Amazon Practice Questions, Discussions & Exam Topics by our Authors
A company wants to use an AWS networking solution that can act as a centralized gateway between multiple VPCs and on-premises network...
The company wants to use an AWS networking solution that acts as a centralized gateway between multiple VPCs and on-premises networks. Let’s break down each of the provided options:
A) Gateway VPC endpoint
A Gateway VPC endpoint is used to connect a VPC to AWS services like Amazon S3 or DynamoDB without needing to route traffic over the internet. It operates at the VPC level for specific AWS services and is not designed to be a centralized gateway for connecting multiple VPCs or on-premises networks. Thus, this option is not appropriate for the scenario described in the question.
B) AWS Direct Connect
AWS Direct Connect is a service that provides a dedicated network connection between on-premises infrastructure and AWS. While Direct Connect can be used to establish a stable and high-bandwidth connection between on-premises networks and AWS, it does not provide a centralized solution for connecting multiple VPCs. It focuses more on connecting on-premises data centers directly to AWS but does not inherently facilitate routing between multiple VPCs. Therefore, it is not suitable for this particular requirement.
C) AWS Transit Gateway
AWS Transit Gateway is designed specifically to act as a centralized hub that connects multiple VPCs and on-premises networks. It provid...
Author: Mia · Last updated May 15, 2026
An administrator observed that multiple AWS resources were deleted yesterday.Which AWS service will help identify the c...
To determine which user deleted AWS resources, the best service to use is AWS CloudTrail. Here's the reasoning behind the choice:
AWS CloudTrail (Selected Option: A)
AWS CloudTrail records API calls and provides a log of events and actions taken by users in your AWS account. It helps track who deleted resources by capturing detailed information, such as the IAM user or role, the specific API calls made, the time of the action, and other related metadata. By analyzing CloudTrail logs, administrators can trace the activity to a specific user and identify the cause of the deletion.
Key factors supporting CloudTrail:
- Effort: CloudTrail is designed for logging user activities, making it easy to track deletions and other actions.
- Time: CloudTrail stores logs for up to 90 days, and with extended retention, you can look back further, depending on your configuration.
- Cost: CloudTrail is generally low-cost, but if you need extended log storage or additional processing, there may be some costs.
- Scenario: CloudTrail is specifically built for auditing and tracking user actions, including deletions of resources, making it ideal for this use case.
Why Other Options Are Rejected:
1. Amazon Inspector (Option B):
- Amazon Inspector is a security assessment service that helps find vulnerabilities in your AWS environment but does not log specific user actions like deletions.
...
Author: Maya · Last updated May 15, 2026
To assist companies with Payment Card Industry Data Security Standard (PCI DSS) compliance in the cl...
To assist companies with Payment Card Industry Data Security Standard (PCI DSS) compliance in the cloud, AWS provides a combination of tools and resources that help companies understand and meet the requirements of PCI DSS while utilizing AWS services. Let's analyze the options in terms of what AWS provides specifically for PCI DSS compliance:
A) Physical Inspections of Data Centers by Appointment
- Purpose: This option implies that AWS allows companies to schedule visits to inspect their physical data centers.
- Use Case: While physical security is a key aspect of PCI DSS, AWS does not typically allow customers to perform physical inspections of its data centers, as the responsibility for managing physical security lies with AWS itself.
- Rejection Reason: AWS provides documentation and reports on security, but physical inspections are not part of its typical PCI DSS compliance offerings.
B) Required PCI Compliance Certifications for Any Application Running on AWS
- Purpose: This suggests that AWS automatically provides PCI compliance certifications for all applications hosted on its infrastructure.
- Use Case: While AWS itself maintains a PCI DSS-compliant infrastructure, it is the responsibility of the customer to ensure that their applications are PCI-compliant. This includes following best practices and securing their environments.
- Rejection Reason: AWS does not provide certifications for all customer applications by default. It provides a compliant infrastructure, but customers must implement their own PCI DSS controls.
C) An AWS Attestation of Compliance (AOC) Report for Specific AWS Services
- Purpose: An AWS Attestation of Compliance (AOC) is a report that outlines how specific AWS services mee...
Author: Nathan · Last updated May 15, 2026
In which situations should a company create an IAM user instead of an IAM role?
The question asks when a company should create an IAM user instead of an IAM role. Let's analyze each option based on AWS identity and access management practices, which involve IAM users, IAM roles, and their specific use cases.
Key Concepts:
- IAM User: Represents a person or application that directly interacts with AWS using AWS credentials (access keys, secret keys).
- IAM Role: Provides temporary permissions that can be assumed by trusted entities (such as users, applications, or AWS services), typically used for cross-account access or for AWS services like EC2 to interact with other AWS resources.
Evaluation of each option:
- A) When an application that runs on Amazon EC2 instances requires access to other AWS services
- Reasoning: For applications running on EC2 instances, AWS recommends using IAM roles for granting access to other AWS services. IAM roles allow the EC2 instance to assume permissions dynamically, and there is no need to embed long-term credentials in the application.
- Rejection: An IAM role is preferred here, not an IAM user, because it's more secure and scalable for EC2 instances accessing AWS resources.
- B) When the company creates AWS access credentials for individuals
- Reasoning: IAM users are ideal when creating long-term AWS credentials (access key and secret key) for individuals. These users can then authenticate with AWS services and APIs directly, either via the AWS Management Console, AWS CLI, or SDKs.
- Selection: This is the correct situation for creating IAM users, as IAM users are specifically designed for individuals who need access to AWS resources using their credentials.
- C) When the company creates an application that runs on a mobile phone that makes requests to AWS
- Reasoning: In the case of a mobile app that needs to make requests to AWS, Cognito is usually used to authenticate users and then assume roles (not IAM users) for secure access. Directly using IAM users for mobile ap...
Author: Maya · Last updated May 15, 2026
A company hosts a web application on AWS. The company has improved the availability of its application by provisioning multiple Amazon EC2 instances. The company wants to distribute its traffic across the EC2 instances while providing a single point of ...
To distribute traffic across multiple EC2 instances while providing a single point of contact to web clients, the most appropriate AWS service is Application Load Balancer (ALB). Here's a breakdown of each option and the reasoning:
Option A: VPC endpoints
- Purpose: VPC endpoints are used to privately connect VPCs to AWS services like S3, DynamoDB, or other supported AWS services, without using public IP addresses or traversing the internet.
- Rejection Reason: VPC endpoints are not designed to distribute traffic across EC2 instances. They provide secure private connectivity but do not serve as a traffic distribution mechanism for EC2 instances or web applications.
- Scenario: VPC endpoints are useful when you need to access AWS services privately without using the internet, but not for load balancing traffic between EC2 instances.
Option B: Application Load Balancer
- Purpose: The Application Load Balancer (ALB) is designed specifically for distributing traffic across multiple EC2 instances (or containers) based on factors like HTTP headers, request paths, or hostnames. It is ideal for web applications that require content-based routing and high availability.
- Benefits:
- Traffic Distribution: ALB can route traffic to different EC2 instances across multiple Availability Zones, improving the availability of your application.
- Single Point of Contact: ALB provides a single DNS name to clients, simplifying the client-side configuration.
- Scalability: As traffic increases, ALB can automatically scale to handle it, distributing traffic evenly to the EC2 instances.
- Cost-Effective: While there are charges for the load balancer itself, it reduces the complexity of setting up traffic routing and increases availability, which ultimately can lead to lower operational costs in large-scale deployments.
- Scenario: When hosting a web applica...
Author: Carlos Garcia · Last updated May 15, 2026
What is the total volume of data that can be stored in Amazon S3?
When discussing Amazon S3 (Simple Storage Service), it is important to recognize that S3 is designed to offer highly scalable storage, allowing businesses to store vast amounts of data. Now, let’s evaluate the options in the context of S3’s storage capabilities.
A) 10 PB
- Explanation: 10 petabytes (PB) of data is a massive volume, but it still falls far short of the actual capacity of Amazon S3. While Amazon S3 can easily accommodate data volumes of this size, it is not limited to this amount.
- Why rejected: S3 can store much more than 10 PB, so this figure underestimates the actual storage capacity of S3.
B) 50 PB
- Explanation: 50 PB is still a very large amount of data, and although Amazon S3 can certainly support this amount, it is not the upper limit.
- Why rejected: Similar to the 10 PB option, Amazon S3 can store far more than 50 PB, so this is not the correct choice.
C) 100 PB
- Explanation: 100 PB is an enormous amount of storage, and while Amazon S3 can handle this volume, it is still a limit that is too low for what S3 is capable of.
- Why rejected: Like the other options above, this is still below the...
Author: Ming88 · Last updated May 15, 2026
Which design principle is related to the reliability pillar according to the AWS Well-Architected Fr...
The design principle most related to the reliability pillar according to the AWS Well-Architected Framework is A) Test recovery procedures. Here’s why:
AWS Well-Architected Framework: Reliability Pillar
The reliability pillar focuses on ensuring that a system can recover from failures, meet customer demands, and perform optimally over time. One of the key design principles in this pillar is testing recovery procedures. This ensures that your systems can withstand failures and recover quickly when needed, which is essential for maintaining high availability and minimizing downtime.
Why Test recovery procedures (Option A) is the correct choice:
- Services: Recovery procedures directly involve using services like AWS Backup, Amazon EC2 Auto Recovery, and Amazon RDS Multi-AZ for ensuring that systems can automatically recover from failures.
- Effort: Testing recovery procedures requires designing failure scenarios and performing drills, which helps in minimizing recovery time in real-world failures.
- Time: If you don’t regularly test recovery procedures, system downtime may be longer during a failure, impacting the overall reliability of the system.
- Cost: Testing recovery procedures is often low-cost but critical for maintaining system reliability, as untested recovery plans can result in prolonged outages, costing more in lost productivity and reputation.
- Scenario: In scenarios where an organization is prioritizing high availability and disaster recovery, testing recovery procedures ensures that the system can recover from failures and main...
Author: David · Last updated May 15, 2026
A company stores data in an Amazon S3 bucket.Which task is the responsibility of AWS?
When considering which task is the responsibility of AWS in relation to an Amazon S3 bucket, the correct answer is D) Protect the infrastructure that supports S3 storage. Here's the detailed reasoning:
Key Responsibilities of AWS vs. Customer for S3:
- AWS's Responsibility: AWS is responsible for the security, durability, and availability of the infrastructure supporting S3. This includes maintaining the physical hardware, the global network infrastructure, data replication, and ensuring the overall reliability of the S3 service itself.
- Customer's Responsibility: Customers are responsible for configuring and managing data-related aspects within S3, such as bucket policies, versioning, lifecycle policies, and access management.
Why D) Protect the infrastructure that supports S3 storage is the correct choice:
- Services: AWS is responsible for the underlying infrastructure and security measures (such as DDoS protection, network security, and physical security) that keep Amazon S3 up and running.
- Effort: AWS handles the effort related to securing the data centers and physical components that host the S3 service.
- Time: AWS ensures that the infrastructure is protected 24/7 and remains highly available.
- Cost: The cost of protecting the underlying infrastructure is included in the cost of using S3, and customers don’t need to worry about it.
- Scenario: If a customer is concerned about the protection of the physical infrastructure and service availability of S3, AWS handles those responsibilities. Customers can focus on managing th...
Author: Madison · Last updated May 15, 2026
A company wants to transfer a virtual Windows Server 2022 that is currently running in its own data center to AWS. The company wants to automatically convert the existing server to run directly on AWS infr...
To transfer a virtual Windows Server 2022 from an on-premises data center to AWS and convert it to run directly on AWS infrastructure, the most suitable AWS service is AWS Application Migration Service. Below is a detailed breakdown of each option and the reasoning:
Option A: AWS DataSync
- Purpose: AWS DataSync is primarily used for transferring large amounts of data between on-premises storage and AWS. It is typically used to transfer data for backups, archiving, or large-scale migrations of file systems or objects.
- Rejection Reason: AWS DataSync does not handle the migration of virtual machines (VMs) or the conversion of on-premises systems to run natively on AWS infrastructure. It is not designed for converting or migrating virtual machines like Windows Server.
- Scenario: DataSync is useful when transferring file-based data to S3, EFS, or FSx for Windows File Server but does not apply to VM migration.
Option B: AWS Database Migration Service (AWS DMS)
- Purpose: AWS DMS is designed for migrating databases to AWS. It helps with database migration and replication, including schema and data transfer from on-premises databases to Amazon RDS or EC2 instances.
- Rejection Reason: AWS DMS is specifically for database migrations and does not handle the migration of virtual machines or servers. It is not designed to migrate entire servers like Windows Server 2022.
- Scenario: DMS is useful when you are migrating databases, but it is not applicable to migrating or converting a full virtual server.
Option C: AWS Application Discovery Service
- Purpose: AWS Application Discovery Service is a tool that helps you plan server migrations by discovering and collecting information about on-premises applications, workloads, and dependencies. It provides insights for migration planning but does not perform the migration itself.
- Rejection Reason: While it is useful for planning a migration by discovering on-premises workloads, it does not handle the actual migration or con...
Author: Ahmed97 · Last updated May 15, 2026
Which AWS service is a fully managed NoSQL database service?
The correct answer is C) Amazon DynamoDB. Here’s the detailed reasoning:
What makes a database "NoSQL"?
- NoSQL databases are designed to store and manage unstructured or semi-structured data and do not use traditional relational database tables. They often offer high scalability and flexibility in terms of data models (such as key-value pairs, document, column-family, etc.).
AWS Services Overview:
1. Amazon DynamoDB (Option C):
- Fully Managed NoSQL Database: Amazon DynamoDB is a fully managed, highly scalable NoSQL database service that supports key-value and document data structures. It is designed for applications that require low-latency, high-throughput performance, and scalability.
- Effort: DynamoDB handles the infrastructure, scaling, and management, so minimal operational effort is required from the user.
- Time: DynamoDB is designed for fast performance, with single-digit millisecond response times, which helps minimize the time spent managing databases.
- Cost: Pricing is based on read and write capacity units, and it’s optimized for high availability and durability, making it a cost-effective solution for large-scale applications.
- Scenario: Ideal for applications that require flexible schema, scalability, and low-latency access to large amounts of data, such as mobile apps, gaming, IoT, and web applications.
2. ...
Author: Grace · Last updated May 15, 2026
A company deployed an application in multiple AWS Regions around the world. The company wants to improve the application=E2=80=99s performance a...
To improve the performance and availability of an application deployed in multiple AWS regions, the correct choice is A) AWS Global Accelerator. Here’s the detailed reasoning:
AWS Global Accelerator (Option A)
- AWS Global Accelerator is a service designed to optimize the performance and availability of applications deployed across multiple AWS regions. It provides global static IP addresses and intelligently routes traffic to the optimal region based on health, geography, and routing policies. It improves performance by reducing latency and increasing the availability of applications through better traffic distribution.
- Services: Global Accelerator works by directing user traffic to the most optimal endpoint (e.g., EC2, Elastic Load Balancer, or an Application Load Balancer) in the nearest AWS region, providing low-latency routing and global fault tolerance.
- Effort: Global Accelerator is relatively easy to configure and integrates well with AWS services. It requires minimal operational effort once set up.
- Time: It reduces latency by routing traffic to the most appropriate AWS region, improving application responsiveness and availability almost immediately.
- Cost: Costs are based on the amount of traffic handled by the accelerator and the regions involved, but it is typically cost-effective when improving performance for globally distributed applications.
- Scenario: Ideal for applications deployed across multiple regions that require improved performance (low-latency routing) and high availability through automatic failover in case of region or endpoint failures.
Why Other Options Are Rejected:
1. Amazon DataZone (Option B):
- Amazon DataZone is a data management service designed for ...
Author: Kunal · Last updated May 15, 2026
A company wants to migrate its on-premises SQL Server database to the AWS Cloud. The company wants AWS to handle the day-to-day administration of the...
To determine the best option for migrating an on-premises SQL Server database to AWS while having AWS handle the day-to-day administration of the database, let's consider the factors mentioned, such as services, effort, time, cost, and other key factors.
Option A: Amazon EC2 for Microsoft SQL Server
- Services & Effort: Amazon EC2 allows you to launch virtual machines on AWS where you can install and configure SQL Server yourself. This means the company would still have to manage the database, including backups, patching, scaling, and other day-to-day administrative tasks.
- Time & Cost: While EC2 provides flexibility in terms of server configurations, this approach requires significant ongoing administrative effort. The company would need to manage the underlying infrastructure, apply patches, ensure high availability, and scale the database as needed.
- Other Key Factors: This option provides full control but comes with increased operational overhead and complexity.
Rejection Reason: This doesn't meet the requirement for AWS to handle day-to-day administration, which is a critical need mentioned in the question.
Option B: Amazon DynamoDB
- Services & Effort: Amazon DynamoDB is a NoSQL database service, which means it is not compatible with the SQL Server database. SQL Server is a relational database, and DynamoDB is designed for unstructured data that doesn't fit the relational model.
- Time & Cost: While DynamoDB offers ease of management (fully managed and scalable), it doesn't meet the compatibility requirements for a SQL Server database.
- Other Key Factors: DynamoDB is not designed for SQL workloads, making it unsuitable for this use case.
Rejection Reason: It is not compatible with SQL Server databases and does not fulfill the requirement for migrating a relational database.
Option C: Amazon RDS (Relational Database Service)
- Services & Effort: Amazon RDS is a fully managed relati...
Author: Ella · Last updated May 15, 2026
A company needs stateless network filtering for its VPC.Which AWS service, tool, or feature will mee...
To address the requirement of stateless network filtering for a VPC, let's evaluate the given options, considering factors such as service functionality, effort, time, cost, and other key aspects.
Option A: AWS PrivateLink
- Services & Effort: AWS PrivateLink allows secure and private connectivity between VPCs and AWS services or on-premises applications. It is a service for managing connectivity, not specifically for network filtering.
- Time & Cost: While it provides secure private access, it doesn’t provide any stateless filtering or network-level security controls. It's useful for reducing the complexity of managing VPNs but doesn't address the requirement for network filtering.
- Other Key Factors: This option is not designed for network filtering, stateless or otherwise.
Rejection Reason: AWS PrivateLink does not fulfill the requirement of providing stateless network filtering.
Option B: Security Group
- Services & Effort: Security groups in AWS are stateful firewalls that are associated with EC2 instances, load balancers, and other resources. While they provide filtering of inbound and outbound traffic, they are stateful, meaning that they track connections and allow or deny based on the state of the connection.
- Time & Cost: Security groups are easy to set up and manage but do not meet the requirement for stateless filtering. They are ideal for controlling access based on instance-level security but not for stateless network-level filtering.
- Other Key Factors: Security groups provide automatic handling of connection states, which makes them unsuitable for stateless filtering.
Rejection Reason: Security groups are stateful, and the requirement specifically calls for stateless filtering.
Option C: Network Access Control List (ACL)
- Services & Effort: A Network ACL...
Author: FlamePhoenix2025 · Last updated May 15, 2026
Which option is an advantage of AWS Cloud computing that minimizes variable costs?
To answer this question, we need to focus on the aspect of minimizing variable costs. Variable costs in cloud computing refer to costs that fluctuate based on usage, such as the consumption of computing resources, storage, and data transfer. Let's analyze the options with this focus:
A) High availability
- Focus: High availability ensures that applications and services are continuously available, even in the event of hardware failures or other disruptions. This is important for uptime and business continuity.
- Rejection Reason: While high availability improves reliability and minimizes downtime, it does not directly address minimizing variable costs. It’s more about service uptime and ensuring consistent service availability, not about reducing costs based on usage.
B) Economies of scale
- Focus: Economies of scale refer to the cost advantages gained by increasing the scale of cloud services. As AWS operates at a global scale, it can offer lower prices due to its ability to spread costs across many customers.
- Reason for Selection: Economies of scale can directly minimize variable costs. For example, as more users adopt AWS services, the company’s ability to buy resources in bulk allows AWS to reduce the prices for individual customers. This leads to lower per-unit costs for compute, storage, and other...
Author: Liam123 · Last updated May 15, 2026
A company wants to migrate its server-based applications to the AWS Cloud. The company wants to determine the total cost of ownership for its compute resources that will be hosted on the AWS Cloud.W...
To help the company determine the total cost of ownership for its compute resources that will be hosted on the AWS Cloud, we need to evaluate the available options considering the services' ability to provide cost estimation, migration assistance, and how well they fit into the goal of cost assessment.
Option A: AWS Pricing Calculator
- Services & Effort: The AWS Pricing Calculator is a service that allows you to estimate the cost of using AWS services based on your specific configuration. This is highly relevant for determining the total cost of ownership (TCO) for compute resources, as it provides detailed pricing estimates for compute, storage, and other services based on usage and configuration.
- Time & Cost: The tool is user-friendly and efficient for quickly estimating costs. It enables you to configure various AWS services to see how different configurations impact overall costs.
- Other Key Factors: The AWS Pricing Calculator directly addresses the need to calculate the cost of compute resources and total cost of ownership for AWS services, making it a perfect match for this use case.
Selected Reason: It provides the necessary tool to estimate AWS costs, including compute resources, and is central to determining TCO for the migration.
Option B: Migration Evaluator
- Services & Effort: Migration Evaluator (formerly known as TSO Logic) is an AWS tool that helps organizations analyze their existing on-premises environment to determine the cost savings and efficiency gains from moving to AWS. It provides TCO analysis by assessing the company's current infrastructure and comparing it to AWS usage.
- Time & Cost: Migration Evaluator can be used to analyze current on-premises infrastructure to help determine the potential cost savings and the estimated total cost of ownership (TCO) on AWS. It simplifies the migration planning process by offering detailed TCO analysis.
- Other Key Factors: This tool is specifically designed to evaluate the cost savings and migration feasibility, making it a critical resource for understanding the TCO for a server-based migration.
Selected Reason: Migration Evaluator is ideal for providing a comprehensive TCO analysis during the migration process, addressing the need to evaluate both current and future infrastructure costs.
Option C: AWS Support Center
- Services & Effort: The AWS Support Center is primarily a hub for managing AWS support cases and obtaining assistance w...
Author: Mia · Last updated May 15, 2026
A company has data lakes designed for high performance computing (HPC) workloads.Which Amazon EC2 instance type s...
To determine the best Amazon EC2 instance type for data lakes designed for high-performance computing (HPC) workloads, we need to evaluate the characteristics of the instance types and match them with the specific needs of HPC workloads, which typically require high computational power, fast data access, and optimal storage.
Option A: General Purpose Instances
- Services & Effort: General purpose instances (e.g., t3, m5) provide a balanced combination of compute, memory, and networking resources. These instances are good for a wide range of applications but do not specialize in high-performance computing.
- Time & Cost: They are cost-effective and suitable for many general-use cases, but they are not specifically optimized for the computational and storage demands of HPC workloads.
- Other Key Factors: While general-purpose instances can handle many workloads, HPC requires specialized configurations that general-purpose instances might not fully support in terms of processing power, memory, or I/O performance.
Rejection Reason: General-purpose instances do not provide the performance necessary for high-performance computing workloads, which require specialized capabilities.
Option B: Compute Optimized Instances
- Services & Effort: Compute-optimized instances (e.g., c5, c6g) are designed to deliver high computational power, making them ideal for compute-intensive workloads like batch processing, video encoding, and scientific modeling.
- Time & Cost: These instances are cost-efficient for high-performance computational tasks, providing high processing power for demanding applications. However, HPC workloads often involve massive data sets that require fast storage and memory bandwidth, which compute-optimized instances alone may not handle as efficiently.
- Other Key Factors: While compute-optimized instances offer strong performance for processing, HPC workloads often need faster access to large datasets (which is more dependent on storage and memory optimization), something compute-optimized instances don’t necessarily prioritize.
Rejection Reason: Compute-optimized instances are great for processing power but may not be the best fit for HPC workloads, which also require fast memory and storage capabilities.
Option C: Memory Optimize...
Author: Aarav · Last updated May 15, 2026
Which benefits does a company gain when the company moves from on-premises IT architecture to the AW...
To evaluate the benefits a company gains when moving from on-premises IT architecture to the AWS Cloud, we need to consider key factors such as cost savings, effort, time, flexibility, and security. Let's assess each option based on these criteria:
A) Reduced or eliminated tasks for hardware troubleshooting, capacity planning, and procurement
- Benefit: When a company moves to the AWS Cloud, it no longer needs to worry about the physical infrastructure (e.g., servers, storage devices) that must be maintained on-premises. AWS provides on-demand, scalable infrastructure, so tasks such as hardware troubleshooting, capacity planning, and procurement are largely eliminated or reduced.
- Relevance: This is a clear benefit of moving to the cloud because AWS abstracts and automates many aspects of infrastructure management, reducing the operational burden on the company’s IT teams.
- Scenario: For companies that used to spend significant time on managing hardware and scaling resources, this shift to the cloud can drastically reduce costs and effort related to these tasks.
B) Elimination of the need for trained IT staff
- Benefit: While AWS simplifies infrastructure management and reduces some manual tasks, trained IT staff are still essential to properly set up, monitor, and manage cloud environments. The company still needs skilled personnel for tasks like managing AWS resources, optimizing cloud performance, and ensuring security.
- Relevance: This is not accurate. Moving to the cloud may reduce some infrastructure management burden, but IT staff with cloud expertise are still needed to configure, monitor, and manage the AWS environment.
- Scenario: This option is incorrect because AWS doesn't eliminate the need for IT staff; it only changes the skill set required.
C) Automatic security configuration of all applications that are migrated to the cloud
- Benefit: While AWS provides many security tools and best practices, automatic security configuration for all applications isn’t a guarantee. The company still needs to ensure that security settings are correctly applied based on the application requirements, whether through AWS services like IAM, security groups, or network ACLs.
- Relevance: Security in the cloud is a shared responsibility. AWS manages secu...
Author: Rohan · Last updated May 15, 2026
A company is planning to migrate to the AWS Cloud. The company is conducting organizational transformation and wants to become more responsive to customer inquiries and feedback.Which task should the company perform to ...
When a company is planning to migrate to the AWS Cloud and wants to become more responsive to customer inquiries and feedback, the AWS Cloud Adoption Framework (AWS CAF) emphasizes aligning organizational changes with business and technical transformation. This requires shifting the way teams operate and adopting methodologies that enhance responsiveness and innovation. Let's break down the options to identify the most suitable actions according to AWS CAF.
Option Analysis:
A) Realign teams to focus on products and value streams:
- Description: Realigning teams to focus on products and value streams involves organizing teams around specific products or services rather than traditional organizational silos (e.g., development, operations). This encourages faster decision-making and closer alignment with customer needs.
- Suitability: This is an excellent choice because it directly addresses the goal of becoming more responsive to customer inquiries and feedback. By organizing teams to focus on customer-centric products or services, the company can respond more quickly to changing needs, leading to better customer satisfaction and feedback loops.
- Best Use Case: This approach aligns with the Organizational perspective of the AWS CAF, emphasizing team structure and culture changes needed for agility.
B) Create new value propositions with new products and services:
- Description: Creating new value propositions involves introducing new products or services to address customer needs or expand the business offering.
- Suitability: While this can be a strategic goal for the company, it is not directly aligned with becoming more responsive to customer inquiries or feedback in the short term. Creating new products is a long-term strategy and may not immediately address the need for improved responsiveness.
- Best Use Case: This approach is relevant if the company wants to innovate or explore new markets, but it is not the immediate solution for improving responsiveness as required by the question.
C) Use agile methods to rapidly iterate and evolve:
- Description: Adopting agile methodologies involves using iterative development cycles, regular feedback loops, and continuous improvement, which enables a company to respond faster to changing requirements and customer feedback.
- Suitability: This is a perfect choice for enhancing responsiveness. Agile methods are central to being adaptable and quickl...
Author: Olivia Johnson · Last updated May 15, 2026
A company that is planning to migrate to the AWS Cloud is based in an isolated area that has limited internet connectivity. The company needs to perform local data processing on premises. The company needs a solution that ...
The company is based in an isolated area with limited internet connectivity and needs a solution to perform local data processing on premises without a stable internet connection. We need to find an AWS service that can meet these requirements, ensuring it supports local operations even with intermittent or no internet connectivity.
Option A: Amazon S3
- Services & Effort: Amazon S3 is a highly scalable object storage service designed for use in the cloud. It relies on internet connectivity for uploading and downloading data. While it’s an excellent option for cloud storage, it doesn’t support local data processing or offline operations.
- Time & Cost: S3 requires a stable internet connection to interact with its storage resources, making it unsuitable for a scenario with limited connectivity.
- Other Key Factors: It doesn’t address the requirement of operating without a stable internet connection for local data processing.
Rejection Reason: Amazon S3 requires an internet connection for most operations, which makes it unsuitable for a scenario where the company needs to perform local data processing without stable internet access.
Option B: AWS Snowball Edge
- Services & Effort: AWS Snowball Edge is a device designed to provide edge computing capabilities and storage in environments with limited or no internet connectivity. It can process data locally, and the data can later be transferred to AWS when connectivity is available. Snowball Edge is ideal for scenarios where local data processing is needed, especially in remote locations with limited connectivity.
- Time & Cost: Snowball Edge can be a cost-effective solution since it supports offline data processing and helps reduce the need for continuous internet access. The data can later be imported into AWS when connectivity is restored.
- Other Key Factors: It directly supports local data processing and storage, making it a perfect fit for the company’s needs.
Selected Reason: AWS Snowball Edge is designed for situations like this, where the company needs to perform local data processing on-...
Author: Jack · Last updated May 15, 2026
A company wants to build graph queries for real-time fraud pattern detection.Which AWS service will ...
To address the requirement of building graph queries for real-time fraud pattern detection, let's evaluate the available options:
A) Amazon Neptune
Amazon Neptune is a fully managed graph database service that supports both property graph and RDF graph models, making it suitable for applications that need to analyze complex relationships in connected data. Since fraud detection often involves discovering patterns and relationships among various entities like users, transactions, and locations, graph databases are ideal because they are optimized for traversing and querying relationships. Neptune can be used with Gremlin or SPARQL queries to effectively detect fraud patterns by examining relationships and behaviors over time.
Pros:
- Specifically designed for graph data and supports highly complex queries involving relationships.
- Real-time querying capability for fraud detection in transactional data.
- Managed service, so less effort is needed for setup, scaling, and maintenance.
Cons:
- Cost can be higher depending on the data size and query complexity.
- Slight learning curve if not familiar with graph databases.
Time and Effort:
- Quick to set up as it is a managed service, but some effort is required to design the graph schema effectively for fraud pattern recognition.
Cost:
- The pricing is based on instance types, storage, and throughput. Costs may scale with the complexity and volume of queries.
B) Amazon DynamoDB
Amazon DynamoDB is a fully managed NoSQL database designed for high availability and performance at scale, but it is not a graph database. It is optimized for key-value and document data models. While it can handle large volumes of data and perform real-time queries, it is not suitable for complex graph queries where relationships between data points are key, such as fraud detection.
Pros:
- Highly performant with low-latency reads and writes, making it suitable for high-volume transactions.
- Managed service, so it reduces operational overhead.
Cons:
- Does not natively support graph queries.
- Limited in its ability to explore relationships between data, which is critical for fraud detection.
- Complex relationships and patterns would require extra effort in developing custom logic.
Time and Effort:
- Minimal setup effort, but significant time is needed to build custom relationships and queries for fraud detection.
Cost:
- DynamoDB pricing is b...
Author: Aria · Last updated May 15, 2026
A company wants to migrate to the AWS Cloud. The company needs the ability to acquire resources when the resources are necessary. The company also needs the ability to release those resources when the resources a...
To address the company's requirement of acquiring resources when necessary and releasing them when no longer necessary, the architecture concept that fits best is Elasticity.
A) Elasticity
Elasticity refers to the ability of the AWS Cloud to automatically scale resources up or down based on demand. This concept allows you to provision and de-provision resources dynamically, optimizing cost and ensuring you only pay for what you use. When demand increases, more resources can be allocated, and when demand decreases, resources can be released.
Key points:
- Elasticity directly meets the requirement to acquire and release resources as needed.
- It helps the company avoid over-provisioning and reduces costs by scaling down resources when not needed.
- AWS services like EC2 Auto Scaling, Elastic Load Balancing, and AWS Lambda are examples of services that provide elasticity by automatically adjusting resource capacity in real time based on usage patterns.
Pros:
- Automatically adjusts to resource demand, reducing manual intervention.
- Cost-effective, as resources are used only when necessary.
- Reduces the risk of underutilization of resources.
Cons:
- Requires proper configuration to set scaling policies and thresholds.
Effort and Time:
- Moderate effort to set up initial configurations, but once set up, it can automatically adjust resources as needed, minimizing ongoing manual management.
Cost:
- Very cost-effective, as you only pay for the resources you use, scaling up or down based on demand.
B) Availability
Availability refers to ensuring that your resources and services are accessible when needed. While availability is crucial in ensuring services are up and running, it does not directly address the need for dynamically acquiring or releasing resources based on demand. Availability focuses more on uptime and fault tolerance, not on resource scaling.
Key points:
- Availability ensures services are always accessible but doesn’t automatically scale resources up or down.
- Related to concepts like high availability (HA) and disaster recovery (DR) but not elasticity.
Effort and Time:
- Designing for availability requires ensuring redundancy and failover mechanisms but doesn’t involve dynamic scaling.
...
Author: Akash · Last updated May 15, 2026
A company wants to deploy a web application as a containerized application. The company wants to use a managed service that can automatically create container images from source code and de...
To meet the company's requirements of deploying a web application as a containerized application, where the company wants to use a managed service that can automatically create container images from source code and deploy the containerized application, the best fit is AWS App Runner.
Explanation:
- AWS App Runner is a fully managed service that allows developers to deploy containerized applications directly from source code or a container image. It automates the process of creating the container image from source code, deploying, scaling, and maintaining the web application. It abstracts the underlying infrastructure management, making it easier for the development team to focus on the code itself. This service is designed to be simple and fast, with minimal configuration required.
Advantages of AWS App Runner:
- Automatic Container Image Creation: It can build a container image directly from source code.
- Fully Managed: You don’t need to worry about managing servers or clusters.
- Integrated with CI/CD: Simplifies continuous deployment processes.
- Efficient Scaling: Automatically scales your application based on traffic.
- Amazon Elastic Container Service (Amazon ECS) is a robust service designed for managing containers at scale and is typically used with a more hands-on approach, especially when dealing with large clusters of containers. ECS requires you to manually configure and manage infrastructure (clusters, instances, etc.). It doesn’t automatically handle the creation of container images from source code — you need to handle container image creation separately (using CodeBuild, for example). Therefore, ECS requires more setup and is not as simple as App Runner for the given use case.
Scenario: ECS is ideal when you need fine-grained control over ...
Author: Max · Last updated May 15, 2026
A company has moved all its infrastructure to the AWS Cloud. To plan ahead for each quarter, the finance team wants to track the cost and usage data of all resources from previous months. The finance team wants to automatically generate reports t...
To meet the requirement of tracking cost and usage data from previous months and automatically generating reports, the finance team needs a solution that can provide detailed insights into cost and usage patterns, and automate the process of reporting. Let's evaluate the options:
Evaluating each option:
A) Amazon Detective
- Functionality: Amazon Detective is primarily designed for security investigations and helps analyze and visualize security-related data. It is not intended for cost tracking or financial reporting, and it does not generate cost and usage reports.
- Effort: Setting up Amazon Detective requires integrating it with AWS CloudTrail and Amazon GuardDuty, but it would not help with the task of tracking costs or generating financial reports.
- Time: While Amazon Detective can generate security-related insights, it is irrelevant for cost and usage tracking.
- Cost: Detective pricing is based on the amount of data analyzed, but it does not address the need for financial cost reporting.
- Other Key Factors: Amazon Detective is not suitable for this scenario as it is focused on security, not cost management.
B) AWS Pricing Calculator
- Functionality: AWS Pricing Calculator helps estimate the cost of using AWS services based on inputs like expected usage and configuration options. However, it is not designed for tracking actual usage or cost data over time or generating automatic reports.
- Effort: The calculator requires manual input of data to generate cost estimates, and it does not automatically track or report past usage or costs.
- Time: Setting up cost estimates with the Pricing Calculator requires time to input usage patterns, but it does not offer ongoing reporting capabilities.
- Cost: There is no direct cost associated with using the Pricing Calculator, but it does not provide the historical cost tracking and reporting that the finance team needs.
- Other Key Factors: The Pricing Calculator is useful for cost estimation before deployment, but it cannot track or report historical data automatically.
C) AWS Budgets
- Functionality: AWS Budgets allows users to track their AWS usage and costs, set budget thresholds, and receive alerts when those thresholds are exceeded. It ...
Author: Sam · Last updated May 15, 2026
Which AWS Cloud Adoption Framework (AWS CAF) perspective focuses on real-time insights and answers q...
The AWS Cloud Adoption Framework (AWS CAF) provides a structured approach to help organizations plan their cloud adoption. The framework is divided into multiple perspectives, each addressing different aspects of the adoption process. These perspectives are designed to help organizations better understand the changes, challenges, and strategic planning needed for a successful cloud migration.
Option A: Operations
The Operations perspective of AWS CAF focuses on the processes and activities that are required to manage and operate a cloud environment effectively. It addresses areas such as incident management, operational excellence, and the ability to manage cloud services in production.
- Rejected because: The Operations perspective is concerned with managing day-to-day activities and the overall operational processes in the cloud, not specifically with strategy or real-time insights.
Option B: People
The People perspective of AWS CAF focuses on the organizational change management aspects of cloud adoption. It addresses the skills, roles, and cultural changes needed within an organization to successfully adopt and operate in the cloud. This includes training, communication, and leadership alignment.
- Rejected because: The People perspective is about enabling the workforce for cloud adoption and does not focus on real-time insights or strategic decision-making....
Author: Aarav · Last updated May 15, 2026
A company wants to migrate critical on-premises production systems to Amazon EC2 instances. The production instances will be used for at least 3 years. The company wants a pricin...
To address the company's requirement of migrating critical on-premises production systems to Amazon EC2 instances with a focus on minimizing cost for a 3-year period, we need to evaluate the different EC2 pricing options available. Each option has its own strengths and is suitable for different use cases based on factors such as cost, effort, time, and usage patterns.
A) On-Demand Instances
On-Demand Instances allow you to pay for compute capacity by the hour or second, with no long-term commitments. While this option provides flexibility and ease of use, it is generally the most expensive pricing option for consistent, long-term usage, such as the company's requirement to run critical production systems for 3 years.
Pros:
- Flexible: Pay only for what you use.
- No long-term commitment.
- Ideal for unpredictable workloads or short-term usage.
Cons:
- Higher cost for continuous and long-term usage.
- Not optimized for minimizing costs over a 3-year period.
Effort and Time:
- Very easy to set up with minimal effort.
- No long-term planning or upfront commitment required.
Cost:
- High cost, especially for long-term usage like the 3 years mentioned.
B) Reserved Instances
Reserved Instances (RIs) provide a significant discount compared to On-Demand pricing in exchange for a commitment to a specific instance type, region, and term (1 or 3 years). This is the most cost-effective option for stable, predictable workloads over a 3-year period, which matches the company's requirement.
Pros:
- Significant cost savings (up to 75%) compared to On-Demand pricing.
- Flexibility in payment options (All Upfront, Partial Upfront, or No Upfront).
- Ideal for workloads that are predictable and run continuously for a long period (like production systems).
Cons:
- Requires a long-term commitment (1 or 3 years).
- Less flexibility if workload requirements change over time.
Effort and Time:
- Requires planning and commitment upfront.
- Requires selecting the appropriate instance types and regions, but the cost savings will be significant over time.
Cost:
- Much cheaper than On-Demand for long-term usage.
- The best option for minimizing cost in this scenario.
C) Spot Instances
Spot Instances allow you to bid for unused EC2 capacity at a discount, often up to 90% off the On-Demand price. While this ...
Author: Michael · Last updated May 15, 2026
Which AWS Well-Architected Framework concept represents a system's ability to remain functional when...
To address the question about the AWS Well-Architected Framework concept that represents a system's ability to remain functional when encountering operational problems, we need to evaluate the key concepts mentioned in the options and how they align with maintaining functionality during issues.
A) Consistency
Consistency refers to the guarantee that the system always presents the same data at any given point, especially in distributed systems. This ensures that data remains in a consistent state across all nodes, but it doesn't specifically address a system's ability to stay functional during operational problems.
Key points:
- Focuses on data integrity, not on system availability or resilience.
- Does not directly address the system’s ability to stay functional in the face of operational failures.
Scenario: Consistency is critical in distributed systems, such as databases, but it’s not the right concept for overall system functionality during problems.
B) Elasticity
Elasticity refers to the ability of a system to automatically scale up or down based on demand. It is essential for handling varying workloads efficiently but doesn't specifically address a system's ability to function during operational issues like failures or disruptions.
Key points:
- Ensures resources are provisioned dynamically based on workload, but not focused on fault tolerance.
- Does not guarantee functionality during operational problems.
Scenario: Elasticity is essential for scaling resources in response to changing workloads, but it doesn't deal with system resilience during failures.
C) Durability
Durability refers to the ability of a system to protect data from loss, even in the event of failures. While this is important for data protection, it is not focused on the system’s ability to remain functional during operational issues. Durability ensures that data remains intact, but it doesn’t guarant...
Author: Siddharth · Last updated May 15, 2026
Which pillar of the AWS Well-Architected Framework focuses on the ability to recover automatically f...
To determine which pillar of the AWS Well-Architected Framework focuses on the ability to recover automatically from service interruptions, let's evaluate the options and understand the core focus of each pillar.
A) Security
Security ensures that data, systems, and assets are protected against unauthorized access, and that they comply with relevant regulations and standards. While security involves designing systems to be resilient to attacks and unauthorized access, it does not specifically focus on automatically recovering from service interruptions.
Key points:
- Security focuses on preventing security breaches, ensuring access control, and protecting data.
- Not directly related to automatic recovery from service interruptions.
Scenario: The security pillar is used to protect against threats and vulnerabilities but doesn't focus on service recovery.
B) Performance efficiency
Performance efficiency focuses on using resources efficiently and adapting to changing requirements to meet performance objectives. It involves optimizing resource usage based on workload needs and scaling. While performance is a critical aspect of operational efficiency, this pillar does not focus on automatic recovery from service interruptions.
Key points:
- Focuses on optimizing system performance and resource utilization.
- Not specifically related to service recovery after interruptions.
Scenario: Performance efficiency is key for high-performance applications but does not directly address recovery after disruptions.
C) Operational excellence
Operational excellence is about running and monitoring systems to deliver business value and continuously improve processes. While it includes processes like incident management and improving operational practices, it focuses more on the ongoing operations, monitoring, and continuous improvement rather than automatic recovery from service interruptions.
Key...
Author: FlamePhoenix2025 · Last updated May 15, 2026
A company has multiple SQL-based databases located in a data center. The company needs to migrate all database servers to the AWS Cloud to reduce the cost of operating physical servers.Which AWS s...
To determine the AWS service or resource that meets the requirements with the least operational overhead, let’s analyze each option in terms of operational overhead, cost, and migration effort.
A) Amazon EC2 instances
- Operational Overhead: EC2 provides virtual machines where you can install and manage SQL databases. The user is responsible for configuring the database, maintaining backups, scaling, patching, and applying security updates. This results in high operational overhead.
- Cost: While EC2 instances can be cost-effective depending on the instance type, the management overhead, licensing, and manual efforts for database management can make it more expensive in terms of time and resources.
- Suitability: This option requires significant manual effort for migration and ongoing management. It’s suitable when complete control over the database environment is required, but not ideal for minimizing operational overhead.
B) Amazon RDS
- Operational Overhead: Amazon RDS (Relational Database Service) is a managed database service that automates much of the database management tasks like backups, patching, and scaling. This significantly reduces operational overhead, which is a key factor in this question.
- Cost: While RDS can be more expensive than EC2 in some scenarios, the cost is often offset by the reduced operational overhead and the ability to optimize resource usage. It can support SQL-based databases like MySQL, PostgreSQL, SQL Server, and MariaDB.
- Suitability: RDS is perfect for migrating SQL databases to the cloud with minimal operational overhead and cost savings in terms of...
Author: Arjun · Last updated May 15, 2026
A company wants to build, train, and deploy machine learning (ML) models.Which AWS service can the c...
To determine the AWS service that best meets the requirement of building, training, and deploying machine learning (ML) models, let's evaluate each option based on its capabilities, ease of use, cost, and purpose:
A) Amazon Personalize
- Purpose: Amazon Personalize is a fully managed service that enables the creation of personalized recommendations for customers. It is primarily focused on building recommendation systems using user and product data.
- Suitability: This service is designed for specific use cases related to personalization (e.g., for recommending products, content, or services). While it simplifies model building, training, and deployment, it is not a general-purpose ML service for all kinds of ML models.
- Not Ideal: The company needs a more general-purpose ML service to build, train, and deploy various types of ML models, not just recommendation models.
B) Amazon Comprehend
- Purpose: Amazon Comprehend is a natural language processing (NLP) service that can analyze text and extract insights, such as sentiment, entities, key phrases, and language.
- Suitability: It’s designed specifically for NLP tasks, such as text classification, sentiment analysis, and entity recognition. While it can be useful for certain types of models, it’s not suitable for general ML model development.
- Not Ideal: The company needs a broader platform for ML model development, not just one specific to text analysis.
C) Amazon Forecast
- Purpose: Amazon Forecast is a fully managed service that allows users to build accurate forecasting models using time-series data.
- Suitabili...
Author: Amira · Last updated May 15, 2026
Which AWS service or tool provides recommendations to help users get rightsized Amazon EC2 instances...
To determine the AWS service or tool that provides recommendations to help users get rightsized Amazon EC2 instances based on historical workload usage data, let's analyze the options provided:
A) AWS Pricing Calculator
- Purpose: The AWS Pricing Calculator helps users estimate the cost of AWS services based on their usage patterns and configuration. It provides cost estimates but does not specifically provide recommendations for rightsizing EC2 instances based on actual workload usage.
- Suitability: It is useful for cost estimation but does not focus on optimizing the size of EC2 instances based on historical data. Therefore, it is not the best fit for rightsizing EC2 instances.
B) AWS Compute Optimizer
- Purpose: AWS Compute Optimizer is a service that provides recommendations for optimizing EC2 instances based on historical usage data. It analyzes the instance usage and recommends the most cost-effective instance size based on the workload requirements (e.g., CPU and memory utilization).
- Suitability: This service is specifically designed to help with the right-sizing of EC2 instances by providing recommendations based on past usage, ensuring that users select appropriately sized instances for better performance and cost-efficiency.
- Best Fit: Since the question specifically asks about "rightsized" EC2 instances based on "historical workload usage data," AWS Compute Optimizer is the most suitable option for this use case.
...
Author: Elijah · Last updated May 15, 2026
A company wants to explore and analyze data in Amazon S3 by using a programming language.Which AWS s...
To determine the best AWS service for exploring and analyzing data in Amazon S3 using a programming language, we need to evaluate each option in terms of its capabilities, suitability, and fit for the task of analyzing S3 data with a programming language.
A) Amazon Kendra
- Purpose: Amazon Kendra is a highly intelligent search service designed to help organizations search and retrieve documents across various data sources. It uses natural language processing (NLP) to deliver more accurate search results.
- Suitability: Kendra is specialized for information retrieval and searching documents (e.g., PDFs, Word documents) from different data repositories, not for exploring or analyzing data in S3 directly using a programming language.
- Not Ideal: This option is more suited for search and document-based queries, not for exploratory analysis of large data sets in S3 using a programming language.
B) Amazon Athena
- Purpose: Amazon Athena is an interactive query service that allows users to analyze data directly in Amazon S3 using SQL. Athena is serverless, meaning you don't need to manage infrastructure. It’s ideal for running SQL queries on structured or semi-structured data stored in S3.
- Suitability: While Athena uses SQL for querying, it allows users to explore and analyze data stored in S3, and it can be integrated with other tools (e.g., AWS SDKs, Python) for programmatic interaction. It can also be used for data analysis using a programming language when integrated with Python or other languages through libraries like `boto3` or `PyAthena`.
- Best Fit: Athena is an excellent choice for analyzing data in S3 because it allows easy querying of S3 data, supports programmatic interaction, and is cost-efficient, especially for exploratory data analysis.
...
Author: Benjamin · Last updated May 15, 2026
A company needs to run an application on Amazon EC2 instances without interruption.Which EC2 instance purchasing optio...
To determine the most cost-effective EC2 instance purchasing option for running an application without interruption, we need to evaluate the different options in terms of cost, availability, and suitability for the use case where uninterrupted operation is critical.
A) Standard Reserved Instances
- Purpose: Standard Reserved Instances (RIs) allow users to commit to using a specific EC2 instance type in a particular region for a one- or three-year term in exchange for a significant discount compared to On-Demand prices.
- Suitability: Reserved Instances offer cost savings but require a commitment for long periods (one to three years). They ensure the availability of the instance as long as the commitment is in place. However, they are less flexible compared to On-Demand Instances, as they are tied to a specific instance type and region.
- Cost-Effectiveness: While RIs provide a good discount, they may not be the best choice if the application needs flexibility or if the company cannot predict its exact needs for the long term.
- Not Ideal: If there are concerns about flexibility or unexpected changes in workload, this might not be the best option, especially compared to On-Demand Instances for uninterrupted operation.
B) Convertible Reserved Instances
- Purpose: Convertible Reserved Instances allow users to change the instance type, operating system, or tenancy during the term of the reservation. They offer similar cost savings to Standard RIs but with more flexibility.
- Suitability: Convertible RIs provide flexibility in terms of instance modifications, but like Standard RIs, they require long-term commitment (one or three years) and are best for predictable workloads.
- Cost-Effectiveness: They provide a cost-effective solution for long-term usage, but the commitment to a specific instance for a long term can still be limiting for companies that need flexibility in the short term or are unsure about their long-term needs.
- Not Ideal: While offering flexibility, this option still comes with the commitment for a longer period and is not the most cost-effective solution for workloads that require maximum flexibility and instantaneous scaling.
C) On-Demand Instances
- Purpose: On-Deman...
Author: Isabella · Last updated May 15, 2026
A company wants a fully managed service that centralizes and automates data protection across AWS services and hybrid work...
To meet the requirements of a fully managed service that centralizes and automates data protection across AWS services and hybrid workloads, we need to evaluate each option based on factors like service management, data protection capabilities, effort, time, cost, and compatibility with hybrid workloads.
Option A: AWS Artifact
AWS Artifact is primarily a compliance and security-related service, providing on-demand access to AWS compliance reports and security certifications. It is not intended for centralized data protection or backup services. While it supports compliance audits, it does not meet the needs for automating and centralizing data protection.
- Rejected because: It does not provide backup or data protection capabilities for AWS services or hybrid workloads.
Option B: AWS Backup
AWS Backup is a fully managed backup service that centralizes and automates backup tasks for a variety of AWS services, including Amazon EFS, RDS, DynamoDB, and EC2, as well as hybrid workloads through the use of AWS Storage Gateway. It provides a centralized approach to backup management, automates backup schedules, and helps meet compliance requirements by allowing retention policies and encryption. It supports both AWS-native services and hybrid...
Author: Benjamin · Last updated May 15, 2026
A company plans to migrate its application from on premises to the AWS Cloud. The company needs to gather usage and configuration data for the applic...
To determine the most appropriate AWS service for gathering usage and configuration data for the application components during a migration from on-premises to AWS Cloud, we need to evaluate the available options based on specific factors like data collection, monitoring, migration effort, time, and cost.
Option A: AWS Database Migration Service (AWS DMS)
- Primary Use: AWS DMS is designed for migrating databases from on-premises to AWS, either for homogeneous or heterogeneous database migrations. It helps move data but does not focus on gathering usage and configuration data about application components.
- Why Not: AWS DMS is used to migrate data between database instances, not to gather usage or configuration data for application components.
Option B: AWS Transfer Family
- Primary Use: The AWS Transfer Family is used to enable secure file transfers via protocols like SFTP, FTPS, and FTP. It's focused on transferring files rather than gathering data about application components.
- Why Not: This service does not focus on monitoring, gathering usage, or configuration data related to applications but rather on facilitating file transfers.
Option C: AWS Application Discovery Service
- Primary Use: AWS Application Discovery Service helps gather detailed information about on-premises applications and their configurations. It collects data on your application dependencies, resource utilization (like CPU and memory usage), and network configurations to assist in planning the migration to the cloud. It automatically discovers your on-premises servers, applications, and their configurations, which is ess...
Author: ThunderBear · Last updated May 15, 2026
Which design principle aligns with performance efficiency pillar of the AWS Well-Architected Framewo...
To address the question about the design principle that aligns with the performance efficiency pillar of the AWS Well-Architected Framework, let's carefully analyze each option:
Performance Efficiency Pillar
The performance efficiency pillar focuses on the efficient use of computing resources to meet system requirements, balancing the tradeoffs between cost, time, and performance. This includes optimizing for resource utilization, selecting the right resource types, and scaling the application as necessary.
Analyzing the options:
A) Using serverless architectures:
- Explanation: Serverless architectures, such as AWS Lambda, are designed to automatically scale with demand, allowing you to run code without managing servers. It automatically adjusts resources based on the workload, improving performance efficiency by reducing underutilization and over-provisioning.
- Reason for selection: Serverless architectures are tightly aligned with the performance efficiency pillar because they abstract away infrastructure management, optimize resource usage, and automatically scale. It minimizes overhead and optimizes performance as the workload changes dynamically, addressing both scalability and performance efficiency.
- Why selected: This directly supports performance efficiency by automatically managing resources in response to varying demand, ensuring optimal performance while minimizing costs and operational overhead.
B) Scaling horizontally:
- Explanation: Horizontal scaling (adding more instances) allows an application to increase capacity by adding more machines or resources. While this can improve performance, it also introduces complexity in managing resources, and you need to manage the cost and balance scalability effectively.
- Reason for rejection: While horizontal scaling is an important prac...
Author: Ethan · Last updated May 15, 2026
A company wants to provide low latency to its users around the world.Which feature of the AWS Cloud ...
The company's goal is to provide low latency to users around the world. This requirement focuses on ensuring that users, regardless of their geographic location, can access resources with minimal delay. To meet this, the right AWS feature must focus on reducing latency by optimizing resource access across various regions and globally distributed users.
Let's evaluate each option based on how it meets the low-latency requirement:
Option A: Global infrastructure
- Primary Use: AWS has a global infrastructure that includes multiple Availability Zones and Regions around the world. This infrastructure is designed to reduce latency by allowing applications to be deployed closer to end users, thus minimizing the distance and time data needs to travel.
- Why Yes: The global infrastructure provides the foundation for low-latency access by enabling resources to be deployed near users in various geographical locations. This is the key factor in ensuring low latency in a global application.
- Scenario: For a globally distributed application that needs low latency, using AWS’s global infrastructure to deploy resources across different regions and Availability Zones is essential. It ensures that users from different regions can access resources quickly without long travel times.
Option B: Pay-as-you-go pricing
- Primary Use: Pay-as-you-go pricing is an AWS pricing model where users pay only for what they use, without the need to commit upfront.
- Why Not: While this pricing model is beneficial for cost management and flexibility, it does not directly address the low-latency requirement. It doesn't affect how quickly data is served to users.
- ...
Author: Ming88 · Last updated May 15, 2026
Which type of workload should a company run on Amazon EC2 Spot Instances?
To determine which type of workload a company should run on Amazon EC2 Spot Instances, it's crucial to focus on the key factors like cost, effort, time, and workload interruption tolerance. EC2 Spot Instances offer significant cost savings by allowing customers to bid on unused EC2 capacity, but they can be terminated by AWS with little notice when capacity is needed elsewhere.
Explanation of the Options:
- A) A steady-state workload that requires a particular EC2 instance configuration for a long period of time: This option is not ideal for Spot Instances because Spot Instances can be interrupted by AWS at any time with little notice. A steady-state workload that requires consistent, long-term availability and a specific instance configuration is better suited for On-Demand Instances or Reserved Instances, where the availability is guaranteed.
- B) A workload that can be interrupted and can control costs: This is the ideal use case for Spot Instances. Spot Instances are perfect for workloads that are flexible and can handle interruptions. Examples include batch jobs, data processing, and stateless applications where the tasks can be restarted if the instances are terminated. Spot Instances offer a significant cost advantage compared to O...
Author: Liam · Last updated May 15, 2026
A company has multiple AWS accounts. The company needs to receive a consolidated bill from AWS and must centrally manage security and compliance.Which AWS s...
To meet the company's requirements of receiving a consolidated bill from AWS and centrally managing security and compliance, the most appropriate AWS service or feature should address both billing consolidation and centralized security/compliance management. Let’s evaluate each option based on the core needs of consolidated billing and centralized security and compliance:
Option A: AWS Cost and Usage Report
- Primary Use: The AWS Cost and Usage Report provides detailed information about the usage and costs of AWS resources across multiple accounts. It generates detailed billing data and can be used to analyze cost breakdowns, usage trends, and savings.
- Why Not: While this service provides detailed billing data, it does not address security and compliance management, which is a key requirement mentioned in the question. It is focused solely on cost analysis rather than centralizing security controls or compliance management.
- Scenario: AWS Cost and Usage Report is best for financial analysis but not for managing security or compliance.
Option B: AWS Organizations
- Primary Use: AWS Organizations allows you to manage multiple AWS accounts in a centralized manner. It supports consolidated billing, meaning that you can receive a single bill for all accounts under the organization. It also enables the central management of service control policies (SCPs) to enforce governance and security policies across accounts.
- Why Yes: AWS Organizations is designed to manage multiple AWS accounts centrally. It allows for consolidated billing, which directly addresses the requirement of receiving a unified bill. It also helps in managing security and compliance by applying policies and controls across all linked accounts.
- Scenario: AWS Organizations is ideal for a company with multiple AWS accounts that needs to consolidate billing and centrally manage security and comp...
Author: Lucas Carter · Last updated May 15, 2026
For which use case are Amazon EC2 On-Demand Instances MOST cost-effective?
To determine the most cost-effective use case for Amazon EC2 On-Demand Instances, let's evaluate the options in terms of cost, effort, time, and key factors like flexibility, usage patterns, and pricing models.
A) Compute-intensive video transcoding that can be restarted if necessary
- Use Case: Video transcoding involves high computational requirements, but it is often temporary and can be run intermittently. Since the task can be restarted without significant business disruption, the flexibility of On-Demand Instances is a good fit.
- Relevance: On-Demand Instances are ideal for short-term, high-performance tasks that require flexibility in scaling up or down. This use case benefits from On-Demand's pay-as-you-go model since the job may be run in bursts and can be stopped and restarted as needed.
- Strengths: High computational workload that can be scaled based on demand, and there is no long-term commitment required.
- Limitations: If transcoding jobs are very frequent or run for a long time, it could become more cost-effective to consider Reserved Instances or Spot Instances.
- Scenario: Suitable for tasks where the compute requirement is high but intermittent, with no long-term commitment.
B) An instance in continual use for 1 month to conduct quality assurance tests
- Use Case: This use case involves using an EC2 instance for continuous work over a month for quality assurance (QA) testing.
- Relevance: For a month-long, continuous workload, On-Demand Instances may not be the most cost-effective. Reserved Instances or Spot Instances would be better choices for longer-term usage, especially if the workload is predictable.
- Strengths: The flexibility of On-Demand Instances is useful for temporary, one-off testing, but there could be potential savings with Reserved Instances for the fixed period.
- Limitations: For a month of continuous use, the cost of On-Demand Instances can add up quickly, especially when the instance needs to be running for 24/7 operations.
- Scenario: Can be used for short-term, variable testing but not the best for extended or predictable use like QA testing.
...
Author: Kunal · Last updated May 15, 2026
A company has developed a new In-house application. The company does not have a way to determine or predict the usage demand that the application will...
The AWS Cloud computing benefit the company is seeking, given they cannot determine or predict the usage demand for their in-house application, is Scalable and high performance. Here's the reasoning:
- Services: AWS offers services that are highly scalable, meaning resources like compute, storage, and networking can automatically scale up or down based on actual demand. This is particularly useful for the company, as they cannot predict how much usage the application will generate.
- Effort: By leveraging AWS's scalability, the company does not need to manually provision or manage infrastructure for varying levels of demand. This significantly reduces the effort needed to manage fluctuating traffic.
- Time: Scalability ensures that the company doesn't need to spend time anticipating future demand or adjusting infrastructure. AWS can handle the scaling process automatically, freeing the team to focus on the application's development.
- Cost: Scalable resources also mean that the company only pays for what they use. If demand is low, they only pay for minimal resources; if demand increases, AWS can automatically allocate additional resources without upfront ca...
Author: Amira99 · Last updated May 15, 2026
Which AWS offering can analyze a company=E2=80=99s AWS environment to discover security vulnerabilit...
The company needs an AWS offering that can analyze its AWS environment to discover security vulnerabilities on Amazon EC2 instances. Let's evaluate each option in terms of its relevance to discovering vulnerabilities specifically on EC2 instances:
Option A: Amazon Inspector
- Primary Use: Amazon Inspector is an automated security assessment service that helps identify security vulnerabilities and deviations from best practices in EC2 instances and other resources. It analyzes the security state of EC2 instances by scanning for vulnerabilities, network accessibility, and compliance with security best practices.
- Why Yes: Amazon Inspector is explicitly designed to discover security vulnerabilities in EC2 instances. It performs in-depth assessments of the EC2 instances, looking for potential security risks, misconfigurations, and outdated software.
- Scenario: Amazon Inspector is the ideal choice when a company needs to identify vulnerabilities and ensure security best practices on EC2 instances in their environment.
Option B: Amazon Macie
- Primary Use: Amazon Macie is a data security and privacy service that uses machine learning to discover, classify, and protect sensitive data, such as personally identifiable information (PII). It is specifically focused on securing data rather than EC2 instance security.
- Why Not: While Amazon Macie is excellent for identifying sensitive data and preventing data leaks, it does not analyze or assess security vulnerabilities on EC2 instances.
- Scenario: Amazon Macie would be useful for securing sensitive data, but it is not suitable for discovering security vulnerabilities on EC2 instances.
Option C: AWS Shield Stand...
Author: RadiantPhoenixX · Last updated May 15, 2026
A company plans to onboard new employees that will be working remotely. The company needs to set up Windows virtual desktops to create a working environment for the new employees. The employees must be able access the working environment from anywh...
To meet the company's requirements of setting up Windows virtual desktops for new employees working remotely, the key needs are to provide employees with access to a working environment from anywhere, using either a computer or a web browser. Let's evaluate each option:
Option A: Dedicated Hosts
- Primary Use: AWS Dedicated Hosts provide physical servers dedicated to your use, which you can use to run EC2 instances. They are ideal for scenarios where you need to control the physical host machine or need to meet compliance requirements.
- Why Not: Dedicated Hosts do not provide virtual desktop environments, nor are they designed to facilitate access to Windows desktops from anywhere. They focus on running workloads on dedicated physical machines and are not meant for end-user desktop access via a browser or remote computer.
- Scenario: Dedicated Hosts are suitable for specific compliance or licensing needs, but they are not appropriate for creating a virtual desktop environment for remote workers.
Option B: AWS Global Accelerator
- Primary Use: AWS Global Accelerator is designed to improve the performance and availability of applications by routing traffic through optimal AWS edge locations globally. It helps accelerate traffic between users and applications.
- Why Not: AWS Global Accelerator does not provide virtual desktops or a managed solution for setting up desktop environments for employees. It’s focused on optimizing application performance, not on providing a platform for remote desktop access.
- Scenario: AWS Global Accelerator is useful for improving application performance but does not directly address the creation of virtual desktops for remote work.
Option C: Amazon Workspaces
- Primary Use: Amazon Workspaces is a fully managed service that all...
Author: Noah · Last updated May 15, 2026
A company wants to visualize and manage AWS Cloud costs and usage for a specific period of time.Which AWS s...
To meet the requirements of visualizing and managing AWS Cloud costs and usage for a specific period of time, let's analyze each option:
A) Cost Explorer
- Service: Cost Explorer is designed specifically for visualizing and analyzing AWS costs and usage over a selected time period.
- Time: It allows users to look at historical usage and spending patterns for a specific timeframe.
- Cost Management: It provides graphical reports and filtering options for deeper analysis of spending by service, linked account, or usage type.
- Scenario: Cost Explorer is ideal for organizations looking to track their AWS costs over time and make cost-saving decisions based on usage patterns.
- Why selected: Meets the requirement to visualize and manage costs for a specified period of time effectively.
B) Consolidated Billing
- Service: Consolidated billing allows multiple AWS accounts to be grouped together under a single payer account for billing purposes.
- Time: While consolidated billing simplifies the payment process, it doesn't provide the detailed, time-based visualization of costs and usage.
- Cost Management: It aggregates costs from multiple linked accounts but doesn't allow for granular reporting or trend analysis over a selected period.
- Scenario: This is useful for organizations managing multiple accounts but lacking the ability to visualize costs in detail.
- Why rejected: Consolidated billing focuses on aggregation and centralized billing, but it doesn’t fulfill the need for in-depth cost analysis over a period of time.
C) AWS Organizations
- Service: AWS Organizations is a service that helps in managing and governing multiple AWS accounts centrally.
- Time: It facilitates organizing accounts but doesn’t spe...
Author: Maya2022 · Last updated May 15, 2026
Which AWS service supports MySQL database engines?
To answer the question about which AWS service supports MySQL database engines, let’s evaluate each option based on its suitability for supporting MySQL specifically:
A) Amazon DynamoDB
- Service: Amazon DynamoDB is a fully managed NoSQL database service.
- Database Engine: It is designed for key-value and document data models, not for relational databases like MySQL.
- Effort: While DynamoDB is a fully managed service, it requires different design patterns for use compared to relational databases.
- Time & Cost: DynamoDB is generally optimized for scalability and low-latency workloads, but it doesn’t support MySQL.
- Scenario: It is suitable for use cases requiring high performance with NoSQL databases, but it doesn't support MySQL.
- Why rejected: DynamoDB does not support MySQL and is not a relational database service.
B) Amazon RDS
- Service: Amazon RDS (Relational Database Service) is a fully managed service for relational databases.
- Database Engine: RDS supports MySQL as one of its primary database engines, along with others like PostgreSQL, MariaDB, SQL Server, and Oracle.
- Effort: RDS simplifies database management by automating administrative tasks such as backups, patching, and scaling.
- Time & Cost: RDS is cost-effective for managing MySQL databases without the overhead of manual configuration and maintenance.
- Scenario: Amazon RDS is the ideal choice when you need a managed MySQL database with minimal effort in terms of maintenance and management.
- Why selected: RDS supports MySQL directly, making it the best option for MySQL database engines.
C) Amazon DocumentDB (with MongoDB compatibility)
- Service: Amazon DocumentDB is a fully managed document database service that is compatible with MongoDB.
- ...
Author: Max · Last updated May 15, 2026
A company purchased Amazon EC2 Standard Reserved Instances (RIs) for a workload in the AWS Cloud. The company needs to move part of the workload to an instance family that does not match the instance family of these...
The company has purchased Amazon EC2 Standard Reserved Instances (RIs) and now needs to move part of the workload to an instance family that does not match the instance family of the current Standard RIs. The company is looking for ways to take advantage of the Standard RIs that it no longer needs. Key factors to consider are:
1. Instance Family Mismatch – The company wants to switch to a different instance family, which means it can no longer use the existing Standard RIs for that new family.
2. Cost-effectiveness – The company likely wants to recover some of the cost of the RIs or make them useful for another purpose.
3. Options for managing unused Standard RIs – The company needs an option to handle these unused RIs in a way that provides flexibility or a return on investment.
A) Contact the AWS Support team, and ask the team to sell the Standard RIs
- Purpose: Contacting AWS support for selling the RIs is not a typical or supported option. AWS does not offer a direct process for the support team to manage or sell RIs on your behalf.
- Cost: This option would not provide any cost savings or value in terms of using or recovering the RIs.
- Rejection: AWS support does not handle selling or reassigning RIs, making this option irrelevant for the goal of recovering value from unused RIs.
B) Sell the Standard RIs on the Amazon EC2 Reserved Instance Marketplace
- Purpose: The EC2 Reserved Instance Marketplace allows customers to sell their unused Standard RIs to other AWS customers. This is an official AWS platform where RIs can be resold.
- Cost: There is a potential to recover some of the cost by selling unused RIs to other customers on the marketplace, which is a cost-effective approach.
- Use case: This option is best if the company no long...
Author: VioletCheetah55 · Last updated May 15, 2026
A company is releasing a business-critical application. Before the release, the company needs strategic planning assistance from AWS. During the release, the company needs AWS infrastructure event m...
To meet the company’s requirements of strategic planning assistance before the release, and AWS infrastructure event management and real-time support during the release, it is essential to understand which AWS services and offerings can provide the right level of support both before and during the application launch.
Let's analyze each option:
A) Access AWS Trusted Advisor:
- Explanation: AWS Trusted Advisor is a tool that provides real-time guidance to help you provision your resources following best practices for cost optimization, security, fault tolerance, and performance. However, Trusted Advisor is primarily focused on ongoing optimization and operational guidance rather than providing strategic planning assistance or real-time event management during a critical release.
- Reason for rejection: Trusted Advisor doesn’t offer strategic planning services or event management support during a release. It’s a self-service tool that provides general recommendations but doesn’t provide the level of personalized, real-time support required for a business-critical application launch.
- Why not: Trusted Advisor does not meet the company's needs for real-time support during the release or pre-release strategic assistance.
B) Contact the AWS Partner Network (APN):
- Explanation: The AWS Partner Network (APN) consists of third-party consulting firms and managed service providers that can offer a variety of professional services for specific use cases. While APN partners may assist with consulting and strategic planning, they do not provide direct AWS infrastructure event management or real-time support as described in the scenario.
- Reason for rejection: APN partners are helpful for providing consulting, but the scenario specifically calls for AWS infrastructure event management and real-time support, which is not the primary offering of APN partners.
- Why not: APN partners focus on consulting services, not AWS-specific infrastructure event management or support during critical releases.
C) Sign up for AWS Enterprise Support:
- Explanation: AWS Enterprise Support off...
Author: Ishaan · Last updated May 15, 2026
A company wants to improve employee productivity by providing a way for employees to search for questions and retrieve specific answers. The company wants to use a single i...
To address the requirement of providing a way for employees to search for questions and retrieve specific answers via a single intelligent search interface, let’s evaluate each AWS service:
A) Amazon Connect
- Service: Amazon Connect is a cloud-based contact center service.
- Use Case: It is designed for customer service interactions and call center management, rather than for internal search and question-answering functionalities.
- Effort: While it offers interactive voice response (IVR) and chatbots, it is focused on improving customer service operations, not providing a search interface for employees.
- Time & Cost: Amazon Connect focuses on customer service workflows and isn’t optimized for an intelligent search interface for employees.
- Scenario: Amazon Connect is suitable for handling customer support queries but not for internal knowledge retrieval via search.
- Why rejected: It doesn’t serve the purpose of a search interface for retrieving specific answers from internal knowledge bases.
B) Amazon Kendra
- Service: Amazon Kendra is a fully managed intelligent search service powered by machine learning.
- Use Case: Kendra is designed to allow users to search across various data sources (e.g., documents, knowledge bases, FAQs) and retrieve specific answers using natural language queries.
- Effort: Kendra provides an easy-to-use, intelligent search interface, reducing the effort needed to implement advanced search capabilities.
- Time & Cost: Kendra is optimized for fast deployment with built-in integrations and can scale with the organization’s needs.
- Scenario: Amazon Kendra is ideal for organizations that want employees to quickly search for and retrieve answers from vast amounts of documents or FAQs with an intelligent search interface.
- Why selected: Kendra specifically addresses the need for intelligent search with natural language understanding, making it the best fit for the described scenario.
C) Amazon Lex
- Service: Amazon Lex is a service for building conversational interfaces using voice and text (e.g., chatbots).
- Use Ca...
Author: Chloe · Last updated May 15, 2026
A company wants an Amazon S3 solution that provides access to object storage within single-digit millisecon...
To address the requirement of providing access to object storage within single-digit milliseconds using Amazon S3, let’s evaluate each option based on time, cost, effort, and their suitability for this specific need:
A) S3 Express One Zone
- Service: S3 Express One Zone is a storage class designed for low-latency and frequent access to objects, but it is optimized for a single availability zone.
- Time: While it provides lower latency than other storage classes, it does not guarantee access within single-digit milliseconds.
- Cost: It is cost-effective for specific use cases where data replication across multiple availability zones is not necessary.
- Effort: Offers low-latency access to frequently accessed data, but may not meet the strict performance requirement of "single-digit milliseconds."
- Scenario: Best suited for cost-sensitive workloads that don't need multi-availability zone durability.
- Why rejected: While fast for frequent access, it does not guarantee the ultra-low latency required (single-digit milliseconds).
B) S3 Standard
- Service: S3 Standard is designed for general-purpose storage that provides low-latency access to objects.
- Time: S3 Standard offers millisecond access times, but it does not specifically guarantee single-digit millisecond access times in all cases.
- Cost: It is cost-effective for high-throughput and frequently accessed data with relatively low latency.
- Effort: Provides reliable performance for a wide variety of applications, but it is not optimized for the absolute fastest retrieval times.
- Scenario: S3 Standard is suitable for most applications needing frequent access but may not meet the extreme low-latency requirement.
- Why rejected: While it offers low latency, it doesn’t specifically promise single-digit millisecond response times, making it a less ideal choice for this use case.
C) S3 Glacier Flexible Retrieval
- Service: S3 Glacier Flexible Retrieval (formerly Glacier) is designed for long-term archival storage with retrieval times in the range of minutes to hours.
- Time: Glacier is not suited for fast access; retrieval t...
Author: Isabella · Last updated May 15, 2026
A company runs an uninterruptible Amazon EC2 workload on AWS 24 hours a day, 7 days a week. The company will require the same instance family and instance type to run the workload for the next 12 months.Which combi...
To determine the most cost-effective solution for running an uninterruptible Amazon EC2 workload 24/7 for the next 12 months, let’s evaluate the different options based on factors such as cost, flexibility, and the nature of the workload.
A) Standard Reserved Instance
- Service: Standard Reserved Instances (RIs) provide a significant discount (up to 75%) over on-demand pricing in exchange for committing to a specific instance type and region for a 1- or 3-year term.
- Cost: The discount is highly beneficial for consistent, long-term workloads like the one described in the question.
- Flexibility: Once committed, the instance family, instance type, and region cannot be changed, making this option less flexible than some others.
- Effort: The cost optimization is significant, but it requires a fixed configuration for the duration of the term.
- Scenario: Ideal for workloads with predictable, unchanging requirements like the company's 24/7 workload for 12 months.
- Why selected: Since the company has a stable, predictable workload with no changes in instance family and type for 12 months, this is a good choice to optimize cost.
B) Convertible Reserved Instance
- Service: Convertible Reserved Instances offer the same discounts as standard RIs (up to 75%) but allow for more flexibility. You can change the instance family, operating system, and tenancy during the term.
- Cost: The discount is slightly lower compared to standard RIs but provides more flexibility.
- Flexibility: Allows for instance type modifications during the term, which can be useful if the company’s needs evolve in the future.
- Effort: While offering more flexibility, the discount is slightly less than that of Standard RIs. The ability to adjust configurations could be useful if future needs change.
- Scenario: Best suited for companies with somewhat predictable workloads but who anticipate potential changes in instance requirements.
- Why rejected: In this case, since the company has stated it requires the same instance family and type for the next 12 months, the flexibility of Convertible RIs is unnecessary, and the slightly lower discount makes it less cost-effective than Standard RIs.
C) Compute Savings Plan
- Service: Compute Savings Plans offer up to 66% savings on EC2 usage for a 1- or 3-year term, in exchange for committing to a consistent amount of compute usage (measured in $/hour).
- Cost: Compute Savings Plans are generally less restrictive than Reserved Instances and offer significant savings for compute usage in any instance family, region, or OS.
- Flexibility: The flexibility of Compute Savings Plans makes them a great choice for organizations that expect some level of change or variation in their workloads but still want to commit to a predictable level of usage.
- Effort: Compute Savings Plans are ideal if the company may need flexibility in ins...
Author: Ahmed · Last updated May 15, 2026
A company wants to run its application's code without having to provision and manage servers.Which A...
The company's requirement is to run its application's code without having to provision and manage servers. This points towards a service that abstracts away server management and allows the company to focus solely on the application code. Let's analyze the options:
A) AWS Glue
- Focus: AWS Glue is a managed ETL (Extract, Transform, Load) service for preparing and loading data into data lakes, data warehouses, and other analytics services.
- Rejection Reason: While AWS Glue can run code for ETL jobs, it is not designed for general-purpose application code execution. It focuses on data processing rather than running application logic or functions.
B) AWS Lambda
- Focus: AWS Lambda is a serverless compute service that allows you to run application code without provisioning or managing servers. You simply upload your code, and Lambda handles the infrastructure, scaling, and execution of that code.
- Reason for Selection: AWS Lambda perfectly fits the requirement as it enables the execution of code without the need for server management. It abstracts infrastructure concerns, automatically scaling to handle requests, and only charges based on the execution time and resources used, making it cost-effective and efficient. This option is ideal for r...
