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You need to build an image tagging solution for social media that tags images of your friends automatically. Whic...To build an image tagging solution that automatically tags images of your friends on social media, the ideal service would be A) Face from Azure Cognitive Services. Here's why: Reasoning for selecting A) Face: - Face Recognition: This service is specifically designed for detecting and identifying human faces in images. It can be used to recognize friends in photos by matching their faces to a known set of faces (e.g., from a user’s profile or database). - Face Identification: Once faces are detected, you can identify and tag specific people (like your friends) using the service’s face recognition capabilities. - Face Verification: It can also verify if a person in an image is the same as a previously enrolled individual, useful for tagging and ensuring the right person is tagged. This service would allow you to tag your friends automatically based on face recognition from the images, making it the most suitable option for this use case. Why the other options are rejected: - B) Form Recognizer: This service is primarily designed for extracting text, tables, and structure from scanned forms (like invoices, receipts, or documents). It's not a... Author: Elijah · Last updated May 13, 2026 |
HOTSPOT Select the answer that correctly completes the sentence. A historian can use __________ to d...Let’s carefully analyze this question. Question: > A historian wants to digitize newspaper articles. Step 1: Understand the task “Digitize” here means convert printed text into digital text so it can be searched or processed. The content is text on paper/images, not faces or general objects. Step 2: Examine the options A) Facial analysis ❌ Detects and analyzes faces, irrelevant here. B) Image classification ❌ Classifies whole images... Author: Aria · Last updated May 13, 2026 |
HOTSPOT - You have an app that identifies birds in images. The app performs the following tasks: Identifies the location of the birds in the image Identifies the species of the birds in the image Which type of computer vision does each task use? To...Let's carefully analyze your question step by step. Question: We have two tasks: 1. Locate the birds → meaning “find where the birds are in an image.” 2. Identify the species of the birds → meaning “classify the birds into categories/species.” Option analysis of AI technologies: Automated captioning: Generates a descriptive sentence for an image, e.g., “Three birds are sitting on a tree branch.” ✅ Describes the image but does not locate specific objects precisely. Image classification: Classifies an entire image into a category, e.g., “This image contains a sparrow.” ✅ Good for ... Author: Elijah · Last updated May 13, 2026 |
You have a solution that reads manuscripts in different languages and categorizes the manuscripts based on topic. Which types of natura...In the scenario where you have a solution that reads manuscripts in different languages and categorizes them based on topic, the most suitable natural language processing (NLP) workloads would be C) translation and key phrase extraction. Here's the reasoning: Reasoning for selecting C) translation and key phrase extraction: - Translation: Since the manuscripts are in different languages, the solution needs to translate the content into a language for further processing. This helps in normalizing the language and ensuring that the categorization process works on content in a single language (or more manageable set of languages). - Key Phrase Extraction: Once the text is translated, extracting key phrases or keywords helps in identifying the main topics and themes of the manuscript. This is crucial for categorization, as key phrases can be used to determine the topic of the manuscript. These two NLP tasks directly support the solution’s requirement to process multilingual manuscripts and categorize them based on their topics. Why the other options are rejected: - A) Speech recognition and entity recognition: - Speech recognition is primarily used to convert spoken language into text. This is not required in the context of manuscripts that are already written. - Entity recognition involves identifying entities (e.g., names, dates, locations) in text. While entity recognition might be useful in some cases, it is not central to categorizing manuscripts by their topics. Key phrase extraction is mor... Author: Akash · Last updated May 13, 2026 |
HOTSPOT Select the answer that correctly completes the sentence. The interactive answering of questions entered by a user ...Let’s analyze the question carefully. Question: > "The interactive answering of questions entered by a user as part of an application is an example of ________." Step 1: Understand the task Users type questions → application interprets them → provides answers interactively. This involves understanding human language and generating responses. Step 2: Examine the options A) Anomaly detection → identifies unusual patterns in ... Author: Aarav · Last updated May 13, 2026 |
You have 100 instructional videos that do NOT contain any audio. Each instructional video has a script. You need to generate a narration audio file for each...To generate narration audio files for each video based on a script, the most appropriate workload is speech synthesis. Reasoning: - Speech synthesis (Option C) refers to converting written text into spoken words. This is exactly what you need, as you want to take the script (which is text) and generate corresponding audio files that narrate that script. - Key factor: Your requirement involves converting the script (text) into a spoken audio format, which is precisely what speech synthesis is designed for. Why other options are rejected: - Language modeling (Option A) is typically used for understanding and generating coherent language based on a given context, but it does not directly address the task of converting written text into speech. It can be useful in generating text, but not for audio produc... Author: IronLion88 · Last updated May 13, 2026 |
HOTSPOT Select the answer that correctly completes the sentence. Natural language processing can be ...Let’s carefully analyze this question. Question: > Natural language processing can be used to ________. --- Step 1: Understand NLP Natural Language Processing (NLP) is about understanding, interpreting, or generating human language (text or speech). --- Step 2: Examine the options A) Classify email messages as work-related or personal ✅ This is text classification, a common NLP task. Perfect fit. B) Predict the number of future car rental... Author: Alexander · Last updated May 13, 2026 |
Which AI service can you use to extract intent from a user input such as 'Call me back later'?To extract intent from a user input like "Call me back later," the most appropriate AI service would be Language (Option C). Reasoning: - Language (Option C): This service is designed to process and understand natural language, extracting key information such as intent, sentiment, and entities. It uses natural language processing (NLP) techniques to identify what the user is trying to communicate. In this case, "Call me back later" implies an intent related to scheduling a callback, which the language processing model can recognize and categorize appropriately. Why other options are rejected: - Azure Cognitive Search (Option A): This service is used for indexing and searching through large amounts of content. It is not specifically built for extracting intent from user input, but for searching and retrieving relevant documents or data. It is not designed for interpreting the meaning or intent behind a se... Author: Zara · Last updated May 13, 2026 |
You are building a Language Understanding model for an e-commerce business. You need to ensure that the model detects when utterances are o...To ensure that the model detects when utterances are outside the intended scope of the model, the correct approach would be Add utterances to the None intent (Option B). Reasoning: - Add utterances to the None intent (Option B): The None intent is specifically designed to capture utterances that do not fall under any of the predefined or expected intents of the model. When a user provides an input that is outside the model's scope (for example, irrelevant requests or statements), this intent will be triggered. This allows you to handle out-of-scope inputs appropriately, such as by redirecting the user to a fallback action or asking for clarification. By training the model to recognize such out-of-scope utterances and assigning them to the None intent, you can effectively detect when something falls outside the intended scope of your e-commerce application. Why other options are rejected: - Export the model (Option A): Exporting the model is not relevant to the detection of out-of-scope utterances. Exporting is typically used when you need to move the model for deployment or backup purposes. It does not address the need for handling unexpected user inputs during operation. - Create a p... Author: Aarav · Last updated May 13, 2026 |
HOTSPOT Select the answer that correctly completes the sentence. __________can be used to build no-code apps tha...Let’s carefully break this down. Question: > ________ can be used to build no-code apps that use built-in natural language processing models. --- Step 1: Understand the task Key phrases: no-code, built-in NLP models. We are looking for a tool that lets non-developers create chatbots or apps without writing code, using prebuilt AI/NLP. --- Step 2: Examine the options A) Azure Health Bot ❌ Specialized bot for healthcare scenarios. Not general-purpose, and requires some setup/configuration. ... Author: Sophia Clark · Last updated May 13, 2026 |
HOTSPOT For each of the following statement, select Yes if the statement is true. Otherwise, select No. A smart device in the home that responds to questions such as "When is my next appointment?" is an example of conversational Al?. An interactive webchat feature on a company website can be implemented by using Azure Bot Service?...Let's go carefully, step by step: --- 1️⃣ Smart home device responding to questions ("When is my next appointment?") This is a virtual assistant that interacts in natural language. ✅ ✅ Yes 2️⃣ Interactive webchat on a company website with Azure Bot Serv... Author: Isabella · Last updated May 13, 2026 |
What is an example of the Microsoft responsible AI principle of transparency?An example of the Microsoft responsible AI principle of transparency is helping users understand the decisions made by an AI system (Option B). Reasoning: - Transparency (Option B): Transparency is about making AI systems understandable and explainable to users. This includes helping users understand why the AI made certain decisions, the factors influencing those decisions, and the processes behind them. This is directly in line with the principle of transparency, as it emphasizes providing users with clear, accessible explanations of AI behavior, ensuring trust and accountability. Why other options are rejected: - Ensuring that opportunities are allocated equally to all applicants (Option A): While this speaks to fairness and equality, it is not directly related to the transparency principle. This option focuses more on equitable treatment rather than providing clarity about AI decisions, which is the core of transparency. - Ensuring that developers are accountable for the solutions they create (Option C): Accountability is an important aspect of responsible AI, but it is distinct from transparency. Accountability is abou... Author: Noah Williams · Last updated May 13, 2026 |
You need to provide customers with the ability to query the status of orders by using phones, social media,...To provide customers with the ability to query the status of orders through phones, social media, or digital assistants, the most appropriate solution is Azure Bot Service (Option D). Reasoning: - Azure Bot Service (Option D): This service is specifically designed to create conversational agents (bots) that can interact with users across various platforms, including phones, social media, and digital assistants (e.g., voice assistants). It supports natural language processing and integrates easily with channels like Facebook Messenger, Microsoft Teams, or voice services, allowing customers to query the status of their orders interactively. Azure Bot Service enables the creation of intelligent, scalable bots that handle a wide range of queries, including those related to orders, making it the most suitable option. Why other options are rejected: - Azure Machine Learning model (Option A): Azure Machine Learning is primarily designed for creating, training, and deploying machine learning models. While it can be used for data-driven tasks such as predictions or classification, it is not a tool for creating conversational interfaces or handling user queries across different platforms. It’s not specifically built for the kind of customer interaction (querying order status) described here. - Translator service... Author: MysticJaguar44 · Last updated May 13, 2026 |
You plan to build a conversational AI solution that can be surfaced in Microsoft Teams, Microsoft Cortana, an...To build a conversational AI solution that can be surfaced in Microsoft Teams, Microsoft Cortana, and Amazon Alexa, the most appropriate service is Azure Bot Service (Option A). Reasoning: - Azure Bot Service (Option A): Azure Bot Service is specifically designed to create conversational agents (bots) that can interact with users across multiple platforms, including Microsoft Teams, Microsoft Cortana, and Amazon Alexa. It provides a unified environment for developing, deploying, and managing bots that can be integrated with a variety of messaging platforms and voice assistants. The service includes built-in support for handling text and voice-based interactions, making it a comprehensive solution for building cross-platform conversational AI. Why other options are rejected: - Azure Cognitive Search (Option B): Azure Cognitive Search is a service for indexing and searching large amounts of content. It is not designed for building conversational AI or integrating with messaging platforms and voice assistants. Its main use case is to help users find relevant information in large datasets, not to create interactive bots. - Speech (Option C): The Speech service in Azure is designed for speech recognition, speech synthesis (text-to-speech), and translation of spoken language. While it is a powerful tool for voice interaction, it doesn't provide the full framework needed to crea... Author: Kai99 · Last updated May 13, 2026 |
HOTSPOT For each of the following statements, select Yes if the statement is true. Otherwise, select No. An interactive webchat feature on a company website can be implemented by using Azure Bot Service?. Automatically generating captions for pre-recorded videos is an example of conversational Al? A smart device in the home that re...Let’s carefully analyze each statement for the AI-900 exam context: --- 1️⃣ "An interactive webchat feature on a company website can be implemented by using Azure Bot Service?" True. Azure Bot Service is specifically designed to create bots for websites, Teams, and other channels. ✅ --- 2️⃣ "Automatically generating captions for pre-recorded videos is an example of conversational AI?" False. Generating captions is an example of speech-to-tex... Author: Siddharth · Last updated May 13, 2026 |
Which Azure Cognitive Services service can be used to identify documents that contain sensitive info...To identify documents that contain sensitive information, Form Recognizer would be the most appropriate service from the provided options. Reasoning for selecting Form Recognizer: - Form Recognizer is specifically designed to extract data from structured or semi-structured documents, such as invoices, receipts, and forms. It is highly useful for scenarios where sensitive information like personal details, financial data, or PII (Personally Identifiable Information) needs to be extracted and assessed. - It has built-in capabilities for detecting text, tables, and form fields, and can be customized with model training to recognize certain types of sensitive content. Additionally, its ability to analyze and categorize information in forms makes it ideal for identifying sensitive content in documents. - If the goal is to recognize specific data points (e.g., addresses, phone numbers, or credit card information) within documents, Form Recognizer is the most efficient and accurate option. Reasons for rejecting the other options: 1. Custom Vision: - Custom Vision is primarily used for image classification tasks. It excels in scenarios where objects or features in images need to be identified o... Author: Zara · Last updated May 13, 2026 |
HOTSPOT Select the answer that correctly completes the sentence. Detecting unusual temperature fluctuations ...Let’s go through this carefully. --- Step 1: Understand the scenario > Detecting unusual temperature fluctuations for a large machine Key points: We are monitoring sensor data (temperature readings). The goal is to spot unusual patterns or deviations from normal behavior. --- Step 2: Examine the options A) Computer vision workload – This is for analyzing images or video. Not relevant here. B) Knowledge mining workload – This is for extracting insights f... Author: Suresh · Last updated May 13, 2026 |
A smart device that responds to the question 'What is the stock price of Contoso. Ltd.?' is an examp...The smart device that responds to the question "What is the stock price of Contoso. Ltd.?" is an example of Natural Language Processing (NLP). Reasoning for selecting Natural Language Processing: - Natural Language Processing (NLP) involves understanding and processing human language in a form that computers can comprehend. In this case, the smart device is interpreting a user query in natural language ("What is the stock price of Contoso. Ltd.?") and providing a relevant response. - NLP is used for tasks such as language understanding, text-based interactions, speech-to-text conversion, and responding to queries in a conversational way. This matches exactly with the scenario where a device is answering a specific natural language question about stock prices. - The process involves understanding the context of the question, retrieving relevant data (like stock prices), and delivering an appropriate response to the user. Hence, this task falls under Natural Language Processing. Reasons for rejecting the other options: 1. Knowledge Mining: - Knowledge mining refers to extracting valuable insights from large sets of unstructured or semi-structured data, often from diverse sources like documents, databases, or web content. While knowledge mining can be used to gather information, it's more focused on the extraction of insights, not directly on handling user queries in a conversational manner. - Use case for Knowledge Min... Author: Aarav · Last updated May 13, 2026 |
DRAG DROP Match the machine learning models to the appropriate descriptions. A supervised machine learning model used to predict numeric values?. A supervised machine learning model used to predict categories?. An unsupervised machine learning model used to group similar entities based on features?. To answer, drag the appropriate model from the colum...Let’s carefully go step by step. Question: 1. A supervised machine learning model used to predict numeric values → numeric prediction = Regression ✅ 2. A supervised machine learning model used to predict categories → category prediction = Classification ✅ 3. An unsupervised machine learning model used to group similar entities based on features → grouping without labels = Clustering ✅ --- Ste... Author: Maya · Last updated May 13, 2026 |
You are building a tool that will process images from retail stores and identify the products of competitors. The solution must be trained on images p...To build a tool that processes images from retail stores and identifies competitor products, the most suitable Azure AI service is Custom Vision. Reasoning for selecting Custom Vision: - Custom Vision is specifically designed for image classification and object detection tasks. It allows you to train a custom model using labeled images provided by your company. This is ideal when you have specific needs, such as identifying particular products (competitors' products in this case) in retail images. - Custom Vision enables you to upload your own dataset (images of products), label them accordingly, and then train the model to recognize and classify the specific products you’re interested in. This highly customizable service is designed for exactly this kind of scenario, where you need to identify unique objects in images that are specific to your business needs. - Use case for Custom Vision: Ideal for recognizing specific objects like products, brands, and logos within images. It is perfect for training models with your company’s own labeled images, such as retail images of products from competitors. Reasons for rejecting the other options: 1. Form Recognizer: - Form Recognizer is designed for extracting data from forms, invoices, receipts, and other structured documents. It focuses on text extraction from documents, and is not suitable for identifying objects or products in retail images. - Use case... Author: Zara · Last updated May 13, 2026 |
HOTSPOT Select the answer that correctly completes the sentence. Predicting how many hours of overtime a delivery person will work based ...Let’s analyze this carefully: The scenario: > Predicting how many hours of overtime a delivery person will work based on the number of orders received. --- Step 1: Identify the type of output The output is hours of overtime, which is a numeric (continuous) value, not categories. --- Step 2: Match to the ML type A) Classi... Author: Kai · Last updated May 13, 2026 |
Predicting agricultural yields based on weather conditions and soil quality measurements is an examp...Predicting agricultural yields based on weather conditions and soil quality measurements is an example of a regression machine learning model. Reasoning for selecting Regression: - Regression is used when the goal is to predict a continuous numerical value based on input features. In this case, the agricultural yield is a continuous variable (e.g., tons of crops per hectare), and the model predicts this value based on other continuous or numerical input features like weather conditions (temperature, rainfall) and soil quality measurements (pH level, nutrient content). - Regression models are specifically designed to predict values that can vary along a continuous scale, making them the most appropriate choice for predicting agricultural yields. Reasons for rejecting the other options: 1. Classification: - Classification is used when the goal is to categorize data into discrete classes or labels (e.g., "high yield" vs. "low yield"). While predicting agricultural yields involves forecasting a quantity, classification would be more suited for problems where the outcome is a discrete cat... Author: Ahmed97 · Last updated May 13, 2026 |
You need to identify street names based on street signs in photographs. Which type of computer vi...To identify street names based on street signs in photographs, the most suitable option is Optical Character Recognition (OCR). Reasoning for selecting Optical Character Recognition (OCR): - OCR (Optical Character Recognition) is specifically designed to recognize and extract text from images. Since street signs typically contain text (such as street names), OCR is the ideal technology for identifying and extracting this textual information from the photographs of street signs. - OCR processes images and converts printed or handwritten text into machine-readable text, making it highly suitable for reading the street names displayed on signs in photos. Reasons for rejecting the other options: 1. Object Detection: - Object detection involves identifying and locating objects in images (e.g., detecting the presence of cars, traffic lights, or people). While object detection can help find the street signs in the image, it does not extract the textual information (street names) from the signs. - Use case for Object Detection: Best for identifying objects in an image and locating their positions, such as finding specific objects like a car or traffic sign, but not extractin... Author: Amelia · Last updated May 13, 2026 |
DRAG DROP Match the types of computer vision workloads to the appropriate scenarios. Generate captions for images?. Extract movie title names from movie poster images?. Locate vehicles in images?. To answer, drag the appropriate workload type from the column on the left to its scenario on th...Let’s carefully map each task to the correct workload type for AI-900: --- 1️⃣ Generate captions for images This involves understanding what is in the image and describing it. This aligns with Image classification / image captioning ✅ 2️⃣ Extract movie title names from mov... Author: Madison · Last updated May 13, 2026 |
You have a bot that identifies the brand names of products in images of supermarket shelves. Whic...The bot that identifies the brand names of products in images of supermarket shelves should use Custom Vision Image Classification capabilities. Reasoning for selecting Custom Vision Image Classification capabilities: - Custom Vision is specifically designed for image classification tasks. It allows you to train a custom model to recognize and classify objects in images based on your own labeled data. Since the bot is identifying brand names of products in images, the task involves recognizing specific visual patterns associated with product packaging and labels, which makes Custom Vision the best fit. - Custom Vision enables you to upload a dataset of labeled images (e.g., images of supermarket shelves) and then train a model to recognize various brands in these images. It is highly customizable and capable of recognizing different brands based on visual features such as logos, product designs, and packaging. Reasons for rejecting the other options: 1. AI enrichment for Azure Search capabilities: - AI enrichment for Azure Search helps in enhancing search experiences by adding cognitive skills to indexes, such as extracting text from images, identifying key phrases, and detecting entities. While AI enrichment can help extract text from images, it is not specifically tailored for training a model to recognize visual patterns like brand logos or packaging, which is needed in this scenario. - Use case for AI enrichment: Best for enhancing search indexes with text-based cognitive skills, such as extracting data from documents or ima... Author: Zara · Last updated May 13, 2026 |
You are developing a chatbot solution in Azure. Which service should you use to determine a user's ...When developing a chatbot solution in Azure to determine a user's intent, the most appropriate service is Azure Language. Let’s go through the options one by one: A) Translator - Purpose: Translator service in Azure is used primarily to translate text between languages. - Reason for rejection: While translation is important for chatbots that may need to support multiple languages, it does not address determining a user's intent. Intent detection is about understanding what the user is trying to achieve (e.g., booking an appointment, requesting information), not translating words or phrases between languages. B) Language (Azure Cognitive Services) - Purpose: The Language service, including Language Understanding (LUIS), is designed specifically for understanding and extracting intent and entities from user input. LUIS helps to recognize the intent behind user queries and can identify specific entities within those queries. - Reason for selection: This is the core service for intent detection. It allows the chatbot to understand the meaning behind the user’s words and respond accordingly. It supports natural language understanding, which is critical in building conversational agents that can handle diverse queries. - Scenario: If you want to build a chatbot that understands user commands like “Book a flight to New York” or “What’s the weather tomorrow?” and acts ... Author: Arjun · Last updated May 13, 2026 |
Your company has a single on-premises datacenter in Washington DC. The East US Azure region has a peering location in Washington DC. The company only has Azure resources in the East US region. You need to implement ExpressRoute to support up to 1 Gbps. You must use only Expr...To determine the most cost-effective and appropriate ExpressRoute circuit type for your scenario, let’s analyze the key details: --- Key Requirements and Constraints: - Datacenter Location: On-premises in Washington DC. - Azure Region Used: East US, which also has a peering location in Washington DC. - Bandwidth Required: Up to 1 Gbps. - Data Plan: ExpressRoute Unlimited. - Goal: Minimize costs. --- Option Analysis: A) ExpressRoute Local - Purpose: Connects to a local Azure region through the same metro peering location. - Data Transfer: Free, as all inbound and outbound data is included in the monthly port fee. - Cost: Lowest among all options when traffic remains in the same region. - Limitation: Only allows connectivity to the local region where the circuit is provisioned. - Scenario Fit: ✅ Perfect match — your datacenter and Azure region (East US) are both in Washington DC, sharing the same peering location. B) ExpressRoute Direct - Purpose: Provides dual 100 Gbps or 10 Gbps ports directly into Microsoft’s network. - Cost: Very high, designed for customers with massive bandwidth needs or carrier-... Author: Ethan · Last updated May 19, 2026 |
You are planning an Azure Point-to-Site (P2S) VPN that will use OpenVPN. Users will authenticate by an on-premises Active Directory domain. Which addit...To determine the correct additional service needed for Point-to-Site (P2S) VPN with OpenVPN and on-premises Active Directory (AD) authentication, let's analyze each option in the context of your requirements. --- Key Requirements and Scenario: - VPN Type: Azure Point-to-Site (P2S). - Tunnel Protocol: OpenVPN. - Authentication Source: On-premises Active Directory domain (not Azure AD). - Goal: Enable secure VPN access with proper authentication. --- Option Analysis: A) Azure Key Vault - Purpose: Secure storage of secrets, certificates, and encryption keys. - Use Case: Managing sensitive information, not handling user authentication. - Scenario Fit: ❌ Not related to user identity or VPN authentication. - Rejection Reason: Doesn’t facilitate integration with AD or VPN auth systems. B) RADIUS Server - Purpose: Acts as an intermediary authentication server that can integrate with on-premises AD. - Use Case: Enables P2S VPNs to authenticate against an on-prem AD using standard protocols. - Scenario Fit: ✅ Perfect — required when Azure VPN authentication is based on on-prem AD credentials. - Key Factor: Azure P2S with OpenVPN supports RADIUS... Author: Leah · Last updated May 19, 2026 |
You plan to configure BGP for a Site-to-Site VPN connection between a datacenter and Azure. Which two Azure resources should you configure? Each correct answer presents a part of...To configure BGP (Border Gateway Protocol) for a Site-to-Site VPN connection between a datacenter and Azure, you need components that enable network routing and connectivity on both sides. Let's analyze each option and determine its relevance to this setup. --- ✅ A) Virtual Network Gateway - Purpose: This is a key Azure resource used to send network traffic between an Azure virtual network and another network (on-premises or another VNet). It supports VPN and ExpressRoute connections. - BGP Role: It supports BGP for dynamic routing, which allows Azure and the on-premises datacenter to exchange routes. - Conclusion: Required for setting up the Azure side of the VPN tunnel and BGP configuration. --- ❌ B) Azure Application Gateway - Purpose: This is a Layer 7 (HTTP/HTTPS) load balancer used to manage web traffic to applications. - BGP Role: Does not support or participate in BGP routing or VPN connectivity. - Conclusion: Not relevant to Site-to-Site VPN or BGP configuration. --- ❌ C) ... Author: Jack · Last updated May 19, 2026 |
You have an Azure virtual network and an on-premises datacenter. You are planning a Site-to-Site VPN connection between the datacenter and the virtual network. Which two resources should you include in your plan? Each ...To plan a Site-to-Site (S2S) VPN connection between an on-premises datacenter and an Azure virtual network, it's essential to identify the core components needed to establish and maintain that tunnel. --- Key Requirements for Site-to-Site VPN: - A VPN gateway on the Azure side. - Representation of the on-premises network on Azure (via a local network gateway). - Secure, encrypted tunnel between both environments. - Integration with virtual networks for routing. --- Option Analysis: A) User-Defined Route (UDR) - Purpose: Allows you to customize routing tables within a virtual network. - Use Case: Useful when controlling traffic flow, e.g., sending traffic through a firewall. - Scenario Fit: ⚠️ Optional — not required to establish the VPN itself. - Rejection Reason: Might be used after VPN is established for route control, but not a core requirement for S2S VPN setup. B) Virtual Network Gateway - Purpose: The Azure resource that provides VPN (or ExpressRoute) functionality. - Use Case: Required to terminate the VPN tunnel on the Azure side. - Scenario Fit: ✅ Essential for any S2S VPN in Azure. - Key Factor: Without this, Azure can’t participate in the VPN tunnel. C) Azure Firewall - Purpose: A network-level security control to filter traffic. - Use Case: Optional — used to protect and inspect traffic, not required for VPN setup. - Scenario Fit: ❌ Not a necessary component for establishing a VPN tunnel. - Rejection Reason: Security add-on, not a VPN requirement. D) Azure Web Application Firewall (WAF) - Purpose: Protects web applications from attacks like SQL injection, XSS. - Use Case: Works with Application Gateway, only for HTTP/HTTPS traffic. - Scena... Author: Mia · Last updated May 19, 2026 |
HOTSPOT - You need to connect an on-premises network and an Azure environment. The solution must use ExpressRoute and support failing over to a Site-to-Site VPN connection if there is an ExpressRoute failure. What should you configure? To answer, se...Author: Zara · Last updated May 19, 2026 |
Your company has an on-premises network and three Azure subscriptions named Subscription1, Subscription2, and Subscription3. The departments at the company use the Azure subscriptions as shown in the following table. All the resources in the subscriptions are in either the West US Azure region or the West US 2 Azure region. You plan...Author: Sofia · Last updated May 19, 2026 |
Your company has offices in New York and Amsterdam. The company has an Azure subscription. Both offices connect to Azure by using a Site-to-Site VPN connection. The office in Amsterdam uses resources in the North Europe Azure region. The office in New York uses resources in the East US Azure region. You need to implement ExpressRoute circuits to connect each office to the nearest Azure region. Once the ExpressRoute circuits are connected, the on-...To enable cross-office connectivity between Amsterdam and New York via ExpressRoute, we need to choose an option that not only connects each office to its nearest Azure region, but also allows the on-premises networks to communicate with each other through those ExpressRoute circuits. --- Scenario Summary: - Two offices: New York and Amsterdam. - Each connects to Azure via its nearest region: - New York → East US - Amsterdam → North Europe - Requirement: After ExpressRoute circuits are established, on-prem systems in Amsterdam must communicate with on-prem systems in New York via ExpressRoute — i.e., cross-premises over Azure’s backbone. --- Option Analysis: A) ExpressRoute FastPath - Purpose: Optimizes performance by bypassing the virtual network gateway for data path traffic. - Use Case: Improves performance between on-prem and Azure, especially for large data transfers or low-latency needs. - Scenario Fit: ❌ Not relevant here — FastPath is about performance optimization, not enabling cross-premises communication. - Rejection Reason: Does not support or enable on-prem to on-prem routing. B) ExpressRoute Global Reach - Purpose: Allows you to connect on-premises networks via Azure’s private backbone when both are connected to separate ExpressRoute circuits. - Use Case: Exactly what’s needed when you have two offices in different locations, each with their... Author: Leah · Last updated May 19, 2026 |
HOTSPOT - You have the hybrid network shown in the Network Diagram exhibit. You have a peering connection between Vnet1 and Vnet2 as shown in the Peering-Vnet1-Vnet2 exhibit. You have a peering connection between Vnet1 and Vnet3 as shown in the Peering-Vnet1-Vnet3 exhibit. For each of the followin...Author: John · Last updated May 19, 2026 |
HOTSPOT - You have the Azure environment shown in the exhibit. You have virtual network peering between Vnet1 and Vnet2. You have virtual network peering between Vnet4 and Vnet5. The virtual network peering is configured as shown in the following table....Author: Grace · Last updated May 19, 2026 |
HOTSPOT - You have on-premises datacenters in New York and Seattle. You have an Azure subscription that contains the ExpressRoute circuits shown in the following table. You need to ensure that all the data sent between the datacenters is routed via the ExpressRoute circuits. The solution must minimize costs. How should you co...Author: Ella · Last updated May 19, 2026 |
HOTSPOT - Your on-premises network contains a VPN device. You have an Azure subscription that contains a virtual network and a virtual network gateway. You need to create a Site-to-Site VPN connection that has a custom cryptographic policy. How should you complete the PowerSh...Author: Liam · Last updated May 19, 2026 |
HOTSPOT - You have an Azure virtual network and an on-premises datacenter that connect by using a Site-to-Site VPN tunnel. You need to ensure that all traffic from the virtual network to the internet is routed through the datacenter. How should you complete the PowerShell script to configure ...Author: Manish · Last updated May 19, 2026 |
You are planning an Azure deployment that will contain three virtual networks in the East US Azure region as shown in the following table. A Site-to-Site VPN will connect Vnet1 to your company's on-premises network. You need to recommend a solution that ensures that the virtual machines on all the virtual n...Author: Daniel · Last updated May 19, 2026 |
Your company has an office in New York. The company has an Azure subscription that contains the virtual networks shown in the following table. You need to connect the virtual networks to the office by using ExpressRoute. The solution must meet the following requirements: * The connection must have up to 1 Gbps of bandwidth. * The office must have access...Author: Aria · Last updated May 19, 2026 |
You have an Azure subscription that contains a virtual network. You plan to deploy an Azure VPN gateway and 90 Site-to-Site VPN connections. The solution must meet the following requirements: * Ensure that the Site-to-Site VPN connections ...To select the most cost-effective VPN gateway SKU for 90 Site-to-Site VPN connections while ensuring high availability (resilience against Azure datacenter failure), we need to analyze the features and capabilities of each SKU in terms of: --- Key Requirements: 1. Support for 90 Site-to-Site VPN connections 2. Zone-redundancy to ensure availability during an Azure datacenter failure 3. Minimize cost --- Understanding the Options: The `VpnGwAZ` SKUs are zone-redundant VPN gateways, meaning they provide high availability across Azure Availability Zones, which satisfies the datacenter failure requirement. Let’s compare each SKU in terms of: - Max S2S tunnels supported - Zone-redundancy support - Cost | SKU | Max S2S Tunnels | Zone-Redundant (AZ) | Relative Cost | |-------------|------------------|----------------------|----------------| | VpnGw1AZ | 30 | ✅ Yes | 💲 Lowest | | VpnGw2AZ | 50 | ✅ Yes | 💲💲 | | VpnGw4AZ | 100 ... Author: Sofia · Last updated May 19, 2026 |
You have an Azure subscription that contains the resources shown in the following table. You create a virtual network named Vnet2 in the West US region. You plan to enable peering between Vnet1 and Vnet2. You need to ensure ...Author: Emma · Last updated May 19, 2026 |
DRAG DROP - Your on-premises network contains an Active Directory Domain Services (AD DS) domain named contoso.com that has an internal certification authority (CA). You have an Azure subscription. You deploy an Azure application gateway named AppGwy1 and perform the following actions: * Configure an HTTP listener * Associate a routing rule with the listener You need to configure AppGwy1 to perform mutual authentication for requests from domain-joined...Author: Henry · Last updated May 19, 2026 |
SIMULATION - Username and password - Use the following login credentials as needed: To enter your username, place your cursor in the Sign in box and click on the username below. To enter your password, place your cursor in the Enter password box and click on the password below. Azure Username: [email protected] Azure Password: xxxxxxxxxx - If the Azure portal does not load successfully in the browser, press CTRL-K to reload the portal in a new browser tab. The following information is for technical support purposes only: Lab Instance: 12345678 - You are preparing to connect your on-premises network to VNET4 by using a Site-to-Site VPN. The on-premises endpoint of the VPN will be created on a firewall named Firewall1. The on-premises network has the following configuration: * internal address range: 10.10....Author: StarryEagle42 · Last updated May 19, 2026 |
HOTSPOT - You have an Azure subscription that contains a virtual network gateway named VNetGwy1. VNetGwy1 has a public IP address of 20.25.32.214. You need to query the health probe of VNetGwy1. How should you complete the URI? To answ...Author: Lucas · Last updated May 19, 2026 |
HOTSPOT - You have an on-premises datacenter. You have an Azure subscription that contains 10 virtual machines and a virtual network named VNet1 in the East US Azure region. The virtual machines are connected to VNet1 and replicate across three availability zones. You need to connect the datacenter to VNet1 by using ExpressRoute. The solution must meet the following requirements: * Maintain connectivity to the virtual machines if two availability zones fail. * S...Author: Sofia · Last updated May 19, 2026 |
Case Study - This is a case study. Case studies are not timed separately. You can use as much exam time as you would like to complete each case. However, there may be additional case studies and sections on this exam. You must manage your time to ensure that you are able to complete all questions included on this exam in the time provided. To answer the questions included in a case study, you will need to reference information that is provided in the case study. Case studies might contain exhibits and other resources that provide more information about the scenario that is described in the case study. Each question is independent of the other questions in this case study. At the end of this case study, a review screen will appear. This screen allows you to review your answers and to make changes before you move to the next section of the exam. After you begin a new section, you cannot return to this section. To start the case study - To display the first question in this case study, click the Next button. Use the buttons in the left pane to explore the content of the case study before you answer the questions. Clicking these buttons displays information such as business requirements, existing environment, and problem statements. When you are ready to answer a question, click the Question button to return to the question. Overview - Litware, Inc. is a fina...Author: Elijah · Last updated May 19, 2026 |
HOTSPOT - You have an Azure subscription. You plan to use Azure Virtual WAN. You need to deploy a virtual WAN hub that meets the following requirements: * Supports 4 Gbps of Site-to-Site (S2S) VPN traffic * Supports 8 Gbps of ExpressRoute traffic * Minimizes costs How many scale units sho...Author: Joseph · Last updated May 19, 2026 |
DRAG DROP - You have an on-premises network. You have an Azure subscription that contains a virtual network named VNet1. VNet1 contains an ExpressRoute gateway. You need to connect VNet1 to the on-premises network by using an ExpressRoute circuit. Which four actions should you perform in s...Author: IceDragon2023 · Last updated May 19, 2026 |
You have three on-premises networks. You have an Azure subscription that contains a Basic Azure virtual WAN. The virtual WAN contains a single virtual hub and a virtual network gateway that is limited to a throughput of 1 Gbps. The on-premises networks connect to the virtual WAN by using Site-to-Site (S2S) VPN connections....To increase throughput from 1 Gbps to 3 Gbps in an Azure Virtual WAN setup, we need to understand the limitations of the Basic SKU, how Azure scales VPN throughput, and what options impact performance with minimal administrative effort. --- ❌ A) Upgrade the virtual WAN to the Standard SKU - Key Fact: While the Standard SKU supports more advanced features like ExpressRoute, inter-hub routing, and point-to-site VPN, it does NOT by itself increase VPN throughput. - Scenario Use: Use this when you need additional features or more flexibility in routing, not performance scaling alone. - Conclusion: Not sufficient for increasing throughput alone. --- ❌ B) Add an additional VPN gateway to the Azure subscription - Key Fact: In a Virtual WAN architecture, you do not manage individual VPN gateways directly within virtual hubs. The gateways are managed by Azure within the hub. - Scenario Use: This might make sense in classic hub-and-spoke topology, but not with Azure Virtual WAN, which abstracts g... Author: Ming · Last updated May 19, 2026 |