MicrosoftProfessional levelAI-102

AI-102 exam dumps: 492 free Azure AI Engineer practice questions

Free AI-102 practice questions for the Designing and Implementing a Microsoft Azure AI Solution exam, with the correct answer and a full explanation for every option. Read the first 10 below, browse all 492 by number, or take a timed practice exam.

Question bank last updated May 2025

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Free AI-102 practice questions

Questions 1 to 10 of 492

Pick an answer before you open the explanation. Each question also has its own page with a permalink.

AI-102 Question 1

Single answer

A retail company wants to implement a solution to automatically analyze images of their products to extract detailed information such as product categories, colors, and text from labels. They also want to detect and analyze objects in these images for inventory tracking. Which Azure service should they use?

  1. A

    Azure Computer Vision

  2. B

    Azure Cognitive Search

  3. C

    Azure Form Recognizer

  4. D

    Azure Custom Vision

Show answer and explanation

Correct answer: A

Explanation

Azure Computer Vision provides pre-built capabilities for image analysis, including extracting text, detecting objects, and analyzing image content, which aligns perfectly with the requirements of the retail company. Other services like Azure Cognitive Search and Azure Form Recognizer do not offer these functionalities, while Azure Custom Vision requires custom training, making it less efficient for this generalized use case.

  • A. Correct.

    Azure Computer Vision is designed for general-purpose image analysis, including extracting text (OCR), detecting objects, and analyzing image content such as categories and color schemes. This makes it the most suitable service for the scenario described.

  • B. Incorrect.

    Azure Cognitive Search is primarily used to index and search over structured and unstructured data, not for image analysis. It would not fulfill the requirements of extracting categories, text, or objects from images.

  • C. Incorrect.

    Azure Form Recognizer is specialized for extracting structured data from forms and documents, such as invoices or receipts. It is not designed for general image analysis, which is required in this scenario.

  • D. Incorrect.

    Azure Custom Vision is used for training custom machine learning models for specific image classification or object detection tasks. While it could potentially be used, it requires custom model training and is not as suitable for general-purpose image analysis as Azure Computer Vision.

AI-102 Question 2

Single answer

A retail company wants to implement a solution to analyze customer behavior in their physical stores by processing live video feeds. The solution should detect customer movements, identify specific objects like shopping carts, and provide real-time insights. Which Azure service should you use?

  1. A

    Azure Cognitive Services Computer Vision

  2. B

    Azure Video Indexer

  3. C

    Azure Custom Vision

  4. D

    Azure Cognitive Services Face API

Show answer and explanation

Correct answer: B

Explanation

The Azure Video Indexer service is the most appropriate choice for analyzing live video feeds in real-time. It provides advanced capabilities such as object detection, motion tracking, scene analysis, and more, which align perfectly with the requirements of detecting customer movements, identifying objects like shopping carts, and providing actionable insights.

  • A. Incorrect.

    Azure Cognitive Services Computer Vision is primarily used for image analysis tasks such as extracting text from images or identifying image content, but it does not process live video feeds for real-time insights.

  • B. Correct.

    Azure Video Indexer is designed to analyze and extract insights from video content, including real-time video feeds. It supports object detection, motion tracking, and scene analysis, making it the best choice for this scenario.

  • C. Incorrect.

    Azure Custom Vision is primarily used for training custom image classifiers or object detection models but is not specifically tailored for live video analysis.

  • D. Incorrect.

    Azure Cognitive Services Face API specializes in detecting and analyzing human faces in images or video but does not support broader object detection or motion tracking in live video feeds.

AI-102 Question 3

Single answer

A retail company wants to implement a computer vision solution to automatically analyze images of their products and identify specific attributes, such as color, size, and brand logos. They also require the ability to detect objects in real-time from video streams at scale. Which Azure service should they use?

  1. A

    Azure Custom Vision

  2. B

    Azure Cognitive Services Computer Vision

  3. C

    Azure Video Indexer

  4. D

    Azure Form Recognizer

Show answer and explanation

Correct answer: A

Explanation

Azure Custom Vision is the appropriate service for this scenario because it enables the creation of a custom image classification or object detection model tailored to specific business needs, such as identifying product attributes. This service supports training models with labeled data and can also handle real-time object detection when integrated into applications.

  • A. Correct.

    Azure Custom Vision is the best choice for building a model tailored to specific attributes such as color, size, and brand logos. It allows customization of object detection and classification based on the company's unique dataset.

  • B. Incorrect.

    Azure Cognitive Services Computer Vision provides general-purpose image analysis, such as describing images and extracting text, but it does not allow customizable object detection.

  • C. Incorrect.

    Azure Video Indexer is focused on analyzing video content for insights such as speech-to-text, facial recognition, and scene detection, but it is not designed for real-time object detection in images or videos.

  • D. Incorrect.

    Azure Form Recognizer is designed for extracting structured data from forms and invoices but is not suitable for analyzing product attributes or detecting objects in images or videos.

AI-102 Question 4

Select 2

A retail company wants to implement a solution that automatically identifies and categorizes products in images uploaded by users. The solution should also extract text from product labels when available. Which Azure service(s) should the company use?

  1. A

    Azure Computer Vision

  2. B

    Azure Custom Vision

  3. C

    Azure Form Recognizer

  4. D

    Azure Face API

  5. E

    Azure Cognitive Search

Show answer and explanation

Correct answers: A, B

Explanation

To implement a solution that identifies and categorizes products in images while extracting text from product labels, the company should use Azure Computer Vision for its object detection and OCR capabilities. Additionally, if the company requires more tailored categorization for their product dataset, Azure Custom Vision can be used to create a custom model. Other services like Azure Form Recognizer, Azure Face API, and Azure Cognitive Search are not designed for this specific use case.

  • A. Correct.

    Azure Computer Vision is appropriate for general image analysis, including object detection and text extraction. It can identify and categorize objects in the uploaded images and extract text from product labels.

  • B. Correct.

    Azure Custom Vision is suitable if the company wants to build a custom model to classify products based on their specific dataset. This is ideal for fine-tuned categorization of products that may not fit into general categories.

  • C. Incorrect.

    Azure Form Recognizer specializes in extracting structured data from forms and documents, not images of products or general text on labels. It is not suitable for this scenario.

  • D. Incorrect.

    Azure Face API is designed for facial recognition and analysis. It is not relevant for identifying products or extracting text from labels.

  • E. Incorrect.

    Azure Cognitive Search is a search service that enables indexing and querying of data. While useful for searching through product catalogs, it does not handle image analysis or text extraction.

AI-102 Question 5

Single answer

A retail company wants to develop a solution to automatically detect and extract text from product labels in images uploaded by their suppliers. They also want to ensure the solution can handle handwritten text on labels. Which Azure service should you choose?

  1. A

    Azure Computer Vision API

  2. B

    Azure Form Recognizer

  3. C

    Azure Custom Vision

  4. D

    Azure Cognitive Search

Show answer and explanation

Correct answer: A

Explanation

Azure Computer Vision API is the best choice for this scenario because it includes OCR capabilities that can extract both printed and handwritten text from images. The other options either focus on different use cases (e.g., structured form data extraction, custom image classification) or are unrelated to computer vision tasks (e.g., search functionality).

  • A. Correct.

    Azure Computer Vision API is the appropriate choice because it provides OCR (Optical Character Recognition) capabilities for extracting text from images, including both printed and handwritten text. This aligns well with the scenario's requirements.

  • B. Incorrect.

    Azure Form Recognizer is designed for extracting structured data from forms and documents, such as invoices or receipts. While it has OCR capabilities, it is not the best fit for general text extraction from images like product labels.

  • C. Incorrect.

    Azure Custom Vision is used for building and training custom image classification or object detection models. It is not intended for text extraction from images.

  • D. Incorrect.

    Azure Cognitive Search is a search service that integrates with other tools for indexing and querying data. It is not suitable for text extraction from images.

AI-102 Question 6

Single answer

Your organization wants to build a customer support application that can analyze and generate insights from customer feedback provided in natural language. The solution should also detect the sentiment of the feedback and classify it into predefined categories such as 'Product Issue', 'Service Complaint', or 'General Inquiry'. Which Azure service is the most appropriate for this requirement?

  1. A

    Azure Text Analytics

  2. B

    Azure Machine Learning

  3. C

    Azure Bot Service

  4. D

    Azure Cognitive Search

Show answer and explanation

Correct answer: A

Explanation

Azure Text Analytics, as part of Azure Cognitive Services, provides pre-built natural language processing capabilities suitable for analyzing and extracting insights from text, including sentiment analysis and text classification. This makes it the most appropriate solution for the given scenario, without the need for building and training custom models.

  • A. Correct.

    Azure Text Analytics is designed for natural language processing tasks such as sentiment analysis, key phrase extraction, and text classification. It fits the requirements of detecting sentiment and categorizing feedback.

  • B. Incorrect.

    Azure Machine Learning is a general-purpose platform for building, deploying, and managing machine learning models. While it could be used to create custom models for this purpose, it would require significantly more effort and isn't the most efficient choice for the described use case.

  • C. Incorrect.

    Azure Bot Service is used for building conversational AI and chatbots. While it can facilitate interaction with users, it is not designed for analyzing sentiment or classifying text.

  • D. Incorrect.

    Azure Cognitive Search is designed to provide search capabilities for structured and unstructured data. It is not intended for natural language processing tasks such as sentiment analysis or text classification.

AI-102 Question 7

Single answer

Your company is developing a chatbot to assist customers in processing refund requests. The chatbot needs to understand customer queries written in natural language and extract specific entities such as 'order number' and 'refund reason' for processing. Which Azure service should you use to implement this solution?

  1. A

    Azure Cognitive Services - Text Analytics

  2. B

    Azure Cognitive Services - Translator

  3. C

    Azure Cognitive Services - Language Understanding (LUIS)

  4. D

    Azure Bot Service

Show answer and explanation

Correct answer: C

Explanation

Azure Cognitive Services - Language Understanding (LUIS) is the most appropriate service for building the natural language understanding component of a chatbot. It allows developers to define intents and extract entities from user input, which is essential for processing refund requests in a chatbot scenario. Other services like Text Analytics or Translator do not provide the intent recognition or entity extraction capabilities needed for this specific use case.

  • A. Incorrect.

    Azure Cognitive Services - Text Analytics is used primarily for sentiment analysis, key phrase extraction, named entity recognition, and language detection, but it does not specialize in building conversational models or intent recognition for chatbots.

  • B. Incorrect.

    Azure Cognitive Services - Translator is used for translating text between languages. It is not designed to understand the intent of user queries or extract entities in a natural language context.

  • C. Correct.

    Azure Cognitive Services - Language Understanding (LUIS) is the correct choice as it is specifically designed to understand user intents and extract entities from natural language input, making it ideal for chatbot scenarios.

  • D. Incorrect.

    Azure Bot Service is a platform for building, testing, and deploying chatbots, but it does not provide natural language processing capabilities. It is typically used in conjunction with LUIS or other NLP services.

AI-102 Question 8

Single answer

You are tasked with building a solution that analyzes customer feedback from support tickets to determine the sentiment and key topics discussed. Which Azure service should you use to implement this natural language processing solution?

  1. A

    Azure Text Analytics

  2. B

    Azure Form Recognizer

  3. C

    Azure Bot Service

  4. D

    Azure Translator

Show answer and explanation

Correct answer: A

Explanation

Azure Text Analytics is the right choice because it is a natural language processing service that provides features like sentiment analysis, key phrase extraction, and named entity recognition. These capabilities align perfectly with the requirements of analyzing customer feedback to determine sentiment and identify key topics.

  • A. Correct.

    Azure Text Analytics is the appropriate service for analyzing text to determine sentiment and extract key phrases or topics. It is specifically designed for natural language processing tasks like sentiment analysis and entity recognition.

  • B. Incorrect.

    Azure Form Recognizer is used for extracting information from documents such as invoices or forms. It is not suitable for analyzing unstructured text or determining sentiment.

  • C. Incorrect.

    Azure Bot Service is designed for creating chatbots and conversational AI, not for analyzing text or extracting sentiment or topics.

  • D. Incorrect.

    Azure Translator is designed to translate text between languages but does not provide sentiment analysis or key phrase extraction capabilities.

AI-102 Question 9

Select 2

You are designing a solution for a customer service chatbot that needs to understand and respond to user inquiries in natural language. The chatbot must also detect the sentiment of customer messages to prioritize escalations for negative sentiment. Which Azure service(s) should you use to implement this functionality?

  1. A

    Azure Language Service

  2. B

    Azure Cognitive Search

  3. C

    Azure Bot Service

  4. D

    Azure Speech to Text

  5. E

    Azure Machine Learning

Show answer and explanation

Correct answers: A, C

Explanation

To implement a chatbot capable of understanding and responding to user inquiries in natural language while also detecting sentiment, Azure Language Service is the best choice for NLP and sentiment analysis. Azure Bot Service is necessary to build and deploy the chatbot itself. Together, these services provide an efficient and comprehensive solution for the scenario.

  • A. Correct.

    Azure Language Service is the appropriate choice for natural language processing tasks such as understanding user intent, extracting information, and analyzing sentiment. It provides pre-built NLP capabilities, which are crucial for this solution.

  • B. Incorrect.

    Azure Cognitive Search is primarily used for indexing and searching content, not for understanding natural language or analyzing sentiment, making it unsuitable for this scenario.

  • C. Correct.

    Azure Bot Service is essential for building and deploying the chatbot itself, enabling conversational interaction with users. While it doesn’t handle NLP directly, it integrates well with Azure Language Service for natural language understanding.

  • D. Incorrect.

    Azure Speech to Text is used for transcribing spoken language into text. While useful for speech-based scenarios, it is not relevant for the required natural language processing and sentiment analysis tasks in this scenario.

  • E. Incorrect.

    Azure Machine Learning is a platform for building custom machine learning models. While powerful, it is an unnecessarily complex choice for this scenario, where pre-built services like Azure Language Service already provide the required functionality.

AI-102 Question 10

Single answer

A company wants to build a customer support chatbot that can understand user queries in natural language and respond with relevant answers. The chatbot needs to support multiple languages and integrate with other Azure services to provide analytics on customer interactions. Which Azure service should you recommend for implementing the natural language understanding component of the solution?

  1. A

    Azure Cognitive Services: Language Understanding (LUIS)

  2. B

    Azure Bot Framework

  3. C

    Azure Machine Learning

  4. D

    Azure Cognitive Services: Translator

Show answer and explanation

Correct answer: A

Explanation

The best choice for the natural language understanding component of a chatbot is Azure Cognitive Services: Language Understanding (LUIS). It is designed to interpret and extract meaning from user queries, which is critical for building an intelligent chatbot. Other services, like Azure Bot Framework, are complementary but do not handle the NLU tasks directly.

  • A. Correct.

    Azure Cognitive Services: Language Understanding (LUIS) is specifically designed for natural language understanding (NLU) tasks. It enables applications to parse user queries and extract intents and entities, making it ideal for building intelligent chatbots.

  • B. Incorrect.

    Azure Bot Framework is used to build conversational bots and manage their interactions but does not directly provide NLU capabilities. Instead, it relies on services like LUIS for language understanding.

  • C. Incorrect.

    Azure Machine Learning is a general-purpose machine learning platform that could be used to build custom NLP models but would require significant effort compared to a pre-built service like LUIS.

  • D. Incorrect.

    Azure Cognitive Services: Translator is used for translating text between languages and does not provide natural language understanding capabilities.

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What the AI-102 exam covers

Official Designing and Implementing a Microsoft Azure AI Solution exam domains and weightings.

  • Plan and Manage an Azure AI Solution

    15% of exam

  • Implement Computer Vision Solutions

    20% of exam

  • Implement Natural Language Processing Solutions

    30% of exam

  • Implement Knowledge Mining and Document Intelligence Solutions

    15% of exam

  • Implement Generative AI Solutions

    20% of exam

AI-102 practice questions 1 to 100 of 492

Every question has a page with the answer and explanation. Numbers are stable, so you can bookmark or share them. The bank is split into 5 pages of up to 100 questions.

  1. 1.A retail company wants to implement a solution to automatically analyze images of their products to extract...
  2. 2.A retail company wants to implement a solution to analyze customer behavior in their physical stores by...
  3. 3.A retail company wants to implement a computer vision solution to automatically analyze images of their...
  4. 4.A retail company wants to implement a solution that automatically identifies and categorizes products in...
  5. 5.A retail company wants to develop a solution to automatically detect and extract text from product labels in...
  6. 6.Your organization wants to build a customer support application that can analyze and generate insights from...
  7. 7.Your company is developing a chatbot to assist customers in processing refund requests. The chatbot needs to...
  8. 8.You are tasked with building a solution that analyzes customer feedback from support tickets to determine the...
  9. 9.You are designing a solution for a customer service chatbot that needs to understand and respond to user...
  10. 10.A company wants to build a customer support chatbot that can understand user queries in natural language and...
  11. 11.A company wants to build a voice-enabled virtual assistant that can transcribe user speech into text,...
  12. 12.A company wants to build a voice assistant that can convert spoken language into text, understand the user's...
  13. 13.You are designing a voice-enabled virtual assistant for a customer service application. The assistant needs...
  14. 14.Your organization is building a new virtual assistant that will interact with users through voice commands....
  15. 15.A company wants to implement an AI solution that converts live audio streams of customer service calls into...
  16. 16.Your company wants to implement a generative AI solution to create personalized product descriptions for an...
  17. 17.A company is developing a chatbot application to generate human-like responses and provide personalized...
  18. 18.A retail company wants to implement a generative AI solution to create personalized product descriptions for...
  19. 19.You are designing a generative AI solution for your organization to automatically create detailed product...
  20. 20.You are tasked with building a generative AI solution that can create realistic text-based content for...
  21. 21.Your company needs to build a solution to extract key-value pairs, tables, and text from a variety of...
  22. 22.You are developing a solution for a company that needs to extract and analyze structured data, such as tables...
  23. 23.A company needs to extract text, tables, and key-value pairs from a variety of document formats, including...
  24. 24.A company needs to extract key-value pairs, tables, and handwritten text from scanned invoices to automate...
  25. 25.A company wants to automate the extraction of key-value pairs, tables, and text from scanned invoices and...
  26. 26.A company wants to build a knowledge mining solution to extract insights from a diverse set of unstructured...
  27. 27.Your company wants to implement a knowledge mining solution to extract insights from thousands of...
  28. 28.You are tasked with building a knowledge mining solution for your organization to extract insights from a...
  29. 29.Your company needs to implement a knowledge mining solution to analyze and extract insights from a large...
  30. 30.A retail company has a large collection of unstructured documents, including product catalogs, customer...
  31. 31.You are designing an AI solution for a healthcare organization that involves a predictive model for...
  32. 32.You are designing an AI solution for a healthcare application that predicts patient diagnoses based on...
  33. 33.You are designing an AI solution for a financial institution to automate loan approval decisions. The...
  34. 34.You are tasked with designing an Azure AI solution for a healthcare organization that uses machine learning...
  35. 35.Your organization is planning to develop an AI-powered chatbot to assist customers with their queries. To...
  36. 36.You are tasked with creating an Azure Cognitive Services resource in your Azure subscription to enable...
  37. 37.You are tasked with creating an Azure Cognitive Services resource to implement a machine translation feature...
  38. 38.You are tasked with creating an Azure AI resource to implement a custom vision solution for your...
  39. 39.You are tasked with creating an Azure AI resource to enable an application to perform natural language...
  40. 40.You are tasked with building an AI-powered solution for a client that requires natural language understanding...
  41. 41.You are tasked with deploying an Azure Cognitive Services resource for Language Understanding (LUIS) in your...
  42. 42.You are deploying a natural language processing (NLP) model using Azure Cognitive Services Text Analytics. To...
  43. 43.You are configuring a Cognitive Services resource in Azure to provide text analysis functionality. You need...
  44. 44.You are deploying a custom machine learning model as a web service in Azure Machine Learning. The deployed...
  45. 45.You are designing an AI solution in Azure using the Computer Vision service. You have created an instance of...
  46. 46.You are tasked with integrating Azure Cognitive Services into a CI/CD pipeline for a machine learning...
  47. 47.You are developing a machine learning model using Azure Machine Learning and want to integrate it into a...
  48. 48.You are an AI engineer tasked with integrating an Azure Cognitive Services Text Analytics model into your...
  49. 49.You are tasked with integrating Azure Cognitive Services into a CI/CD pipeline for a machine learning...
  50. 50.You are integrating Azure AI services, specifically Azure Cognitive Services, into a CI/CD pipeline to ensure...
  51. 51.You are tasked with deploying a custom AI model packaged in a Docker container to Azure. The solution must...
  52. 52.You are tasked with deploying a pre-trained machine learning model packaged as a Docker container to Azure....
  53. 53.You are tasked with deploying a pre-trained machine learning model as a containerized web service in Azure....
  54. 54.You are tasked with deploying a containerized machine learning model to Azure. The model must scale...
  55. 55.You are designing a solution to deploy a machine learning model as a containerized application in Azure. The...
  56. 56.You are designing an Azure AI solution and need to enable diagnostic logging for an Azure Cognitive Services...
  57. 57.You are designing an AI solution using Azure Cognitive Services and need to configure diagnostic logging for...
  58. 58.You are designing an Azure AI solution that involves multiple Azure Cognitive Services. To monitor...
  59. 59.You are designing an Azure AI solution and need to enable diagnostic logging for an Azure Cognitive Services...
  60. 60.You are responsible for monitoring an Azure Cognitive Services resource that processes sensitive customer...
  61. 61.You are managing a Cognitive Services resource in Azure that supports a production application. You need to...
  62. 62.Your organization uses Azure Cognitive Services to power its chatbot and wants to monitor the resource for...
  63. 63.You are managing an Azure AI resource that powers multiple machine learning models in production. Recently,...
  64. 64.You are managing an Azure AI resource deployed for a machine learning solution. Users have reported slower...
  65. 65.You have deployed a Cognitive Services resource in Azure to support your AI application. To ensure optimal...
  66. 66.Your company uses Azure Cognitive Services to power its AI-based customer support chatbot. The team has...
  67. 67.You are designing a solution that utilizes multiple Azure AI services, including Azure Cognitive Services and...
  68. 68.Your organization is using Azure Cognitive Services, and you have been tasked with managing costs...
  69. 69.Your organization uses Azure Cognitive Services for multiple AI workloads, including Text Analytics,...
  70. 70.You are responsible for managing the costs of Azure AI services in your organization. Your team is using...
  71. 71.You are managing access keys for an Azure Cognitive Services resource in a production environment. To...
  72. 72.You are managing an Azure Cognitive Services account that uses keys for authentication. One of your team...
  73. 73.You are managing an Azure Cognitive Services account for your organization. To enhance security, you need to...
  74. 74.Your company uses Azure Cognitive Services and stores sensitive data in Azure Storage accounts. To enhance...
  75. 75.You are managing an Azure Storage Account that is used by several applications. To enhance security, you need...
  76. 76.You are developing an Azure AI application that uses a Cognitive Services resource. To enhance the security...
  77. 77.You are designing a solution for an Azure-based application that uses sensitive account keys to access a...
  78. 78.You are tasked with securing the storage account keys for an Azure-based solution. The solution requires that...
  79. 79.You are developing a secure Azure AI solution where a Cognitive Services resource needs access to a storage...
  80. 80.You are developing an Azure-based application that requires access to a storage account. To enhance security,...
  81. 81.You are developing an application that uses Azure Cognitive Services for text analysis. The application must...
  82. 82.You are developing an application that uses Azure Cognitive Services. The application needs to authenticate...
  83. 83.You are developing an application that uses Azure Cognitive Services to perform sentiment analysis. You want...
  84. 84.You are implementing an Azure AI solution and need to secure access to an Azure Cognitive Services resource....
  85. 85.You are responsible for managing authentication for an Azure Cognitive Services resource. The development...
  86. 86.You are designing a conversational AI solution for your company using Azure Bot Service. The bot needs to...
  87. 87.You are designing a chatbot solution using Azure Bot Service for a healthcare organization. The chatbot needs...
  88. 88.Your team manages an Azure AI solution that involves a chatbot interacting with customers. The chatbot...
  89. 89.You are designing an Azure AI solution that involves sensitive customer data being exchanged between your...
  90. 90.You are designing an Azure AI solution for a healthcare provider that needs to ensure private communication...
  91. 91.You are designing a content moderation solution for a social media platform using Azure AI Content Safety....
  92. 92.You are designing a text moderation solution for a social media application using Azure AI Content Safety....
  93. 93.You are designing a text moderation solution for a social media platform using Azure AI Content Safety. The...
  94. 94.You are building a content moderation system for a social media platform using Azure AI Content Safety. The...
  95. 95.You are tasked with implementing an image moderation solution for a social media platform using Azure AI...
  96. 96.You are building an image moderation solution for a content-sharing platform using Azure AI Content Safety....
  97. 97.You are developing an application that processes user-uploaded images and uses Azure AI Content Safety to...
  98. 98.You are tasked with implementing an image moderation solution for a social media platform using Azure AI...
  99. 99.You are tasked with implementing an image moderation solution for a social media application using Azure AI...
  100. 100.You are designing an Azure AI solution for a company that needs to analyze images of shipping containers to...

AI-102 exam dumps FAQ

Are these AI-102 dumps real exam questions?

No. These are original practice questions written to the Designing and Implementing a Microsoft Azure AI Solution exam objectives, not questions copied from a live exam. Memorising leaked questions violates Microsoft's candidate agreement and stops working the moment the question pool rotates. Use this bank to check your understanding of each domain and to find the topics you still need to study.

How many AI-102 practice questions are there?

492 questions, each with the correct answer, an explanation of the answer, and a note on why every other option is wrong. The first 10 are on this page and every question has its own page linked below.

Are the AI-102 exam dumps free?

Yes. Every question, answer and explanation on this page and the linked question pages is free to read without an account. A free HydraNode account adds timed practice exams, scoring and progress tracking across attempts.

How do I take a timed AI-102 practice test?

Sign in and start the Designing and Implementing a Microsoft Azure AI Solution exam on HydraNode. A session gives you 40 questions drawn from this bank in 120 minutes, then a score report with a per-question review.

What topics does the AI-102 exam cover?

The official exam domains are: Plan and Manage an Azure AI Solution; Implement Computer Vision Solutions; Implement Natural Language Processing Solutions; Implement Knowledge Mining and Document Intelligence Solutions; Implement Generative AI Solutions.

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