AI-102: Microsoft Azure AI Solution Exam Practice Tests 2026

AI-102: Microsoft Azure AI Engineer Associate is a cutting-edge certification program designed for professionals seeking to enhance their expertise in artificial intelligence and machine learning on the Microsoft Azure platform. This certification is highly regarded in the industry and is recognized as a mark of excellence in the field of AI engineering.

One of the standout features of AI-102 is the comprehensive practice exam that is included as part of the certification process. This practice exam is designed to simulate the actual exam experience, allowing candidates to familiarize themselves with the format and types of questions that they can expect to encounter on the real exam. By taking the practice exam, candidates can assess their readiness and identify areas where they may need to focus their study efforts.

This practice exam covers a wide range of topics related to AI engineering on the Microsoft Azure platform, including machine learning, natural language processing, computer vision, and more. It is designed to test candidates' knowledge and skills in these areas, as well as their ability to apply them in real-world scenarios. The questions are carefully crafted to be challenging and thought-provoking, ensuring that candidates are well-prepared for the rigors of the actual exam.

In addition to providing valuable practice and feedback, the practice exam also serves as a valuable learning tool. By working through the questions and reviewing the answers, candidates can deepen their understanding of key concepts and principles in AI engineering. This hands-on approach to learning is highly effective in helping candidates retain information and apply it effectively in their work.

Furthermore, this practice exam is an excellent way for candidates to build confidence and reduce test anxiety. By simulating the exam experience in a controlled environment, candidates can alleviate some of the stress and pressure that often accompanies high-stakes exams. This can help them perform at their best on the actual exam day and achieve the results they desire.

Microsoft Azure AI Solution Exam Summary:

• Exam Name : Microsoft Azure AI Solution

• Exam Code : AI-102

• Exam Price : 165 (USD)

• Number of Questions: Maximum of 40-60 questions,

• Type of Questions: Multiple Choice Questions (single and multiple response), drag and drops and performance-based,

• Length of Test: 130 Minutes. The exam is available in English and Japanese languages.

• Passing Score: 700 / 1000

• Languages : English at launch. Japanese

• Schedule Exam : Pearson VUE

Microsoft AI-102 Exam Syllabus Topics:

• Plan and manage an Azure AI solution (15–20%)

• Implement content moderation solutions (10–15%)

• Implement computer vision solutions (15–20%)

• Implement natural language processing solutions (30–35%)

• Implement knowledge mining and document intelligence solutions (10–15%)

• Implement generative AI solutions (10–15%)

  
  

Plan and manage an Azure AI solution (15–20%)

Select the appropriate Azure AI service

• Select the appropriate service for a computer vision solution

• Select the appropriate service for a natural language processing solution

• Select the appropriate service for a speech solution

• Select the appropriate service for a generative AI solution

• Select the appropriate service for a document intelligence solution

• Select the appropriate service for a knowledge mining solution

Plan, create and deploy an Azure AI service

• Plan for a solution that meets Responsible AI principles

• Create an Azure AI resource

• Determine a default endpoint for a service

• Integrate Azure AI services into a continuous integration and continuous delivery (CI/CD) pipeline

• Plan and implement a container deployment

Manage, monitor, and secure an Azure AI service

• Configure diagnostic logging

• Monitor an Azure AI resource

• Manage costs for Azure AI services

• Manage account keys

• Protect account keys by using Azure Key Vault

• Manage authentication for an Azure AI Service resource

• Manage private communications

Implement content moderation solutions (10–15%)

Create solutions for content delivery

• Implement a text moderation solution with Azure AI Content Safety

• Implement an image moderation solution with Azure AI Content Safety

Implement computer vision solutions (15–20%)

Analyze images

• Select visual features to meet image processing requirements

• Detect objects in images and generate image tags

• Include image analysis features in an image processing request

• Interpret image processing responses

• Extract text from images using Azure AI Vision

• Convert handwritten text using Azure AI Vision

Implement custom computer vision models by using Azure AI Vision

• Choose between image classification and object detection models

• Label images

• Train a custom image model, including image classification and object detection

• Evaluate custom vision model metrics

• Publish a custom vision model

• Consume a custom vision model

Analyze videos

• Use Azure AI Video Indexer to extract insights from a video or live stream

• Use Azure AI Vision Spatial Analysis to detect presence and movement of people in video

Implement natural language processing solutions (30–35%)

Analyze text by using Azure AI Language

• Extract key phrases

• Extract entities

• Determine sentiment of text

• Detect the language used in text

• Detect personally identifiable information (PII) in text

Process speech by using Azure AI Speech

• Implement text-to-speech

• Implement speech-to-text

• Improve text-to-speech by using Speech Synthesis Markup Language (SSML)

• Implement custom speech solutions

• Implement intent recognition

• Implement keyword recognition

Translate language

• Translate text and documents by using the Azure AI Translator service

• Implement custom translation, including training, improving, and publishing a custom model

• Translate speech-to-speech by using the Azure AI Speech service

• Translate speech-to-text by using the Azure AI Speech service

• Translate to multiple languages simultaneously

Implement and manage a language understanding model by using Azure AI Language

• Create intents and add utterances

• Create entities

• Train, evaluate, deploy, and test a language understanding model

• Optimize a language understanding model

• Consume a language model from a client application

• Backup and recover language understanding models

Create a question answering solution by using Azure AI Language

• Create a question answering project

• Add question-and-answer pairs manually

• Import sources

• Train and test a knowledge base

• Publish a knowledge base

• Create a multi-turn conversation

• Add alternate phrasing

• Add chit-chat to a knowledge base

• Export a knowledge base

• Create a multi-language question answering solution

Implement knowledge mining and document intelligence solutions (10–15%)

Implement an Azure AI Search solution

• Provision an Azure AI Search resource

• Create data sources

• Create an index

• Define a skillset

• Implement custom skills and include them in a skillset

• Create and run an indexer

• Query an index, including syntax, sorting, filtering, and wildcards

• Manage Knowledge Store projections, including file, object, and table projections

Implement an Azure AI Document Intelligence solution

• Provision a Document Intelligence resource

• Use prebuilt models to extract data from documents

• Implement a custom document intelligence model

• Train, test, and publish a custom document intelligence model

• Create a composed document intelligence model

• Implement a document intelligence model as a custom Azure AI Search skill

Implement generative AI solutions (10–15%)

Use Azure OpenAI Service to generate content

• Provision an Azure OpenAI Service resource

• Select and deploy an Azure OpenAI model

• Submit prompts to generate natural language

• Submit prompts to generate code

• Use the DALL-E model to generate images

• Use Azure OpenAI APIs to submit prompts and receive responses

  
  

Overall, the comprehensive practice exam included in AI-102: Microsoft Azure AI Engineer Associate is a valuable resource for candidates seeking to enhance their skills and advance their careers in the field of AI engineering. It provides a realistic and effective way to prepare for the certification exam, while also serving as a valuable learning tool and confidence booster. With its challenging questions and real-world focus, the practice exam is an essential component of the AI-102 certification program and a key factor in its success.