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The Microsoft Azure AI Fundamentals (Updated Version) (AI-901)

Passing Microsoft Microsoft Certified: Azure AI Fundamentals exam ensures for the successful candidate a powerful array of professional and personal benefits. The first and the foremost benefit comes with a global recognition that validates your knowledge and skills, making possible your entry into any organization of your choice.

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AI-901 Exam Dumps
  • Exam Code: AI-901
  • Vendor: Microsoft
  • Certifications: Microsoft Certified: Azure AI Fundamentals
  • Exam Name: Microsoft Azure AI Fundamentals (Updated Version)
  • Updated: Oct 6, 2026 Free Updates: 90 days Total Questions: 50 Try Free Demo

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Coverage of Official Microsoft AI-901 Exam Domains

Our curriculum is meticulously mapped to the Microsoft official blueprint.

Identify AI Concepts and Responsibilities (15%)

Master the fundamental principles of machine learning and the expanded Responsible AI framework. Understanding transparency, accountability, and the mechanics of Generative AI models, including how they process prompts and manage tokens.

Identify AI Model Components and Configurations

Deep dive into selecting appropriate models based on business capabilities. Mastery of model deployment options, configuration parameters, and the technical requirements for multimodal models involving text, speech, and vision.

Implement AI Solutions by Using Microsoft Foundry (60%)

Expertise in the Microsoft Foundry ecosystem. Building, deploying, and managing AI models and agents. Includes configuring data pipelines, performing text analysis, and implementing speech-to-text and image-generation capabilities.

AI Agent Development and Consumption

Understanding the lifecycle of Autonomous AI Agents. Mastery of single-agent solutions, recognizing how client applications consume AI services, and interpreting Python code snippets used to call AI models in production.

Microsoft AI-901 Exam Domains Q&A

Certified instructors verify every question for 100% accuracy, providing detailed, step-by-step explanations for each.

Question 1 Microsoft AI-901
QUESTION DESCRIPTION:

You have a Microsoft Foundry project that contains a generative AI model deployment.

You test the model by using the Foundry playground.

You need to develop an application that sends requests to the deployed model.

Which information must the application include to call the model?

  • A.

    The model training dataset

  • B.

    The Foundry project display name

  • C.

    The exported playground session history

  • D.

    The model endpoint and authentication credentials

Correct Answer & Rationale:

Answer: D

Explanation:

To call a deployed Azure OpenAI model from an application, the app must know the service endpoint and authenticate its request. Microsoft documentation states that Azure OpenAI supports API key authentication or Microsoft Entra ID authentication, and API key authentication requires including the API key in the request. Microsoft quickstart guidance also states that to successfully make a call against Azure OpenAI, you need an endpoint and a key.

The application does not need the model training dataset, the Foundry project display name, or exported playground session history to call the deployed model.

Question 2 Microsoft AI-901
QUESTION DESCRIPTION:

Which type of Azure Al workload should you use to create illustrations based on the text of an article?

  • A.

    generative Al

  • B.

    Azure Document Intelligence in Foundry Tools

  • C.

    natural language processing

  • D.

    computer vision

Correct Answer & Rationale:

Answer: A

Explanation:

Creating new illustrations based on the text of an article is a content generation task. Because the AI solution must create new visual content from a text prompt or written input, the correct workload is generative AI.

Question 3 Microsoft AI-901
QUESTION DESCRIPTION:

You need to compare the costs of large language models (LLMs) for a generative AI solution.

What should you use in the Microsoft Foundry portal?

  • A.

    Evaluator catalog

  • B.

    Model leaderboard

  • C.

    Compliance

  • D.

    Tools

Correct Answer & Rationale:

Answer: B

Explanation:

To compare the costs of large language models in Microsoft Foundry portal, use the Model leaderboard.

Microsoft documentation states that the model leaderboard helps compare models across quality, safety, estimated cost, and throughput. It also supports trade-off charts and side-by-side model comparison for features, performance, and estimated cost.

Why the other options are incorrect:

A. Evaluator catalog is for selecting evaluators to measure model or application outputs, not comparing LLM costs.

C. Compliance relates to governance and compliance, not model cost comparison.

D. Tools provides Foundry tools, not benchmarked cost comparison across models.

Question 4 Microsoft AI-901
QUESTION DESCRIPTION:

Capturing text from images is an example of which type of Al capability?

  • A.

    image description

  • B.

    text analysis

  • C.

    optical character recognition (OCR)

  • D.

    object detection

Correct Answer & Rationale:

Answer: C

Explanation:

Capturing or reading text from images is optical character recognition (OCR). OCR is used to detect and extract printed or handwritten text from images, scanned documents, and other visual content.

Question 5 Microsoft AI-901
QUESTION DESCRIPTION:

You have a multimodal model deployed in Microsoft Foundry

You need to configure the model to analyze an image and provide both a written summary and an audio summary of the image.

What is the minimum number of user prompts that should be sent to the model?

  • A.

    1

  • B.

    2

  • C.

    3

  • D.

    A

Correct Answer & Rationale:

Answer: A

Explanation:

A multimodal model can receive a single user prompt that includes the image plus instructions. The prompt can ask for both outputs in one request, for example: “Analyze this image and provide a written summary and an audio summary.” Therefore, the minimum number of user prompts is 1.

Question 6 Microsoft AI-901
QUESTION DESCRIPTION:

What is an example of the Microsoft responsible Al principle of transparency?

  • A.

    ensuring that opportunities are allocated equally to all applicants

  • B.

    ensuring that the privileged data of users is stored in a secure manner

  • C.

    helping users understand the decisions made by an Al system

  • D.

    ensuring that developers are accountable for the solutions they create

Correct Answer & Rationale:

Answer: C

Explanation:

The Microsoft responsible AI principle of transparency means AI systems should be understandable. Users should know when they are interacting with AI and should be able to understand the system’s purpose, capabilities, limitations, and the basis for its decisions.

Therefore, helping users understand the decisions made by an AI system is an example of transparency.

Question 7 Microsoft AI-901
QUESTION DESCRIPTION:

You need to build an AI solution that generates marketing email drafts based on a short description of a product and its target audience.

Which AI workload should you use?

  • A.

    generative AI

  • B.

    computer vision

  • C.

    text classification

  • D.

    speech recognition

Correct Answer & Rationale:

Answer: A

Explanation:

Generating marketing email drafts from a short product description and target audience is a content generation task. This is a generative AI workload because the system creates new text based on the user’s prompt.

B. computer vision is for interpreting images or video.

C. text classification categorizes existing text, but does not draft new marketing emails.

D. speech recognition converts spoken audio into text.

Therefore, the correct answer is A. generative AI.

Question 8 Microsoft AI-901
QUESTION DESCRIPTION:

You have the following REST API request.

AI-901 Q8

Which Azure OpenAI model should you use to process the request?

  • A.

    DALL-E

  • B.

    Codex

  • C.

    GPT-4.1

  • D.

    Whisper

Correct Answer & Rationale:

Answer: A

Explanation:

The REST API request contains an image-generation style payload:

{

" prompt " : " A polar bear on the beach holding an icecream " ,

" size " : " 1024x1024 " ,

" n " : 1,

" style " : " vivid "

}

This request asks the model to generate an image from a text prompt. In Azure OpenAI, DALL-E models are used for image generation from natural language prompts.

Why the other options are incorrect:

B. Codex is associated with code generation tasks.

C. GPT-4.1 is primarily used for text/chat and multimodal reasoning, not this classic image-generation API payload.

D. Whisper is used for speech-to-text transcription.

Question 9 Microsoft AI-901
QUESTION DESCRIPTION:

You deploy an Al system to assist with hiring decisions.

Company policy requires that human reviewers oversee Al-generated recommendations and remain responsible for final hiring

decisions.

Which Microsoft responsible Al principle is this an example of?

  • A.

    reliability and safety

  • B.

    fairness

  • C.

    transparency

  • D.

    accountability

Correct Answer & Rationale:

Answer: D

Explanation:

Requiring human reviewers to oversee AI-generated hiring recommendations and remain responsible for the final hiring decisions is an example of the Microsoft responsible AI principle of accountability.

Accountability means people and organizations remain responsible for AI systems, their decisions, and their effects. In this scenario, the AI system assists with recommendations, but humans retain oversight and responsibility for the final decision.

Question 10 Microsoft AI-901
QUESTION DESCRIPTION:

You are developing a lightweight application that will call an agent programmatically by using the Microsoft Foundry SDK. You need to identify the agent ID. What should you do?

  • A.

    In the Foundry tool catalog, copy the tool name used by the agent.

  • B.

    In the model catalog, open the model card and copy the model family name.

  • C.

    the Foundry portal, copy the project name.

  • D.

    In the Foundry playground, select Code, and view the .env variables.

Correct Answer & Rationale:

Answer: D

Explanation:

When calling a Foundry agent programmatically by using the Microsoft Foundry SDK, the application needs the agent’s configuration values, including the agent ID. The Foundry playground provides a Code view that shows sample application code and environment variables needed to call the agent.

The other options are incorrect:

A. copy the tool name used by the agent identifies a tool, not the agent.

B. copy the model family name identifies the model family, not the agent instance.

C. copy the project name identifies the project, not the specific agent ID.

A Stepping Stone for Enhanced Career Opportunities

Your profile having Microsoft Certified: Azure AI Fundamentals certification significantly enhances your credibility and marketability in all corners of the world. The best part is that your formal recognition pays you in terms of tangible career advancement. It helps you perform your desired job roles accompanied by a substantial increase in your regular income. Beyond the resume, your expertise imparts you confidence to act as a dependable professional to solve real-world business challenges.

Your success in Microsoft AI-901 certification exam makes your visible and relevant in the fast-evolving tech landscape. It proves a lifelong investment in your career that give you not only a competitive advantage over your non-certified peers but also makes you eligible for a further relevant exams in your domain.

What You Need to Ace Microsoft Exam AI-901

Achieving success in the AI-901 Microsoft exam requires a blending of clear understanding of all the exam topics, practical skills, and practice of the actual format. There's no room for cramming information, memorizing facts or dependence on a few significant exam topics. It means your readiness for exam needs you develop a comprehensive grasp on the syllabus that includes theoretical as well as practical command.

Here is a comprehensive strategy layout to secure peak performance in AI-901 certification exam:

  • Develop a rock-solid theoretical clarity of the exam topics
  • Begin with easier and more familiar topics of the exam syllabus
  • Make sure your command on the fundamental concepts
  • Focus your attention to understand why that matters
  • Ensure hands-on practice as the exam tests your ability to apply knowledge
  • Develop a study routine managing time because it can be a major time-sink if you are slow
  • Find out a comprehensive and streamlined study resource for your help

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Microsoft AI-901 PDF Study Guide

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