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Exam Code: AI-901 Vendor: Microsoft Name: Microsoft Azure AI Fundamentals (Updated Version) 125 Q&A with Explanation Last Update: Sep 20, 2026
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AI-901 FAQs

How different is the updated AI-901 exam from the old AI-900?

AI-901 has a stronger focus on implementing solutions with Azure AI Foundry, basic Python SDK usage, generative AI, and agentic AI compared to the more conceptual AI-900.

Does passing AI-901 really add value to my resume and career?

Yes — it proves you understand modern Azure AI, generative AI, and agents using Foundry, which employers actively seek. It’s excellent for roles in cloud consulting, AI support, or as a stepping stone to AI-102. Pair it with a small personal project for stronger impact.

Does the exam focus more on Azure services or actual AI concepts like neural networks?

The exam is ~70–80% Azure AI services (like Cognitive Services, Vision, Language, and Search) and ~20–30% basic AI concepts. You won’t need to build neural networks, but know terms like classification, regression, and anomaly detection at a high level.

Which topics deserve the most attention during preparation?

Focus on AI workloads, machine learning principles, computer vision, natural language processing, and generative AI concepts. Understanding when to use each Azure AI service is essential.

Are there scenario-based questions in the AI-901 exam?

Yes. Some questions describe business situations and ask which Azure AI service best fits the requirement, so understanding practical use cases is more valuable than memorization.

What types of AI workloads should I study for AI-901?

Review common workloads such as machine learning, computer vision, natural language processing, and generative AI. Know the main purpose of each and recognize suitable Azure solutions.

What is the best way to practice for the AI-901 exam?

Use a combination of Microsoft learning materials, hands on Azure exercises, and practice questions. After each practice session, review incorrect answers and focus on the concepts you consistently miss.

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Microsoft Azure AI Fundamentals (Updated Version) Questions and Answers

Questions 1

Select the answer that correctly completes the sentence.

1

Options:

Questions 2

You are developing an application that converts text into spoken audio and saves the synthesized audio to a file by using Azure Speech in Foundry Tools.

How should you complete the Python code? To answer, select the appropriate option in the answer area.

NOTE: Each correct selection is worth one point.

2

Options:

Questions 3

You have the following REST API request.

3

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

Options:

A.

DALL-E

B.

Codex

C.

GPT-4.1

D.

Whisper

Next Question

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