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Microsoft AI-901
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Microsoft AI-901

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Microsoft AI-901 Exam Questions

Exam number/code: AI-901

Release/Update Date: 05 May, 2026

Available Number of Questions: Maximum of 50 Questions

Exam Name: Microsoft Azure AI Fundamentals (Updated Version)

Related Certification(s): Microsoft Azure Certification

Microsoft AI-901 Exam Topics - You’ll Be Tested in Actual Exam

To get comfortable with the AI 901 exam, start by grounding yourself in basic AI concepts and what they can do in real scenarios. You should be able to explain the difference between AI, machine learning, and deep learning, and recognize common workloads such as prediction, classification, clustering, anomaly detection, and natural language and vision tasks. Just as important is knowing when AI is not appropriate, and how quality data, bias, transparency, privacy, and reliability affect outcomes. Then shift to implementing AI solutions by using Microsoft Foundry, where the focus is on turning ideas into working solutions through a guided lifecycle. Expect to work with the flow of selecting a use case, preparing and organizing data, choosing a model approach, training or using prebuilt models, evaluating results with meaningful metrics, and then deploying for use. You should understand how prompts and grounding can shape model behavior for language based solutions, and how to validate outputs for safety and accuracy. Finally, be ready to describe how monitoring and iteration keep a solution healthy over time, since models can drift and requirements can change, and a responsible approach ties the technical steps back to trust and accountability.

Microsoft AI-901 Exam Short Quiz

Attempt this Microsoft AI-901 exam quiz to self-assess your preparation for the actual Microsoft Azure AI Fundamentals (Updated Version) exam. CertBoosters also provides premium Microsoft AI-901 exam questions to pass the Microsoft Azure AI Fundamentals (Updated Version) exam in the shortest possible time. Be sure to try our free practice exam software for the Microsoft AI-901 exam.

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Microsoft AI-901
Q1:

What are two purposes of instructions when prompting a generative AI model? Each correct answer presents part of the solution.

NOTE: Each correct selection is worth one point.

A defines constraints on the model's responses
B defines the agent's role and behavior
C defines the Azure region where inference occurs
D selects which model to use
E defines the tokens per minute (TPM) allocation for the model
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