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Microsoft Azure AI Fundamentals (Updated Version) AI-901 Exam Questions

Preparing for the AI-901 exam is simple with ExamsDay. We offer easy-to-understand study materials that help you learn the most important exam topics. You can study using our PDF questions, practice online with a real exam-style test, or use the desktop practice software. Choose the study method that works best for you and prepare at your own pace.

At ExamsDay, we keep our AI-901 practice questions up to date. Whenever the exam syllabus or objectives change, we update our study materials so you always learn the latest topics. This helps you save time, avoid outdated content, and feel more confident when you take your exam.

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Question #6 (Topic: All Exam Questions)

Which action can be performed by using the Azure Vision in Foundry Tools service?

A.

identifying breeds of animals in live video streams


B.

extracting data from handwritten letters


C.

extracting key phrases from documents


D.

creating thumbnails for training videos

Correct Answer: B
Explanation:

Azure Vision in Foundry Tools supports OCR capabilities for reading printed and handwritten text from images and documents. Microsoft documentation states that OCR extracts text from images and documents, including handwritten text.

Therefore, extracting data from handwritten letters is the action that can be performed by using Azure Vision in Foundry Tools.

Question #7 (Topic: All Exam Questions)

Verifying that machine learning models do NOT show racial or gender bias is an example of which Microsoft responsible AI principle?

A.

Safety


B.

Privacy and security


C.

Reliability


D.

fairness

Correct Answer: D
Explanation:

Verifying that machine learning models do not show racial or gender bias is an example of the Microsoft responsible AI principle of fairness.

Fairness means AI systems should treat people equitably and avoid unfair bias across demographic groups such as race, gender, age, or other protected characteristics.

Why the other options are incorrect:

A. Safety focuses on avoiding harm and operating safely.

B. Privacy and security focuses on protecting data and access.

C. Reliability focuses on consistent and dependable operation.

D. Fairness directly addresses bias and equitable treatment.

Question #8 (Topic: All Exam Questions)

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

You need to ensure that responses generated by the model minimize costs and remain within a defined length.

Which parameter should you configure?

A.

Temperature


B.

Max Completion Tokens


C.

Top P


D.

Model version settings

Correct Answer: B
Explanation:

To minimize cost and keep generated responses within a defined length, configure Max Completion Tokens.

Microsoft’s Azure OpenAI / Foundry API reference defines max_completion_tokens as an upper bound for the number of tokens that can be generated for a completion. Because generated tokens contribute to usage and response length, limiting completion tokens helps control both output length and cost.

Temperature and Top P control randomness or sampling behavior, not maximum response length. Model version settings do not directly define the generated response length.

Question #9 (Topic: All Exam Questions)

You are using the Azure Speech SDK to develop a Python application that supports real-time spoken conversations.

Which Azure speech class should you use to configure the connection to the Azure Speech service?

A.

AudioConfig


B.

SpeechSynthesizer


C.

AuditOutputConfig

Correct Answer: C
Question #10 (Topic: All Exam Questions)

You need to build an AI solution that responds to user queries with detailed written explanations.

Which type of AI model should you use?

A.

a speech recognition model


B.

an embedding model


C.

an image generation model


D.

a text generation model

Next Question
Correct Answer: D