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AI-901 Exam Practice Questions

Azure AI Fundamentals

AI-901 English PDF practice questions: 158 questions in source order, with options supported by the source format, answers and available explanations. Access covers this exam only. One-time payment; no automatic renewal.

Exam overview

For early-career candidates learning Azure AI solution concepts and foundational application-development skills.

Exam code
AI-901
Official exam / credential
Azure AI Fundamentals
Exam format
Proctored assessment; interactive items may be included
Official exam languages
English, Arabic (Saudi Arabia), Simplified Chinese, Traditional Chinese, French, German, Indonesian, Italian, Japanese, Korean, Portuguese (Brazil), Russian, Spanish

Official exam languages and practice-question file languages are listed separately. Confirm the exam version and available languages when booking with the provider.

Official sources: Provider reference
Information checked: 2026-10-20

Supported languages

  • English
  • Simplified Chinese
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First 20 practice questions

158 total questions

Questions follow the source order. Expand each answer to see its explanation.

Disclaimer: All questions on ExamPico are compiled from internet sources and are provided for study reference only.

Question 11

Question#11Topic1

HOTSPOT -
You are developing an application that analyze invoices by using Azure Content Understanding in Foundry Tools.
You need to ensure that the application retrieves the analysis results after processing completes.
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.
Question illustration

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Answer

B

Explanation

Azure SDK long-running operations return a poller; call poller.result() to wait for completion and retrieve analysis results.

Question 12

Question#12Topic1

DRAG DROP -
You have a Microsoft Foundry project named project1 that contains an Azure OpenAI resource named Resource1.
To Resource1, you deploy a gpt-4.1-mini model by using a model deployment named my-mini-gpt.
You need to connect to my-mini-gpt from an application.
How should you complete the Python code? To answer, drag the appropriate values to the correct targets. Each value may be used once, more than once, or not at all.
NOTE: Each correct selection is worth one point.
Question illustration

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Answer

DB

Explanation

The base_url subdomain is the Azure OpenAI resource name (resource1), and the model parameter must be the deployment name (my-mini-gpt), not the underlying model name.

Question 13

Question#13Topic1

HOTSPOT -
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.
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Answer

NNY

Explanation

Agents use pretrained generative models to reason and act; they are not retrained per request and do not simply copy stored answers.

Question 14

Question#14Topic1

DRAG DROP -
You are reviewing best practices for using AI at your company.
Which Microsoft responsible AI principle is each task an example of? To answer, drag the appropriate principles to the correct tasks. Each task may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.
NOTE: Each correct match is worth one point.
Question illustration

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Answer

BDFE

Explanation

Microsoft responsible AI principles: Fairness (bias), Privacy and security (data protection), Transparency (disclosure), Reliability and safety (robust testing).

Question 15

Question#15Topic1

HOTSPOT -
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.
Question illustration

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Answer

YNY

Explanation

Inference generates tokens from learned patterns; models do not copy training documents verbatim for each response.

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