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Microsoft AI-901 Exam Overview:

Certification Vendor:	Microsoft
Exam Name:	Microsoft Azure AI Fundamentals
Exam Number:	AI-901
Certificate Validity Period:	Lifetime
Exam Format:	Case studies, Multiple select, Multiple choice
Exam Duration:	60 minutes
Available Languages:	Korean, Indonesian (Indonesia), Russian, German, Spanish, Arabic (Saudi Arabia), Japanese, Portuguese (Brazil), Chinese (Simplified), Italian, English, French, Chinese (Traditional)
Real Exam Qty:	30-40
Exam Price:	$99 USD
Passing Score:	700
Recommended Training:	Microsoft Learn: AI concepts for developers and technology professionals Microsoft Learn: Get started with Microsoft Foundry
Exam Registration:	Microsoft Certification Exam Registration Pearson VUE Scheduling
Sample Questions:	Microsoft AI-901 Sample Questions
Exam Way:	Online proctored or onsite at Pearson VUE test centers
Pre Condition:	No required prerequisites; basic understanding of cloud computing and familiarity with Python syntax recommended
Official Syllabus URL:	https://learn.microsoft.com/en-us/credentials/certifications/exams/ai-901/

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AI-901 German - AI-901 Prüfungsfragen

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Microsoft AI-901 Prüfungsplan:

Thema	Einzelheiten
Thema 1	Implement AI solutions by using Microsoft Foundry: This domain is hands-on and focuses on building and deploying AI solutions using the Microsoft Foundry platform and its associated tools. It spans generative AI apps, text and speech processing, computer vision, and document intelligence all implemented through the Foundry portal and SDK.
Thema 2	Identify AI concepts and capabilities: This domain covers the foundational knowledge of AI from ethical principles and responsible design to understanding how AI models work and what kinds of tasks they can perform. It also explores the full range of AI workloads including generative AI, computer vision, speech, and information extraction.

Microsoft Azure AI Fundamentals AI-901 Prüfungsfragen mit Lösungen (Q87-Q92):

87. Frage
Which feature of the Azure Language in Foundry Tools service should you use to automate the masking of names and phone numbers in text data?

A. entity linking
B. Personally Identifiable Information (Pll) detection
C. custom named entity recognition (NER)
D. custom text classification

Antwort: B

Begründung:
To automate masking of names and phone numbers in text data, use Personally Identifiable Information (PII) detection in Azure Language.
PII detection identifies sensitive personal information such as names, phone numbers, email addresses, addresses, and other personal identifiers. It can be used to detect and redact or mask that information from text.
The other options are incorrect:
A). custom text classification categorizes documents or text into labels.
C). entity linking identifies entities and links them to knowledge base entries.
D). custom named entity recognition (NER) can extract custom entities, but for built-in masking of names and phone numbers, PII detection is the correct feature.

88. Frage
You are designing an AI system that empowers everyone, including people who have hearing, visual, and other impairments. This is an example of which Microsoft guiding principle for responsible AI?

A. inclusiveness
B. accountability
C. fairness
D. reliability and safety

Antwort: A

Begründung:
An AI system designed to empower everyone, including people with hearing, visual, and other impairments, is a direct example of the inclusiveness guiding principle for responsible AI.
Accessibility: It ensures technology adapts to human needs rather than forcing humans to adapt to technology.
Equal Opportunity: It provides users of all abilities with the same access to information, tools, and digital experiences.
Diverse Design: It reflects a development process that intentionally considers and incorporates the needs of historically underserved populations.
Reference:
https://uitop.design/blog/design/inclusive-design/

89. Frage
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. accountability
B. fairness
C. reliability and safety
D. transparency

Antwort: A

90. Frage
You have a Python application that extracts fields from invoices by using Azure Content Understanding in Foundry Tools You submit a PDF for analysts.
What should the application do to retrieve the results?

A. Repeatedly call begin_analyze() with the same inputs to force a synchronous response.
B. Send a GET request to the Microsoft Foundry endpoint to download the analyzer schema.
C. Poll the operation results until the asynchronous analysis job succeeds
D. Use optical character recognition (OCR) to parse the text from the PDF and map the fields in the code.

Antwort: C

Begründung:
Azure Content Understanding analysis operations are asynchronous long-running operations. Microsoft's Python SDK documentation states that analysis starts with a begin operation, then the application polls for results until analysis completes.
Therefore, after submitting the PDF for analysis, the application should poll the operation results until the asynchronous analysis job succeeds .

91. Frage
You have a Microsoft Foundry project that contains an agent named Agent1.
You need to ensure that Agent1 always calls an Azure function when the agent responds to user input.
To what should you set tool_choice for Agent1?

A. auto
B. none
C. required

Antwort: C

Begründung:
Microsoft's Foundry Agent Service documentation states that tool_choice provides deterministic control over tool calling:
auto means the model decides whether to call tools.
required means the model must call one or more tools.
none means the model does not call tools.
Therefore:
A . auto = Incorrect, because the model may or may not call the Azure function.
B . none = Incorrect, because this prevents tool/function calls.
C . required = Correct, because it forces the agent to call a tool.
The Azure OpenAI function-calling documentation also confirms that tool_choice="auto" lets the model decide whether to call a function, while tool_choice="none" forces a user-facing response without a tool call.

92. Frage
......

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