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Microsoft AI-901 Exam Syllabus Topics:

TopicDetails
Topic 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.
Topic 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.

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Microsoft Azure AI Fundamentals Sample Questions (Q10-Q15):

NEW QUESTION # 10
Select the answer that correctly completes the sentence.

Answer:

Explanation:


NEW QUESTION # 11
Hotspot Question
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:


NEW QUESTION # 12
You have an Azure subscription.
You need to use Azure Content Understanding in Foundry Tools to extract structured data from invoices.
What should you provision?

Answer: C

Explanation:
To extract structured data from invoices using Azure Content Understanding in Foundry Tools, you must provision a Microsoft Foundry resource (often referred to as an Azure AI services resource configured within a supported region).
Reference:
https://learn.microsoft.com/en-us/azure/ai-services/content-understanding/tutorial/create-custom-analyzer


NEW QUESTION # 13
Hotspot Question
Select the answer that correctly completes the sentence.

Answer:

Explanation:

Explanation:
Box: transcription
Azure Content Understanding in Foundry Tools uses transcription preprocessing to convert spoken words from audio and video files into text-based transcripts.
Optimized Preprocessing: Transcription runs as an initial extraction step to provide rich textual context before passing data to generative AI models.
Transcript Formatting: Conversational audio is turned into searchable WebVTT transcripts containing word-level or sentence-level timestamp.
Speaker Separation: Features like diarization identify and distinguish different speakers, while speaker role detection can pinpoint specific roles (such as agent and customer).
Multilingual Handling: It supports automatic language identification and multi-language phrase transcription.
Reference:
https://learn.microsoft.com/en-us/azure/ai-services/content-understanding/video/overview


NEW QUESTION # 14
You need to create an AI agent in Microsoft Foundry that follows a specific role and behavior when responding to users.
What should you configure?

Answer: C

Explanation:
To create an AI agent that follows a specific role and behavior, you configure system instructions . Microsoft Foundry Agent Service documentation states that agent instructions define goals, constraints, and behavior
.
Option A. tokens per minute (TPM) controls throughput quota, not behavior.
Option C. temperature controls response randomness/creativity, not the agent's role.
Option D. max completion tokens controls response length, not the agent's role or behavioral rules.
Therefore, the correct answer is B. system instructions .


NEW QUESTION # 15
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