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Microsoft AI-901 Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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.
Topic 2
  • 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.

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TOP AI-901 Guide - High Pass-Rate Microsoft AI-901 Vce Files: Microsoft Azure AI Fundamentals

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Microsoft Azure AI Fundamentals Sample Questions (Q100-Q105):

NEW QUESTION # 100
You are developing an AI-powered customer support application.
Which task is an example of the Microsoft responsible AI principle of inclusiveness?

Answer: B

Explanation:
The Microsoft responsible AI principle of inclusiveness means AI systems should be designed to empower and engage everyone, including people with different abilities, languages, and accessibility needs.
Therefore, designing the interface to support multiple languages and screen readers is an example of inclusiveness.
Why the other options are incorrect:
A . Provide explanations about how predictions are generated = Transparency C . Evaluate model outputs across demographic groups to reduce bias = Fairness D . Encrypt stored customer data and restrict access by using role-based controls = Privacy and security


NEW QUESTION # 101
You are building an AI system.
Which task should you include to help the service meet the Microsoft transparency principle for responsible AI?

Answer: A


NEW QUESTION # 102
Hotspot Question
Select the answer that correctly completes the sentence.

Answer:

Explanation:

Explanation:
Box: the Azure Language MCP server
To enable an AI agent in Microsoft Foundry to utilize Azure Language capabilities for text analysis, you must configure the Azure Language Model Context Protocol (MCP) server.
Microsoft Foundry integrates its ecosystem of deterministic AI services through the standardized Model Context Protocol (MCP). This removes the need to write custom routing logic or stitch together multiple standalone APIs.
Reference:
https://learn.microsoft.com/en-us/azure/ai-services/language-service/overview


NEW QUESTION # 103
Which action can be performed by using the Azure Vision in Foundry Tools service?

Answer: A

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.


NEW QUESTION # 104
You have 100 instructional videos that do NOT contain any audio. Each instructional video has a script.
You need to generate a narration audio file for each video based on the script.
Which type of workload should you use?

Answer: C

Explanation:
Text to speech enables your applications, tools, or devices to convert text into humanlike synthesized speech. The text to speech capability is also known as speech synthesis. Use humanlike prebuilt neural voices out of the box, or create a custom neural voice that's unique to your product or brand.
Reference:
https://learn.microsoft.com/en-us/azure/cognitive-services/speech-service/text-to-speech


NEW QUESTION # 105
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