AI-901 Aktuelle Prüfung - AI-901 Prüfungsguide & AI-901 Praxisprüfung

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Microsoft AI-901 Prüfungsplan:

ThemaEinzelheiten
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.

>> AI-901 Quizfragen Und Antworten <<

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Microsoft Azure AI Fundamentals AI-901 Prüfungsfragen mit Lösungen (Q106-Q111):

106. Frage
In which two scenarios can you use speech recognition? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.

Antwort: C,D

Begründung:
[A] Closed Captions
Goal: Show text on a screen for videos.
How it works:
Speech recognition matches spoken words with time codes.
This makes text appear on the screen as the audio plays.
[D] Transcript Creation
Goal: Write down everything said in a phone call or a meeting.
How it works:
An audio file is processed by a speech recognition tool.
The tool outputs a text document of the conversation.


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

Antwort:

Begründung:


108. Frage
You are developing an application that processes voicemail recordings by using Azure Content Understanding in Foundry Tools. Which feature does Azure Content Understanding use to convert audio to text?

Antwort: D

Begründung:
To convert audio to text for voicemail recordings in Azure Content Understanding, you should use the Transcription feature. This core capability leverages the Speech to Text service to automatically convert conversational audio into highly accurate, analyzable text.
Key Transcription Capabilities for Voicemails
Fast Transcription: Designed for applications that require predictable latency and rapid, near real- time conversion for shorter audio files like voicemails.
Text Formatting: Outputs text in structured, searchable formats (like WebVTT) with optional sentence- or word-level timestamps.
Multilingual Options: Automatically detects or locks to specific locales to accommodate diverse callers.
Reference:
https://learn.microsoft.com/en-us/azure/ai-services/content-understanding/audio/overview


109. Frage
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.

Antwort:

Begründung:

Explanation:
* Fairness
* Privacy and security
* Transparency
* Reliability and safety
Comprehensive and Detailed Explanation with all Azure AI documents : =
Evaluating model outputs to ensure that decisions are NOT biased against specific demographic groups:
Fairness
Microsoft's responsible AI principle of fairness means AI systems should treat people fairly and avoid unfair bias across demographic groups.
Encrypting sensitive customer data and restricting system access to authorized personnel: Privacy and security The privacy and security principle requires AI systems to protect personal and sensitive data and prevent unauthorized access.
Informing users when they are interacting with an AI system and explaining the system's capabilities and limitations: Transparency The transparency principle requires that people understand when they are interacting with AI and understand the system's purpose, capabilities, and limitations.
Testing AI systems under different conditions to reduce unexpected failures: Reliability and safety The reliability and safety principle means AI systems should operate reliably and safely, including through testing and validation under expected and unexpected conditions.


110. Frage
Hotspot Question
Select the answer that correctly completes the sentence.

Antwort:

Begründung:

Explanation:
Box: Computer vision
Computer vision uses Optical Character Recognition (OCR) and deep learning models to detect, localize, and extract printed or handwritten text from images, turning visual pixels into editable digital data.
Reference:
https://docs.cloud.google.com/vision/docs/ocr


111. Frage
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