AI-901 Testking & AI-901 Fragen Beantworten

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Microsoft AI-901 Exam Syllabus Topics:

SectionWeightObjectives
Implement AI solutions by using Microsoft Foundry55-60%- Work with models in Microsoft Foundry
  • 1. Evaluate model performance and safety
  • 2. Customize models with prompt engineering
  • 3. Fine-tune models
  • 4. Discover and deploy foundation models
- Implement AI solutions
  • 1. Implement single-agent solutions
  • 2. Monitor and manage AI solutions
  • 3. Integrate AI services into applications
  • 4. Use code examples to call AI services
- Get started with Microsoft Foundry
  • 1. Navigate the Microsoft Foundry portal
  • 2. Describe core features and use cases of Microsoft Foundry
  • 3. Create and configure a Foundry project
Identify AI concepts and responsibilities40-45%- Describe principles of responsible AI
  • 1. Describe fairness considerations
  • 2. Describe accountability considerations
  • 3. Describe reliability and safety considerations
  • 4. Describe privacy and security considerations
  • 5. Describe transparency considerations
  • 6. Describe inclusiveness considerations
- Identify AI concepts and features
  • 1. Describe capabilities of machine learning
  • 2. Describe capabilities of computer vision
  • 3. Describe characteristics of generative AI
  • 4. Describe types of AI workloads
  • 5. Describe capabilities of natural language processing
- Identify AI model components and configurations
  • 1. Describe model training and evaluation concepts
  • 2. Describe data preparation for AI models
  • 3. Describe model deployment and consumption concepts

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Microsoft Azure AI Fundamentals AI-901 Prüfungsfragen mit Lösungen (Q95-Q100):

95. Frage
Match the principles of responsible Al to appropriate requirements.
To answer, drag the appropriate principles from the column on the left to its requirement on the right. Each principle 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 selection is worth one point.

Antwort:

Begründung:

Explanation:
The system must not discriminate based on gender, race, or age. = Fairness This requirement maps to fairness because fairness means AI systems should avoid unfair bias and treat people equitably across demographic groups.
Personal data must be visible only to approved users. = Privacy and security This requirement maps to privacy and security because it focuses on protecting personal data and restricting access to authorized users only.
Automated decision-making processes must be recorded so that approved users can identify why a decision was made. = Transparency This requirement maps to transparency because recording decision-making processes helps users understand and explain how or why an AI-supported decision was made.


96. Frage
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.

Antwort:

Begründung:


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

Antwort:

Begründung:


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

Antwort:

Begründung:

Explanation:
Box: natural language processing
The interactive answering of questions entered by a user as part of an application is a direct example of natural language processing (NLP).
How NLP Powers Interactive Q&A
Text interpretation: The system uses linguistic rules and machine learning models to read and interpret the user's typed input.
Intent recognition: It figures out what the user wants or needs by analyzing the meaning behind the words.
Response generation: It formulates and delivers a human-like reply back through the application interface.
Reference:
https://www.gauthmath.com/solution/1800845210023942/The-interactive-answering-of-questions-entered-by-a-user-as-part-of-an-applicati


99. Frage
You are developing an AI-powered customer support application. Which task is an example of the Microsoft responsible AI principle of inclusiveness?

Antwort: C

Begründung:
The inclusiveness principle states that AI systems should empower everyone and engage people.
Designing for multiple languages and screen readers directly reflects this goal.
Screen reader support ensures accessibility for people with visual impairments.
Multi-language interfaces break down barriers for non-native speakers.
Inclusive design proactively addresses physical, cognitive, and linguistic differences.
Reference:
https://www.netguru.com/blog/fintech-app-accessibility


100. Frage
......

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