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Azure AI Fundamentals: Generative AI and Document Intelligence

Authored by ysa bel

Information Technology (IT)

Professional Development

Used 1+ times

Azure AI Fundamentals: Generative AI and Document Intelligence
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15 questions

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1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which action aligns with Azure OpenAI DALL-E capabilities shown in the image?

Generate new images from prompts

Automatically caption uploaded images

Perform optical character recognition

Detect objects within existing images

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the maximum image file size supported by the prebuilt receipt model in Azure AI Document Intelligence?

5 MB limit per image

10 MB limit per image

100 MB limit per image

50 MB limit per image

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which Azure capability should be used to identify harmful content in a generative AI solution?

Face detection service

Video analysis service

Content Safety service

Language service module

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Your company is exploring voice recognition for smart home devices and wants to identify barriers that might unintentionally omit specific user groups. Which Microsoft responsible AI principle best fits this effort?

inclusiveness

fairness

accountability

privacy and security

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

You are designing an AI system that empowers everyone, including people with hearing, visual, and other impairments. Which Microsoft responsible AI principle does this exemplify?

reliability and safety

inclusiveness

fairness

accountability

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

An AI system must not discriminate based on gender and race. Which responsible AI principle most directly addresses this requirement?

fairness

reliability and safety

privacy and security

transparency

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Automated decision processes must be recorded so approved users can identify why a decision was made. Which principle fits this requirement?

Transparency to explain decisions

Privacy and security to protect data

Fairness to balance group outcomes

Reliability and safety for consistent behavior

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