Practice Exam Questions

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Question 1

A company uses a generative AI model to create marketing content. They want to ensure the model does not produce offensive or harmful language.

Which Responsible AI principle is being addressed?

A. Transparency
B. Fairness
C. Reliability and Safety
D. Accountability

Correct Answer: C

Explanation:
Preventing harmful or offensive outputs is a core aspect of reliability and safety, which ensures AI systems behave safely under expected conditions.

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Question 2

A chatbot powered by generative AI informs users that responses are created by an AI system and may contain errors.

Which Responsible AI principle does this demonstrate?

A. Privacy and Security
B. Transparency
C. Inclusiveness
D. Fairness

Correct Answer: B

Explanation:
Clearly communicating that content is AI-generated and may be inaccurate supports transparency, helping users understand the system’s limitations.

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Question 3

A developer ensures that AI-generated job descriptions do not favor or exclude any gender, ethnicity, or age group.

Which Responsible AI principle is being applied?

A. Accountability
B. Fairness
C. Reliability and Safety
D. Privacy

Correct Answer: B

Explanation:
Avoiding bias and discrimination in generated content aligns with the fairness principle.

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Question 4

An organization requires a human reviewer to approve all AI-generated responses before they are published on a public website.

Which Responsible AI principle does this represent?

A. Transparency
B. Reliability and Safety
C. Accountability
D. Inclusiveness

Correct Answer: C

Explanation:
Ensuring humans remain responsible for AI outputs demonstrates accountability.

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Question 5

A generative AI system is designed so that user prompts and outputs are not stored or used to retrain the model.

Which Responsible AI principle is primarily addressed?

A. Transparency
B. Privacy and Security
C. Fairness
D. Inclusiveness

Correct Answer: B

Explanation:
Protecting user data and preventing unauthorized use of information supports privacy and security.

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Question 6

Which feature in Azure AI services helps prevent generative AI models from producing unsafe or inappropriate content?

A. Model training
B. Content filters
C. Data labeling
D. Feature engineering

Correct Answer: B

Explanation:
Content filters are used to block harmful, unsafe, or inappropriate AI-generated outputs.

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Question 7

A generative AI model supports multiple languages and produces accessible text for diverse user groups.

Which Responsible AI principle does this best represent?

A. Fairness
B. Transparency
C. Inclusiveness
D. Accountability

Correct Answer: C

Explanation:
Supporting diverse languages and accessibility aligns with the inclusiveness principle.

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Question 8

Which scenario best illustrates a Responsible AI concern specific to generative AI?

A. A model classifies images into categories
B. A model predicts future sales
C. A model generates false but confident answers
D. A model stores structured data in a database

Correct Answer: C

Explanation:
Generative AI can produce hallucinations—incorrect but plausible outputs—which is a key Responsible AI concern.

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Question 9

Why is Responsible AI especially important for generative AI workloads?

A. Generative AI requires more computing power
B. Generative AI creates new content that can cause harm if uncontrolled
C. Generative AI only works with unstructured data
D. Generative AI replaces traditional machine learning

Correct Answer: B

Explanation:
Because generative AI creates new content, it can introduce bias, misinformation, or harmful outputs if not properly governed.

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Question 10

A company uses Azure OpenAI Service and wants to ensure ethical use of generative AI.

Which action best supports Responsible AI practices?

A. Removing all system prompts
B. Enabling content moderation and human review
C. Increasing model size
D. Disabling user authentication

Correct Answer: B

Explanation:
Combining content moderation with human oversight helps ensure safe, ethical, and responsible use of generative AI.

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Final Exam Tips for This Topic

• Expect scenario-based questions
• Focus on principles, not technical configuration
• Watch for keywords: bias, harm, safety, privacy, transparency
• If the question mentions risk or trust, think Responsible AI

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