Practice Questions

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Question 1

What does reliability mean in the context of an AI solution?

Answer: The ability of an AI system to perform consistently and predictably over time and across different conditions.

Explanation: Reliability focuses on consistent behavior and dependable performance, even when conditions change.

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Question 2

Which situation best represents a safety concern in an AI system?

Answer: An AI-powered medical tool providing incorrect treatment recommendations.

Explanation: Safety relates to preventing harm to people or systems caused by incorrect or unsafe AI behavior.

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Question 3

An AI system works well in testing but produces unexpected results when exposed to real-world data. Which principle is most relevant?

Answer: Reliability

Explanation: Unpredictable behavior in real-world conditions indicates a lack of reliability.

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Question 4

Which AI workload is most likely to require reliability and safety considerations?

Answer: All AI workloads

Explanation: Any AI system that influences decisions, actions, or content should be evaluated for reliability and safety.

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Question 5

Why is it important for AI systems to handle edge cases safely?

Answer: To prevent unexpected or harmful outcomes in unusual situations.

Explanation: Edge cases can cause failures if not handled properly, making safe behavior essential.

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Question 6

A chatbot occasionally generates misleading or harmful advice. Which Responsible AI principle is most directly affected?

Answer: Reliability and safety

Explanation: Producing unsafe or unreliable content poses a risk to users and violates safety expectations.

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Question 7

Which practice helps improve the reliability of an AI system?

Answer: Testing the system under different conditions and scenarios.

Explanation: Testing helps identify weaknesses and ensures consistent performance across varied inputs.

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Question 8

Why should AI systems be monitored after deployment?

Answer: Because real-world data and usage patterns can change over time.

Explanation: Ongoing monitoring helps detect reliability or safety issues that emerge after deployment.

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Question 9

Which Microsoft concept includes reliability and safety alongside fairness, transparency, and accountability?

Answer: Responsible AI

Explanation: Reliability and safety are core principles within Microsoft’s Responsible AI framework.

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Question 10

An organization wants its AI system to fail gracefully instead of producing harmful outputs when errors occur. Which consideration does this reflect?

Answer: Safety

Explanation: Failing safely reduces the risk of harm when AI systems encounter problems or unexpected inputs.

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Exam tip

On the AI-900 exam, reliability relates to consistent and predictable behavior, while safety focuses on preventing harm. Scenario-based questions often include words like unexpected, incorrect, harmful, or unpredictable.

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