Prompt Engineering MCQ

Correct answer: Shorter prompts and outputs cost less and run faster at scale. From lesson: Token and cost awareness

Correct answer: Track prompt versions like code so you can roll back regressions. From lesson: Prompt versioning

Correct answer: Without tests you can't know if a prompt change helped or hurt. From lesson: Why evaluate prompts

Correct answer: Collect representative inputs, including edge cases, with ideal answers. From lesson: Building a test set

Correct answer: Decide what 'good' means - accuracy, tone, format, completeness. From lesson: Defining quality criteria

Prompt engineering, LLMs, AI safety, RAG and applied AI questions.

Q111. Which best captures the key idea of "Token and cost awareness"? Medium

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Q112. Which best captures the key idea of "Prompt versioning"? Medium

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Q113. Which best captures the key idea of "Why evaluate prompts"? Medium

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Q114. Which best captures the key idea of "Building a test set"? Medium

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Q115. Which best captures the key idea of "Defining quality criteria"? Medium

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Q116. Which best captures the key idea of "Human evaluation"? Medium

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Q117. Which best captures the key idea of "Automated evaluation"? Medium

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Q118. Which best captures the key idea of "LLM-as-judge"? Medium

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Q119. Which best captures the key idea of "Catching regressions"? Medium

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Q120. Which best captures the key idea of "Measuring consistency"? Medium

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