Prompt Engineering MCQ

Correct answer: Keep a running summary of a long chat to preserve key facts. From lesson: Rolling summaries

Correct answer: Use IDs or tags so the model can cite exact parts of long text. From lesson: Reference markers

Correct answer: Split big documents into overlapping chunks for reliable processing. From lesson: Chunking strategy

Correct answer: Store facts outside the prompt and re-inject only what's relevant. From lesson: External memory

Correct answer: Re-state critical constraints periodically in long tasks. From lesson: Avoiding context loss

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

Q91. Which best captures the key idea of "Rolling summaries"? Medium

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Q92. Which best captures the key idea of "Reference markers"? Medium

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Q93. Which best captures the key idea of "Chunking strategy"? Medium

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Q94. Which best captures the key idea of "External memory"? Medium

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Q95. Which best captures the key idea of "Avoiding context loss"? Medium

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Q96. Which best captures the key idea of "Long-context pitfalls"? Medium

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Q97. Which best captures the key idea of "Strict JSON output"? Medium

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Q98. Which best captures the key idea of "Function calling"? Medium

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Q99. Which best captures the key idea of "Schema design"? Medium

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Q100. Which best captures the key idea of "Validation and retries"? Medium

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