Which concept helps reduce overfitting in machine learning?

• A.Ignoring datasets
• B.Regularization
• C.Increasing random noise only
• D.Disabling validation

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In supervised machine learning, what is required?

• A.Labeled datasets
• B.Random hardware failures
• C.No data
• D.Only encrypted traffic

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What happens when the input provided to an LLM exceeds its context window limit?

• A.The model increases its context window size.
• B.The model loses the earliest part of the text.
• C.The model caches the overflow data.
• D.The model switches to a different algorithm.

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What is a use case for generative AI in the testing phase of the software development lifecycle?

• A.generating automated documentation
• B.generating synthetic test data
• C.drafting user stories
• D.performing static code analysis

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Why are embeddings essential to the retrieval phase of a RAG system?

• A.They compress the prompt length.
• B.They provide a keyword index.
• C.They represent semantic meaning.
• D.They reduce model hallucination.

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