In a natural language processing task handoff, a senior reviewer asks which action best matches the objective. Which choice best applies the official guidance for large dataset insight extraction?

ATreat every LLM task as a deployment issue even when the objective is about analysis, experimentation, or trustworthiness.

BSkip measurement, supervision, or responsible AI considerations even though the guide calls them out.

CExtracting insights from large datasets with data mining and visualization is appropriate when the goal is to discover useful patterns in large data.

DFocus only on chart formatting and ignore model selection, prompts, embeddings, and RAG use cases.

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In a natural language processing task handoff, a senior reviewer asks which action best matches the objective. Which choice best applies the official guidance for large dataset insight extraction?

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