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1Z0-1127-25 OCI Generative AI Service Practice Question

A data scientist is using the OCI Generative AI Embeddings API to generate vectors for a classification task. Which TWO input types are appropriate for this use case?

Answer choices

Why each option matters

Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.

Correct answer & explanation

clustering

The Embeddings API supports input types like 'classification' and 'clustering' which optimize embeddings for those tasks. 'search_document' and 'search_query' are for search. 'text' is not a valid input type.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

  • search_query

    Why it's wrong here

    Used for search queries, not classification.

  • clustering

    Why this is correct

    Optimizes embeddings for clustering tasks, which can be used for classification.

  • text

    Why it's wrong here

    Not a valid input type in the Embeddings API.

  • classification

    Why this is correct

    Optimizes embeddings for classification tasks.

  • search_document

    Why it's wrong here

    Used for indexing documents in search, not classification.

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