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Deploying and Managing Generative AI on OCIeasyMultiple ChoiceObjective-mapped

1Z0-1127-25 Deploying and Managing Generative AI on OCI Practice Question

A developer wants to integrate generative AI capabilities into an application using REST API calls. Which OCI Generative AI service endpoint should they use for text generation?

⚠ Common exam trap

Many exam-takers confuse the `/chat` endpoint (designed for conversational AI) with the `/completions` endpoint (designed for single-turn text generation), or assume `/inference` is a generic catch-all endpoint for all AI tasks.

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

/completions

The OCI Generative AI service exposes a REST API endpoint at `/completions` specifically for text generation tasks. This endpoint accepts a prompt and returns a generated text completion, aligning directly with the developer's requirement to integrate generative AI capabilities via REST API calls.

Answer analysis

Option-by-option breakdown

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

  • /completions

    Why this is correct

    /completions is the endpoint for generating text completions.

  • /models

    Why it's wrong here

    /models is for listing or managing models, not for inference.

  • /inference

    Why it's wrong here

    There is no /inference endpoint in the OCI Generative AI API.

  • /chat

    Why it's wrong here

    /chat is for conversational models, but the question asks for text generation in general.

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