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

A company is using OCI Generative AI Agents to build a customer support assistant. They have uploaded product manuals to OCI Object Storage. Which two components are required to create the agent? (Select TWO)

⚠ Common exam trap

A common misconception in OCI is that you can directly upload data to a Generative AI Agent or that you must manually create an endpoint, but in reality the agent relies on a knowledge base for data ingestion and uses a managed endpoint automatically.

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

Create a Generative AI Agent using the knowledge base

A Generative AI Agent requires a knowledge base to provide domain-specific context for answering queries. The knowledge base is the source of truth that the agent uses to ground its responses, and it must be explicitly created and associated with the agent. Without a knowledge base, the agent would lack the product manual data needed for customer support.

Answer analysis

Option-by-option breakdown

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

  • Create a Generative AI Agent using the knowledge base

    Why this is correct

    The agent uses the knowledge base to answer questions.

  • Create an endpoint via InferenceClient

    Why it's wrong here

    Endpoints are for direct model access, not for the agent service.

  • Create a knowledge base from the Object Storage bucket

    Why this is correct

    The knowledge base indexes the documents for retrieval.

  • Upload data directly to the agent (not via knowledge base)

    Why it's wrong here

    Data must be indexed in a knowledge base first.

  • Provision a Dedicated AI Cluster

    Why it's wrong here

    Agents can use shared infrastructure; a dedicated cluster is optional and not a requirement.

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Written by Johnson Ajibi, MSc IT Security

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