1Z0-1127-25 OCI Generative AI Service Practice Question
A company wants to build a RAG application using OCI Generative AI Agents. Which TWO components are required to set up the agent?
⚠ Common exam trap
A common misconception is that you need to separately provision an embedding model or a dedicated AI cluster, when in fact OCI Generative AI Agents abstract these components away as part of the managed service, requiring only a data source and a knowledge base.
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
✓
A knowledge base
A knowledge base is the core repository that stores the indexed content used by OCI Generative AI Agents to retrieve relevant information for answering queries. Without a knowledge base, the agent has no source of domain-specific data to ground its responses, making it a mandatory component.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
An embedding model
Why it's wrong here
Embedding is used internally but not a component you configure separately for Agents.
- ✓
A knowledge base
Why this is correct
Required to store indexed documents.
- ✗
A dedicated AI cluster
Why it's wrong here
Not required for Agents; Agents use shared infrastructure.
- ✓
A data source (e.g., OCI Object Storage)
Why this is correct
Required to provide documents for the knowledge base.
- ✗
A fine-tuned model
Why it's wrong here
Not required; Agents use foundation models.
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