1Z0-1127-25 OCI Generative AI Service Practice Question
A team wants to use OCI Generative AI Agents to build a question-answering system over documents stored in OCI Object Storage. They have created a knowledge base and are ready to test. Which API should they use to interact with the agent for multi-turn conversations?
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
✓
Sessions API
The Sessions API is used to manage conversational sessions with OCI GenAI Agents, allowing multi-turn interactions. The Chat API is for direct LLM chat without agent capabilities. The Generate API is for single-turn text generation, and the Embedding API is for vector creation.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Chat API
Why it's wrong here
The Chat API is for direct interaction with LLMs, not for the managed RAG agent service.
- ✗
Embedding API
Why it's wrong here
The Embedding API generates vector embeddings, not conversational interfaces.
- ✓
Sessions API
Why this is correct
The Sessions API provides multi-turn conversation management for OCI GenAI Agents.
- ✗
Generate API
Why it's wrong here
The Generate API is for single-turn text generation without session management.
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