1Z0-1127-25 OCI Generative AI Service Practice Question
A developer is using the OCI Generative AI Chat API to build a multi-turn conversational agent. They want the model to remember previous exchanges within the same session. How should they manage conversation history?
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
✓
Use the Chat API's message list parameter, appending each user and assistant message
The Chat API accepts a list of messages (including user and assistant turns) to maintain context. The developer should append each exchange to the message list and send it with each request.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Store history client-side and concatenate all previous outputs into the user prompt each time
Why it's wrong here
Concatenating all history into a single user prompt is inefficient and may exceed token limits; the Chat API expects a message list.
- ✗
Use the Generate API with a system prompt that includes the entire history
Why it's wrong here
The Generate API is for single-turn completions, not designed for conversation history management.
- ✓
Use the Chat API's message list parameter, appending each user and assistant message
Why this is correct
The Chat API supports multi-turn by passing an array of messages representing the conversation history.
- ✗
Rely on the model's built-in memory mechanism
Why it's wrong here
LLMs do not have built-in memory; context must be explicitly provided via the API.
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