1Z0-1127-25 Using OCI Generative AI Service Practice Question
A company uses OCI Generative AI Service to build a chatbot for customer support. They notice that the model sometimes generates inappropriate responses. What is the MOST effective way to mitigate this without retraining the model?
⚠ Common exam trap
Oracle often tests the distinction between inference-time controls (like system instructions) and training-time modifications (like fine-tuning), trapping candidates who assume that only retraining can fix behavioral issues, when in fact prompt-level constraints are the fastest and most practical solution for immediate mitigation.
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
✓
Configure system instructions to define acceptable behavior
Configuring system instructions is the most effective approach because it allows you to define the model's behavior and constraints at inference time without modifying the underlying model weights. In OCI Generative AI Service, system instructions act as a persistent prompt that guides the model's responses, enabling you to explicitly prohibit inappropriate content and enforce safety guidelines. This is a non-invasive, immediate mitigation that does not require the time, cost, or data preparation associated with retraining or fine-tuning.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Fine-tune the model with curated safe examples
Why it's wrong here
Fine-tuning requires additional data and resources, and is not a quick mitigation.
- ✓
Configure system instructions to define acceptable behavior
Why this is correct
System instructions constrain the model's output at inference time without retraining.
- ✗
Reduce the temperature parameter to 0
Why it's wrong here
Lower temperature reduces randomness but does not prevent inappropriate content.
- ✗
Use the moderation API to filter responses
Why it's wrong here
The moderation API filters after generation, which is less proactive than setting instructions upfront.
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