1Z0-1127-25 Fundamentals of Large Language Models Practice Question
Network Topology
Refer to the exhibit. A developer encounters this error. Which action should they take to resolve the issue?
⚠ Common exam trap
Oracle often tests the misconception that model parameters (like temperature or max-tokens) can resolve API-level errors, when in fact throttling errors require waiting or implementing retry logic with backoff.
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
✓
Wait and retry after some time.
The error indicates a rate limit or throttling issue, typically returned by the OCI Generative AI service when the API request quota is exceeded. Waiting and retrying after the cooldown period allows the rate limit to reset, which is the correct resolution for transient throttling errors.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Wait and retry after some time.
Why this is correct
Rate limit errors require waiting for the quota to reset, typically after a short period. Automatic retries with backoff are recommended.
- ✗
Change the model to cohere.command-light.
Why it's wrong here
Model choice does not bypass rate limits; each model and endpoint has its own rate limits.
- ✗
Increase the max-tokens value.
Why it's wrong here
Increasing max-tokens would likely increase resource usage and could exacerbate rate limiting.
- ✗
Decrease the temperature to 0.0.
Why it's wrong here
Temperature does not affect rate limits; it controls token selection randomness.
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