1Z0-1127-25 Using OCI Generative AI Service Practice Question
A data scientist is fine-tuning a model on OCI Generative AI with a custom dataset. They receive a "QuotaExceeded" error during training. What is the most likely cause?
⚠ Common exam trap
OCI Gen AI exams often test the distinction between different types of quotas (compute vs. API rate vs. storage vs. egress) to see if candidates understand that 'QuotaExceeded' in the context of training specifically refers to compute resource limits, not API throttling or storage caps.
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
✓
Exceeded the training compute unit quota
The 'QuotaExceeded' error during fine-tuning on OCI Generative AI specifically indicates that the training job has consumed more compute units than allocated in the service limit. Fine-tuning requires dedicated training compute units (TCUs) which are a separate quota from inference or API calls. When this quota is exhausted, the service rejects new training jobs with this error.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Exceeded the training compute unit quota
Why this is correct
Fine-tuning uses training compute units; quota may be exceeded.
- ✗
Exceeded the API call rate limit
Why it's wrong here
API rate limits apply to inference requests, not training.
- ✗
Exceeded the model storage limit
Why it's wrong here
Model storage quota is for saving models, not for running training.
- ✗
Exceeded the data transfer out limit
Why it's wrong here
Data transfer out is for egress, not training.
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