1Z0-1127-25 Using OCI Generative AI Service Practice Question
A data scientist is fine-tuning a Cohere model on OCI Generative AI service for a custom classification task. They have a dataset of 1000 labeled examples. What is the minimum recommended dataset size for fine-tuning?
⚠ Common exam trap
Many candidates assume a lower number like 500 is sufficient based on general machine learning heuristics, but OCI's specific fine-tuning documentation explicitly sets 1000 as the minimum, and Oracle tests this exact documented value.
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
✓
1000
Cohere models on OCI Generative AI require a minimum of 1000 labeled examples for fine-tuning to ensure sufficient signal for learning task-specific patterns without overfitting. This threshold is documented in OCI's fine-tuning requirements and applies to custom classification tasks.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
500
Why it's wrong here
500 may be borderline but 1000 is the stated minimum.
- ✓
1000
Why this is correct
Cohere's documentation states a minimum of 1000 examples.
- ✗
5000
Why it's wrong here
5000 is more than necessary; the question asks for minimum.
- ✗
100
Why it's wrong here
100 examples are too few for fine-tuning to generalize.
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