1Z0-1127-25 Deploying and Managing Generative AI on OCI Practice Question
A team wants to use OCI Generative AI to generate synthetic data for training a model. They are concerned about the cost of API calls. Which pricing model would be most cost-effective for high-volume batch processing?
⚠ Common exam trap
Oracle often tests the misconception that pay-as-you-go is always the cheapest for any workload, but the trap here is that high-volume batch processing benefits from reserved capacity's flat fee, which lowers per-request costs significantly compared to per-request pricing models.
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
✓
Reserved capacity with a fixed monthly fee
Reserved capacity with a fixed monthly fee provides the lowest per-request cost for high-volume batch processing. OCI Generative AI offers dedicated capacity pricing, which is ideal for predictable, large-scale workloads where you commit to a certain throughput, avoiding per-request charges that would accumulate significantly with high volume.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
OCI Universal Credits with per-request charges
Why it's wrong here
Universal Credits are consumed per request; costs scale with volume.
- ✗
Monthly subscription with limited requests
Why it's wrong here
Limited requests may not be sufficient and overage charges apply.
- ✗
Pay-as-you-go per request
Why it's wrong here
Pay-as-you-go is suitable for low volume; high volume leads to higher costs.
- ✓
Reserved capacity with a fixed monthly fee
Why this is correct
Reserved capacity offers predictable pricing and lower per-request cost for high volume.
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