1Z0-1127-25 OCI Generative AI Service Practice Question
A team is planning to use OCI Generative AI to summarize large documents. They need to choose between on-demand (pay-as-you-go) and dedicated cluster pricing. Which THREE factors should they consider when deciding? (Choose three.)
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
✓
Throughput requirements and consistency
Latency sensitivity, throughput consistency, and cost predictability are key factors. On-demand is variable cost with potential contention; dedicated offers fixed cost with reserved capacity. Model accuracy does not differ based on pricing model, and data residency is a compliance factor but not directly tied to pricing model choice.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Throughput requirements and consistency
Why this is correct
Dedicated clusters guarantee throughput; on-demand is shared and may throttle.
- ✓
Latency sensitivity of the application
Why this is correct
Dedicated clusters provide low, consistent latency; on-demand may have variable latency.
- ✗
Model accuracy on summarization tasks
Why it's wrong here
Accuracy is model-dependent, not pricing-model-dependent.
- ✗
Data residency requirements
Why it's wrong here
Data residency is a compliance factor not directly tied to pricing model choice; both models can be deployed in the same region.
- ✓
Cost predictability and budget constraints
Why this is correct
Dedicated clusters have fixed monthly costs; on-demand is variable based on usage.
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