1Z0-1127-25 OCI Generative AI Service Practice Question
What is the primary benefit of using a Dedicated AI Cluster for inference in OCI Generative AI?
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
✓
Higher throughput and lower latency due to dedicated compute resources
A Dedicated AI Cluster provides exclusive, low-latency inference with reserved capacity, unlike shared infrastructure where resources are contended.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Ability to use any LLM model for free
Why it's wrong here
Dedicated clusters incur costs and do not provide free access.
- ✓
Higher throughput and lower latency due to dedicated compute resources
Why this is correct
Dedicated clusters offer consistent, low-latency performance without competition for resources.
- ✗
Automatic model fine-tuning on the cluster
Why it's wrong here
Dedicated clusters are for inference, not fine-tuning (though fine-tuned models can be deployed on them).
- ✗
No need to create endpoints
Why it's wrong here
Endpoints are still required to access the model on a dedicated cluster.
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