The answer is to enable auto-scaling with a maximum of 3 replicas. This directly addresses high latency during peak hours by dynamically adding compute replicas to handle increased inference requests, while capping the maximum at three prevents unnecessary cost overruns. On the Oracle Cloud Infrastructure Generative AI Professional 1Z0-1127 exam, this scenario tests your understanding of balancing performance and cost when reducing latency on dedicated AI cluster auto-scaling—a common trap is choosing a fixed large replica count, which wastes resources during off-peak times. Remember that auto-scaling with a sensible cap is the most efficient way to handle variable load without over-provisioning. A helpful memory tip: “Scale smart, not hard—cap the max to guard the card.”
1Z0-1127 Deploying and Managing Generative AI on OCI Practice Question
This 1Z0-1127 practice question tests your understanding of deploying and managing generative ai on oci. The scenario asks you to isolate a root cause — eliminate options that address a different problem before choosing. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.
A company deploys a fine-tuned model on an OCI Generative AI dedicated AI cluster. After deployment, they observe high latency during peak hours. The cluster has only one replica. Which action would most effectively reduce latency without increasing cost unnecessarily?
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Enable auto-scaling with a maximum of 3 replicas.
Enabling auto-scaling with a maximum of 3 replicas (Option B) is the most effective action because it dynamically adds replicas during peak hours to handle increased load, reducing latency, while limiting the maximum to 3 prevents unnecessary cost overruns. This balances performance and cost, unlike a fixed large replica count or switching models, which either wastes resources or fails to address the root cause of insufficient compute capacity.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
✗
Increase the number of replicas to 10.
Why it's wrong here
Too many replicas increase cost unnecessarily without proportional benefit.
✓
Enable auto-scaling with a maximum of 3 replicas.
Why this is correct
Auto-scaling adjusts to demand; a max of 3 provides headroom without waste.
Related concept
Read the scenario before looking for a memorised answer.
✗
Switch to a larger base model.
Why it's wrong here
Larger models typically have higher latency, making the problem worse.
✗
Move to a serverless deployment model.
Why it's wrong here
Serverless may introduce cold starts and not guarantee low latency.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Oracle often tests the misconception that more replicas always reduce latency, but the trap here is that candidates may choose Option A (10 replicas) without considering cost efficiency, while the correct answer requires balancing performance with cost constraints via auto-scaling.
Detailed technical explanation
How to think about this question
OCI Generative AI dedicated AI clusters use GPU-backed replicas for inference; auto-scaling adjusts the replica count based on metrics like CPU utilization or request queue depth, with a cooldown period to avoid thrashing. Under the hood, the OCI Load Balancer distributes requests across replicas, and auto-scaling policies can be configured with minimum and maximum replica limits to optimize throughput and cost. In a real-world scenario, a single replica might handle 100 requests per second (RPS) with 200ms latency, but during peak hours, 300 RPS could cause queuing and latency spikes; auto-scaling to 3 replicas would distribute load to maintain sub-100ms latency without over-provisioning.
KKey Concepts to Remember
Read the scenario before looking for a memorised answer.
Find the constraint that changes the correct option.
Eliminate answers that are true in general but not in this case.
TExam Day Tips
→Watch for words such as best, first, most likely and least administrative effort.
→Review why wrong options are wrong, not only why the correct option is correct.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
How this comes up in practice
A practitioner preparing for the 1Z0-1127 exam encounters this exact type of scenario on the job. The correct answer here is not the most general option — it is the best answer for the specific constraint described. Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option. Real exam questions reward reading the full scenario before eliminating options, because the constraint defines which answer fits.
What to study next
Got this wrong? Here's your next step.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
Deploying and Managing Generative AI on OCI — This question tests Deploying and Managing Generative AI on OCI — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Enable auto-scaling with a maximum of 3 replicas. — Enabling auto-scaling with a maximum of 3 replicas (Option B) is the most effective action because it dynamically adds replicas during peak hours to handle increased load, reducing latency, while limiting the maximum to 3 prevents unnecessary cost overruns. This balances performance and cost, unlike a fixed large replica count or switching models, which either wastes resources or fails to address the root cause of insufficient compute capacity.
What should I do if I get this 1Z0-1127 question wrong?
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
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Question Discussion
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