Question 544 of 991

Using OCI Generative AI Service →mediumMultiple ChoiceObjective-mapped

1Z0-1127 Using OCI Generative AI Service Practice Question

This 1Z0-1127 practice question tests your understanding of using oci generative ai service. 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 healthcare company is deploying an OCI Generative AI service to summarize patient notes. They have recently moved from a managed serving endpoint to a dedicated AI cluster to ensure data privacy. The fine-tuned model is deployed on a dedicated cluster in the US West region. Users report that the summarization responses are now slower and occasionally timeout. The IT team checks the metrics: the cluster has 1 replica and CPU utilization is at 90%. The Object Storage bucket containing the model artifacts is in the same region. They have increased the timeout in their client configuration to 120 seconds, but still get timeouts. What should they do first to address the issue?

Clue words in this question

Noticing these words before you look at the options changes how you read each choice.

Clue: "first"
Why it matters: Order matters here. You are being tested on which action comes before the others — not which action is generally useful.

A
Move the Object Storage bucket to a local NVMe cache in the cluster.
Why wrong: Dedicated clusters do not have local NVMe cache for Object Storage; model is loaded at startup.
B
Move the model back to a managed serving endpoint in a different region.
Why wrong: This would compromise data privacy and may not improve latency due to geographic distance.
C
Increase the number of replicas in the dedicated cluster.
Adding replicas provides more compute capacity to handle the load.
D
Increase the max tokens parameter in the API call.
Why wrong: Increasing max tokens will produce longer outputs, worsening performance.

Full breakdown with real-world context →

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

✓

Increase the number of replicas in the dedicated cluster.

The dedicated AI cluster has only 1 replica and CPU utilization is at 90%, indicating that the single replica is overloaded and cannot handle the inference request volume. Increasing the number of replicas distributes the load, reduces latency, and prevents timeouts. This is the most direct and scalable fix for performance bottlenecks in a dedicated OCI Generative AI cluster.

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.

✗
Move the Object Storage bucket to a local NVMe cache in the cluster.
Why it's wrong here
Dedicated clusters do not have local NVMe cache for Object Storage; model is loaded at startup.
✗
Move the model back to a managed serving endpoint in a different region.
Why it's wrong here
This would compromise data privacy and may not improve latency due to geographic distance.
✓
Increase the number of replicas in the dedicated cluster.
Why this is correct
Adding replicas provides more compute capacity to handle the load.
Clue confirmation
The clue word "first" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
✗
Increase the max tokens parameter in the API call.
Why it's wrong here
Increasing max tokens will produce longer outputs, worsening performance.

Common exam traps

Common exam trap: answer the scenario, not the keyword

The trap here is that candidates may focus on storage or client-side tuning (like timeout or token limits) instead of recognizing that a single overloaded replica is the root cause of performance degradation.

Trap categories for this question

Command / output trap
Increasing max tokens will produce longer outputs, worsening performance.

Detailed technical explanation

How to think about this question

Under the hood, OCI Dedicated AI Clusters use autoscaling groups of GPU or CPU instances; with only 1 replica and 90% CPU utilization, the inference server is queueing requests, leading to HTTP 504 timeouts. Increasing replicas horizontally scales the serving capacity, allowing concurrent requests to be processed in parallel. In practice, monitoring metrics like request latency percentiles (p99) and replica CPU/memory utilization helps determine the optimal replica count.

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.

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FAQ

Questions learners often ask

What does this 1Z0-1127 question test?

Using OCI Generative AI Service — This question tests Using OCI Generative AI Service — Read the scenario before looking for a memorised answer..

What is the correct answer to this question?

The correct answer is: Increase the number of replicas in the dedicated cluster. — The dedicated AI cluster has only 1 replica and CPU utilization is at 90%, indicating that the single replica is overloaded and cannot handle the inference request volume. Increasing the number of replicas distributes the load, reduces latency, and prevents timeouts. This is the most direct and scalable fix for performance bottlenecks in a dedicated OCI Generative AI cluster.

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.

Are there clue words in this question I should notice?

Yes — watch for: "first". Order matters here. You are being tested on which action comes before the others — not which action is generally useful.

What is the key concept behind this question?

Read the scenario before looking for a memorised answer.

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