Question 944 of 991

Using OCI Generative AI Service →hardMultiple 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. This is a configuration task: choose the command set that satisfies every stated requirement. Small differences — like 'secret' vs 'password' or 'transport input ssh' vs 'all' — change whether the answer is correct. 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 multinational corporation plans to deploy OCI Generative AI in multiple OCI regions for disaster recovery. They have fine-tuned a custom model in the primary region. What is the recommended approach to make the fine-tuned model available in the secondary region with minimal manual effort?

Clue words in this question

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

Clue: "primary"
Why it matters: Asks for the main purpose or function, not a secondary benefit. Eliminate answers that describe side-effects or partial functions.

A
Create an IAM policy to allow cross-region access to the model from the secondary region.
Why wrong: Policies can grant access but the model artifact must be physically present in the region.
B
Use OCI Cross-Region Replication for the model's underlying object storage bucket and the dedicated AI cluster.
Why wrong: CRR replicates objects but does not automatically replicate the dedicated cluster configuration.
C
Redeploy the fine-tuning job in the secondary region using the same training data.
Why wrong: This is inefficient and duplicates effort; the model can be copied.
D
Copy the model artifact to the secondary region's object storage bucket and create a new dedicated endpoint there.
This leverages existing model artifacts and can be automated with OCI CLI or SDK.

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

✓

Copy the model artifact to the secondary region's object storage bucket and create a new dedicated endpoint there.

Option D is correct because the recommended approach to make a fine-tuned custom model available in a secondary OCI region with minimal manual effort is to copy the model artifact (the trained weights and configuration files) to the secondary region's object storage bucket and then create a new dedicated endpoint there. This avoids re-running the expensive fine-tuning job and leverages OCI's object storage cross-region copy capabilities, while the dedicated AI cluster in the secondary region can serve the model directly from the copied artifact.

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.

✗
Create an IAM policy to allow cross-region access to the model from the secondary region.
Why it's wrong here
Policies can grant access but the model artifact must be physically present in the region.
✗
Use OCI Cross-Region Replication for the model's underlying object storage bucket and the dedicated AI cluster.
Why it's wrong here
CRR replicates objects but does not automatically replicate the dedicated cluster configuration.
✗
Redeploy the fine-tuning job in the secondary region using the same training data.
Why it's wrong here
This is inefficient and duplicates effort; the model can be copied.
✓
Copy the model artifact to the secondary region's object storage bucket and create a new dedicated endpoint there.
Why this is correct
This leverages existing model artifacts and can be automated with OCI CLI or SDK.
Clue confirmation
The clue word "primary" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.

Common exam traps

Common exam trap: answer the scenario, not the keyword

OCI often tests the misconception that cross-region replication of storage automatically makes the compute service (like a dedicated AI cluster) available in the secondary region, but in reality, the cluster is a separate resource that must be explicitly created and configured to use the replicated artifact.

Detailed technical explanation

How to think about this question

Under the hood, a fine-tuned model in OCI Generative AI is stored as a set of model artifacts (weights, tokenizer config, etc.) in an object storage bucket, and the dedicated AI cluster is a managed compute environment that loads these artifacts to serve inference. Copying the artifact to a secondary region's bucket and creating a new dedicated endpoint there leverages the same trained weights without re-training, which is critical for disaster recovery scenarios where RTO (Recovery Time Objective) must be minimized. A real-world scenario where this matters is a financial services firm that needs to failover inference traffic to a secondary region within minutes during a primary region outage.

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: Copy the model artifact to the secondary region's object storage bucket and create a new dedicated endpoint there. — Option D is correct because the recommended approach to make a fine-tuned custom model available in a secondary OCI region with minimal manual effort is to copy the model artifact (the trained weights and configuration files) to the secondary region's object storage bucket and then create a new dedicated endpoint there. This avoids re-running the expensive fine-tuning job and leverages OCI's object storage cross-region copy capabilities, while the dedicated AI cluster in the secondary region can serve the model directly from the copied artifact.

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: "primary". Asks for the main purpose or function, not a secondary benefit. Eliminate answers that describe side-effects or partial functions.

What is the key concept behind this question?

Read the scenario before looking for a memorised answer.

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