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Deploying and Managing Generative AI on OCI practice questions

Practise Oracle Cloud Infrastructure Generative AI Professional 1Z0-1127 Deploying and Managing Generative AI on OCI practice questions — original exam-style scenarios with answer choices, explanations, and analysis of common mistakes.

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Reviewed byJohnson Ajibi· MSc IT Security
20 questionsDomain: Deploying and Managing Generative AI on OCI
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What the exam tests

What to know about Deploying and Managing Generative AI on OCI

Deploying and Managing Generative AI on OCI questions test whether you can apply the concept in context, not just recognise a definition.

How the topic appears in realistic exam-style scenarios.

Which detail in the question changes the correct answer.

How to eliminate plausible but wrong options.

How to connect the question back to the wider exam objective.

Watch out for

Common Deploying and Managing Generative AI on OCI exam traps

  • ▸Answering from memory before reading the full scenario.
  • ▸Missing a constraint such as cost, availability, security, scope or command context.
  • ▸Choosing a broad answer when the question asks for the most specific fix.
  • ▸Ignoring why the wrong options are tempting.

Practice set

Deploying and Managing Generative AI on OCI questions

20 questions · select your answer, then reveal the explanation

Question 1mediummultiple choice
Review the full subnetting walkthrough →

A company is deploying a generative AI service on OCI using the OCI Data Science service with a large language model (LLM) in a VCN. The model inference endpoint must be accessible only from a private subnet within the same VCN. Which networking component should be configured to enable this?

Question 2hardmultiple choice
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A data scientist is fine-tuning a generative AI model on OCI Data Science using a custom container with GPU resources. The training job fails with an out-of-memory error despite the GPU instance having sufficient memory. The job works fine on a smaller dataset. What is the most likely cause?

Question 3easymultiple choice
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An organization wants to deploy a generative AI chatbot using OCI Generative AI service. The chatbot must comply with data residency requirements by ensuring that all data processing occurs within a specific geographic region. What is the best practice to achieve this?

Question 4hardmultiple choice
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A team has deployed a generative AI model using OCI Data Science model deployment. The endpoint is behind a load balancer. Users report that after 5 minutes of inactivity, the first request takes over 30 seconds to respond, while subsequent requests are fast. What is the most likely cause and solution?

Question 5mediummultiple choice
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A company is using OCI Generative AI service with a dedicated AI cluster for text generation. They notice that the latency is higher than expected. The cluster is in the Ashburn region, and users are distributed globally. What is the most effective way to reduce latency?

Question 6hardmultiple choice
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A machine learning engineer is deploying a fine-tuned Llama 2 model on OCI Data Science model deployment. The deployment fails with an error: 'Model artifact exceeds the maximum allowed size of 10 GB.' The model files total 12 GB. What is the best approach to resolve this?

Question 7easymultiple choice
Study the full Python automation breakdown →

A developer wants to call the OCI Generative AI service from a Python application running on an OCI Compute instance. Which method is the most secure for authenticating the API calls?

Question 8mediummulti select
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Which TWO actions are recommended best practices for managing costs when using OCI Generative AI dedicated AI clusters?

Question 9hardmulti select
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Which THREE components are required to deploy a custom generative AI model on OCI Data Science model deployment?

Question 10easymulti select
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Which TWO are valid methods to monitor the performance of a generative AI model deployed on OCI Data Science?

Question 11mediummultiple choice
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An administrator runs the above CLI command to check the status of a dedicated AI cluster. The cluster is ACTIVE with capacity 10. However, a user reports that inference requests to this cluster are failing with a '429 Too Many Requests' error. What is the most likely cause?

Exhibit

Refer to the exhibit.

```
$ oci generative-ai dedicated-ai-cluster get --dedicated-ai-cluster-id ocid1.dedicatedaicluster.oc1.iad.xxxxx
{
  "data": {
    "capacity": 10,
    "id": "ocid1.dedicatedaicluster.oc1.iad.xxxxx",
    "lifecycle-state": "ACTIVE",
    "time-created": "2024-01-15T10:00:00Z",
    "time-updated": "2024-01-15T10:00:00Z"
  }
}
```
Question 12hardmultiple choice
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A security administrator wrote the above IAM policy for a compartment named MyCompartment. Users in the GenerativeAIUsers group can successfully list dedicated AI clusters and models in MyCompartment, but when they try to create an inference endpoint using a model from a different compartment (SharedModels), they get an authorization error. What is the most likely missing policy statement?

Exhibit

Refer to the exhibit.

```
{
  "statements": [
    "ALLOW GROUP GenerativeAIAdmins TO USE generative-ai-family IN TENANCY",
    "ALLOW GROUP GenerativeAIUsers TO USE generative-ai-dedicated-ai-clusters IN COMPARTMENT MyCompartment",
    "ALLOW GROUP GenerativeAIUsers TO USE generative-ai-models IN COMPARTMENT MyCompartment"
  ]
}
```
Question 13hardmultiple choice
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A company has deployed a generative AI model on OCI to generate product descriptions. After a recent update, the model started producing outputs with repetitive phrases and poor coherence. The inference endpoint is configured with default parameters. Which single parameter adjustment is most likely to improve output quality?

Question 14easymultiple choice
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An organization wants to fine-tune a large language model on OCI using their proprietary data. They are concerned about data privacy and want to ensure that fine-tuning data does not leave the OCI region. Which OCI service should they use to securely store and manage their training data?

Question 15mediummultiple choice
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A data scientist is deploying a custom generative AI model using OCI Data Science. After deploying the model to an endpoint, they notice that inference requests are failing with a timeout error when the payload size exceeds 1 MB. What is the most likely cause and solution?

Question 16hardmultiple choice
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A company is using OCI Generative AI service to power a customer support chatbot. They observe that the chatbot sometimes provides outdated information because the model was trained on data up to 2022. They want to incorporate real-time knowledge without retraining the model. Which approach should they use?

Question 17mediummultiple choice
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A team is deploying a generative AI model using OCI Functions for serverless inference. They are experiencing cold start latency of over 10 seconds for the first invocation after idle periods. What is the best strategy to reduce cold start latency?

Question 18easymultiple choice
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An administrator needs to ensure that only specific users in the finance department can invoke a generative AI model deployed on OCI. Which IAM policy should be used?

Question 19mediummulti select
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A company is deploying a large generative AI model on OCI using GPU compute instances. They want to optimize inference cost while maintaining acceptable latency. Which TWO strategies should they implement?

Question 20hardmulti select
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A team is fine-tuning a generative AI model on OCI using a custom dataset. The training job fails with an out-of-memory error. Which THREE actions should they take to resolve this issue?

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Frequently asked questions

What does the 1Z0-1127 exam test about Deploying and Managing Generative AI on OCI?
Deploying and Managing Generative AI on OCI questions test whether you can apply the concept in context, not just recognise a definition.
How should I use these practice questions?
Select your answer before revealing the explanation. Then read why each option is right or wrong — this active recall approach builds retention far faster than re-reading notes.
Can I practise just Deploying and Managing Generative AI on OCI questions in a focused session?
Yes — the session launcher on this page draws every question from the Deploying and Managing Generative AI on OCI domain. Use a 10-question session first to gauge your baseline, then move to 20 or 30 once the weak spots are clear.
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Are these real exam questions or dumps?
These are original practice questions written to test the same concepts the 1Z0-1127 exam covers. They are not copied from any real exam or dump site.