1Z0-1127 Practice Test 8 — 10 Questions

Question 1

A developer is reviewing the model card for an LLM on OCI Generative AI and notices it was trained on a dataset that is predominantly English. The application will serve users in multiple languages. What is the most likely limitation of using this model without additional steps?

Accepted Answer

The model may produce lower quality responses in non-English languages.. Option B is correct because a model trained mainly on English may perform poorly on non-English inputs due to biased language representations. Option A (always hallucinating) is not specific to language. Option C (token limit reduced) is unrelated. Option D (embedding quality drop) is a possibility but the primary limitation is language coverage.

Answer

The embedding vectors will be less accurate for any language.

Answer

The model will hallucinate facts more frequently.

Answer

The context window size will be effectively reduced.

Question 2

Based on the exhibit, what is the primary action the developer must take to successfully make the inference request?

Accepted Answer

Reduce max_new_tokens to 2000 to stay within the context length.. Option B is correct because the total (6000 + 4000 = 10000) exceeds 8192. Reducing max_new_tokens or prompt length lowers the total. Option A (increase max_new_tokens) worsens it. Option C (change region) is irrelevant. Option D (ignore and retry) will fail again.

Answer

Increase max_new_tokens to 5000 to get a longer response.

Answer

Ignore the error and retry the request.

Answer

Switch to a model in a different region.

Question 3

Which TWO of the following are benefits of using OCI Generative AI service compared to self-hosting an LLM?

Accepted Answer

Built-in content safety filters. Options A and C are correct. OCI Generative AI provides automatic scaling (A) and built-in content safety filters (C). Self-hosting gives full control over weights (B) and may have lower latency if optimized (D is not always true). Data egress costs (E) may still apply.

Answer

Lower latency always

Answer

No data egress costs

Answer

Full control over model weights

Question 4

A model generates code with security issues. Which approach is best to mitigate this?

Accepted Answer

Add a system prompt with security guidelines. Adding a system prompt with security guidelines (option C) instructs the model to follow best practices, directly addressing security concerns without changing model training.

Answer

Reduce max_tokens

Answer

Increase temperature

Answer

Use a different model

Question 5

Refer to the exhibit. A user deployed a custom model via OCI Data Science and registered it in the Model Catalog. They use the correct OCID but get this error. What is the most likely issue?

Accepted Answer

The model is not deployed to an endpoint. A model must be deployed to an endpoint to be accessible via the inference API. Registration in the Model Catalog alone does not create an endpoint. Option A is correct.

Answer

The model is not fine-tuned

Answer

The compartment OCID is missing

Answer

The model is in a different region

Question 6

An OCI GenAI practitioner wants to deploy a model that can generate code from natural language descriptions. Which type of model is most suitable?

Accepted Answer

GPT. GPT models (decoder-only) are designed for text generation, including code generation. BERT is encoder-only, T5 is encoder-decoder but not as optimized for code, and ResNet is for images.

Answer

T5

Answer

ResNet

Answer

BERT

Question 7

An application using OCI GenAI experiences high response times. Which change will most directly reduce latency?

Accepted Answer

Reduce the number of output tokens requested.. Option A is correct because reducing the number of output tokens directly speeds up generation. Option B increases latency, Option C may not affect latency, and Option D helps throughput but not individual request latency.

Answer

Increase the max tokens parameter.

Answer

Switch to a fine-tuned version of the same model.

Answer

Enable batched inference.

Question 8

An enterprise wants to deploy a large language model for processing sensitive internal documents. They must ensure that data does not leave their OCI tenancy. Which OCI GenAI deployment option meets this requirement?

Accepted Answer

Dedicated AI Cluster with on-demand model hosting. Option B is correct because a Dedicated AI Cluster provides isolated compute resources within the customer's tenancy, ensuring data stays within tenancy boundaries. Option A is wrong because the default API endpoint may use shared infrastructure. Option C is wrong because third-party models via Marketplace may not guarantee data isolation. Option D is wrong because the console is just a management interface, not a deployment option.

Answer

Using a third-party model via OCI Marketplace

Answer

Accessing models through OCI Console only

Answer

Using the OCI GenAI API with the default endpoint

Question 9

A developer wants to use the OCI Generative AI service to generate text using a Cohere model. Which SDK class should be used for inference calls?

Accepted Answer

GenerativeAiInferenceClient. Option B is correct because the GenerativeAiInferenceClient is the dedicated client for inference operations in the OCI Python SDK. Option A is incorrect because GenerativeAiClient is for managing models and endpoints, not inference. Option C is incorrect because it's a generic term. Option D is incorrect because it's for managing custom models.

Answer

CustomModelClient

Answer

AiInferenceClient

Answer

GenerativeAiClient

Question 10

A user has attached an IAM policy granting access to the generative-ai-family resource type, but API calls to the Generative AI service return a 403 Forbidden error. What is the most likely cause?

Accepted Answer

The policy does not specify the correct compartment or resource.. Option C is correct because OCI Generative AI resources are compartment-scoped, and if the policy does not specify the correct compartment, access is denied. Option A is incorrect because the policy allows the resource type. Option B is incorrect because Dedicated AI Cluster is not a prerequisite for managed inference. Option D is incorrect because the policy already includes the service.

Answer

The service is not enabled in the tenancy.

Answer

The policy does not include the 'use' verb for the resource type.

Answer

The user has not created a Dedicated AI Cluster.