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Total 146 Questions | Updated On: Nov 21, 2024

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Question 1

How does the Retrieval-Augmented Generation (RAG) Token technique differ from RAG Sequence when generating a model’s response?

A : RAG Token retrieves relevant documents for each part of the response and constructs the answer incrementally.

B : Unlike RAG Sequence, RAG Token generates the entire response at once without considering individual parts.

C : RAG Token retrieves documents only at the beginning of the response generation and uses those for the entire content.

D : RAG Token does not use document retrieval but generates responses based on pre-existing knowledge only.

Answer: A

Question 2

When considering access control for OCI Generative AI resources, what role does IAM play?

A : IAM provides built-in security policies for all Generative AI functionalities.

B : IAM allows defining granular access permissions for users and groups.

C : IAM automatically authenticates users interacting with the Generative AI service.

D : IAM encrypts data at rest within the OCI Generative AI environment.

Answer: B

Question 3

Given the following code: Prompt Template (input_variable[‘’rhuman_input",'city’’], template-template) Which statement is true about Promt Template in relation to input_variables?

A : PromptTemplate requires a minimum of two variables to function property.

B : PromptTemplate can support only a single variable M a time.

C : PromptTemplate supports Any number of variable*, including the possibility of having none.

D : PromptTemplate is unable to use any variables.

Answer: C

Question 4

During the deployment of an LLM application with OCI Generative AI, which of the following considerations is the LEAST relevant for monitoring purposes?

A : Model inference latency

B : Application throughput

C : Resource utilization of the deployment environment

D : The size of the training dataset used for the LLM model

Answer: D

Question 5

When using the OCI Generative AI service playground, which of the following functionalities is NOT available?

A : Experimenting with pre-trained models for text generation and summarization.

B : Training a custom LLM from scratch on your uploaded dataset.

C : Fine-tuning a pre-trained model with a small amount of data using T-Few.

D : Deploying a fine-tuned model as an endpoint for real-world applicatio

Answer: B

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Total 146 Questions | Updated On: Nov 21, 2024

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