Question 1

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

Options :

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

How does the architecture of dedicated AI clusters contribute to minimizing GPU memory overhead for T-Few fine-tuned model inference?

Options :

A : By sharing base model weights across multiple fine-tuned models on the same group of GPUs

B : By optimizing GPU memory utilization for each model’s unique parameters

C : By allocating separate GPUs for each model instance

D : By loading the entire model into GPU memory for efficient processing

Answer: A

Question 3

Which of the following statements accurately describes the relationship between chain depth and complexity in LangChain models?

Options :

A : A deeper chain always leads to more complex and nuanced outputs.

B : Increasing chain depth can inadvertently introduce errors through output propagation.

C : A shallow chain is ideal for tasks requiring high levels of creative exploration.

D : The optimal chain depth depends on the specific task and desired output complexity.

Answer: D

Question 4

How can fine-tuning an LLM model with OCI Generative AI contribute to improved performance of semantic search in your application?

Options :

A : By enabling the LLM to directly generate documents based on semantic similarity.

B : By allowing the LLM to interpret the retrieved documents and provide more context-aware responses.

C : By improving the accuracy of vector representations generated for the documents in the database.

D : By optimizing the search algorithms used by the vector database for specific LLM tasks.

Answer: B

Question 5

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

Options :

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

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