Question 1

Which role does a "model endpoint" serve in the inference workflow of the OCI Generative AI service?

Options :

A : Hosts the training data for fine-tuning custom models

B : Updates the weights of the base model during the fine-tuning process

C : Serves as a designated point for user requests and model responses

D : Evaluates the performance metrics of the custom models

Answer: C

Question 2

What issue might arise from using small data sets with the Vanilla fine-tuning method in the OCI Generative AI service?

Options :

A : Model Drift

B : Data Leakage

C : Underfitting

D : Overfitting

Answer: C

Question 3

What does "k-shot prompting" refer to when using Large Language Models for task-specific applications?

Options :

A : Explicitly providing k examples of the intended task in the prompt to guide the model’s output

B : Limiting the model to only k possible outcomes or answers for a given task

C : Providing the exact k words in the prompt to guide the model’s response

D : The process of training the model on k different tasks simultaneously to improve its versatility

Answer: A

Question 4

Which of the following is NOT a common application of Large Language Models (LLMs)?

Options :

A : Chatbots and virtual assistants

B : Machine translation of languages

C : Anomaly detection in network traffic

D : Content creation and text summarization

Answer: C

Question 5

Which is NOT a built-in memory type in LangChain?

Options :

A : ConversationImageMemory

B : ConversationBufferMemory

C : ConversationSummaryMemory

D : ConversationTokenBufferMemory

Answer: A

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