Question 1

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

Options :

A : ConversationImageMemory

B : ConversationBufferMemory

C : ConversationSummaryMemory

D : ConversationTokenBufferMemory

Answer: A

Question 2

Which statement describes the difference between "Top k" and "Top p" in selecting the next token in the OCI Generative AI Generation models?

Options :

A : "Top k" and "Top p" both select from the same set of tokens but use different methods to prioritize them based on frequency.

B : "Top k" and "Top p" are identical in their approach to token selection but differ in their application of penalties to tokens.

C : "Top k" selects the next token based on its position in the list of probable tokens, whereas "Top p" selects based on the cumulative probability of the top tokens.

D : "Top k" considers the sum of probabilities of the top tokens, whereas "Top p" selects from the "Top k" tokens sorted by probability.

Answer: C

Question 3

For tasks requiring text summarization with OCI Generative AI, which of the following pre-trained model capabilities is most relevant?

Options :

A : High accuracy in sentiment analysis for identifying positive/negative emotions.

B : Ability to translate text from one language to another with fluency.

C : Skill in extracting key points and condensing factual information from text.

D : Capacity to generate different creative text formats like poems or

Answer: C

Question 4

When troubleshooting issues with a dedicated AI cluster for OCI Generative AI, where can you access logs and performance metrics for analysis?

Options :

A : The OCI Console provides a dedicated section for cluster monitoring.

B : Logs and metrics are automatically sent to an external monitoring tool.

C : You need to manually configure logging and integrate with a separate service.

D : Performance data is not available for dedicated AI clusters.

Answer: A

Question 5

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

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