Question 1

Which is NOT a typical use case for LangSmith Evaluators?

Options :

A : Measuring coherence of generated text

B : Assessing code readability

C : Detecting bias or toxicity

D : Evaluating factual accuracy of outputs

Answer: B

Question 2

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 3

After fine-tuning a model in a dedicated AI cluster, which option allows you to deploy the model for real-world use cases?

Options :

A : Directly exporting the model from the cluster for local deployment.

B : Configuring the cluster for continuous inference on incoming requests.

C : Saving the fine-tuned model as a file and uploading it to a separate service.

D : Creating an endpoint within the dedicated AI cluster for model access.

Answer: D

Question 4

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

Options :

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

Question 5

When designing a LangChain model for summarizing factual topics, which element would be most crucial to optimize for accuracy?

Options :

A : The specific programming language used to interact with the OCI Generative AI service.

B : The choice of a creative and engaging writing style for the prompts.

C : The selection of an appropriate dataset for pre-training the LLM model.

D : The configuration of memory size to hold all intermediate generation outputs

Answer: C

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