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New IBM C1000-185 Dumps Book - C1000-185 Valid Test Notes

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IBM watsonx Generative AI Engineer - Associate Sample Questions (Q338-Q343):

NEW QUESTION # 338
A generative AI model designed for healthcare content generation is being evaluated for ethical risks. The model tends to give preference to certain demographic groups when recommending treatments.
What is the most effective method to identify and mitigate this bias during the prompt engineering phase?

A. Adjust the temperature to 1.0 to ensure the model generates more balanced and less biased outputs.
B. Use adversarial debiasing techniques to adjust the model's internal representations during training.
C. Train the model on a smaller dataset that excludes demographic information, to remove bias from its learned patterns.
D. Limit the model's context window to prevent it from over-relying on demographic information.

Answer: B

NEW QUESTION # 339
What is a key benefit of using Prompt Lab in IBM Watsonx to build reusable prompts for generative AI applications?

A. Prompt Lab automatically adjusts prompts based on the user's previous interactions, ensuring personalized output.
B. Prompt Lab uses predefined responses to train the model, eliminating the need for further prompt experimentation.
C. Prompt Lab allows for the creation of templates with dynamic placeholders, making it easier to reuse prompts in various contexts without modification.
D. Prompt Lab uses machine learning to automatically improve prompts over time without the need for developer intervention.

Answer: C

NEW QUESTION # 340
In the context of sampling decoding for IBM Watsonx Generative AI, which of the following statements best describes how top-k sampling works?

A. Top-k sampling automatically filters out low-probability tokens that were not part of the model's training set.
B. Top-k sampling ensures that the next token is chosen only if it matches one of the predefined input variables.
C. Top-k sampling selects the token with the highest probability, ignoring all other token options.
D. Top-k sampling selects the next token only from the top k most probable tokens based on their probabilities.

Answer: D

NEW QUESTION # 341
You are tasked with deploying a custom prompt template in an enterprise environment.
What is the most critical first step in defining the deployment lifecycle to meet client needs?

A. Deploy the prompt template directly to production to get rapid feedback
B. Define the monitoring and feedback mechanisms for the prompt's performance
C. Establish a model selection strategy for each prompt template
D. Identify the operational requirements and business constraints

Answer: D

NEW QUESTION # 342
You are working on tuning a generative AI model in IBM watsonx.ai for better performance in generating conversational responses. You have been asked to add new data to the project.
What is the most effective approach to adding data for model tuning?

A. Add unstructured data with no labels for semi-supervised learning
B. Add new labeled training data that closely resembles the use case scenarios
C. Add only the test set data to ensure robust evaluation of the model
D. Add only outlier data to improve the model's ability to handle edge cases

Answer: B

NEW QUESTION # 343
......

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