최신IBM watsonx Generative AI Engineer - Associate - C1000-185무료샘플문제
문제1
You are tasked with explaining the outcomes produced by a Watsonx Generative AI model based on specific prompts.
Which of the following approaches is most effective in ensuring transparency and understanding of how the model arrives at its decisions?
You are tasked with explaining the outcomes produced by a Watsonx Generative AI model based on specific prompts.
Which of the following approaches is most effective in ensuring transparency and understanding of how the model arrives at its decisions?
정답: A
문제2
You're developing a generative AI system for a medical diagnosis application that uses patient data. Your responsibility includes designing prompts that extract valuable insights without exposing sensitive patient information.
Which of the following steps is the most effective way to reduce model risks related to privacy while ensuring useful outputs from the AI?
You're developing a generative AI system for a medical diagnosis application that uses patient data. Your responsibility includes designing prompts that extract valuable insights without exposing sensitive patient information.
Which of the following steps is the most effective way to reduce model risks related to privacy while ensuring useful outputs from the AI?
정답: B
문제3
You are tasked with generating synthetic data for fine-tuning a large language model (LLM) using the IBM Watsonx User Interface. You want to generate relevant training samples to improve the model's accuracy in a text classification task.
Which action should you prioritize to generate high-quality synthetic data using the interface?
You are tasked with generating synthetic data for fine-tuning a large language model (LLM) using the IBM Watsonx User Interface. You want to generate relevant training samples to improve the model's accuracy in a text classification task.
Which action should you prioritize to generate high-quality synthetic data using the interface?
정답: C
문제4
You are optimizing the generative AI model in IBM watsonx to balance creativity and coherence. You want to use a decoding method that dynamically adjusts the token probability threshold based on cumulative probabilities, thus ensuring the model generates coherent outputs while still allowing for some creativity.
Which parameter should you adjust, and what is the optimal setting?
You are optimizing the generative AI model in IBM watsonx to balance creativity and coherence. You want to use a decoding method that dynamically adjusts the token probability threshold based on cumulative probabilities, thus ensuring the model generates coherent outputs while still allowing for some creativity.
Which parameter should you adjust, and what is the optimal setting?
정답: C
문제5
When setting up a tuning experiment in IBM watsonx's Tuning Studio, which of the following best describes the process for optimizing a model's hyperparameters?
When setting up a tuning experiment in IBM watsonx's Tuning Studio, which of the following best describes the process for optimizing a model's hyperparameters?
정답: A
문제6
Prompt Lab in IBM Watsonx Generative AI offers several advantages for AI prompt engineering.
Which of the following best describes a primary benefit of using the Prompt Lab feature?
Prompt Lab in IBM Watsonx Generative AI offers several advantages for AI prompt engineering.
Which of the following best describes a primary benefit of using the Prompt Lab feature?
정답: B
문제7
You are fine-tuning a large language model (LLM) with InstructLab to generate high-quality summaries for long-form text documents.
After conducting an initial experiment, the performance seems suboptimal, particularly on technical documents with specialized vocabulary.
What steps could you take to improve the fine-tuning process to achieve better performance? (Select two)
You are fine-tuning a large language model (LLM) with InstructLab to generate high-quality summaries for long-form text documents.
After conducting an initial experiment, the performance seems suboptimal, particularly on technical documents with specialized vocabulary.
What steps could you take to improve the fine-tuning process to achieve better performance? (Select two)
정답: D,E
문제8
You are designing a prompt template for generating personalized marketing emails using IBM Watsonx. The emails need to be engaging, personalized based on customer data, and must include a clear call to action.
Which of the following is the best structure for a prompt template that can be reused to generate such emails?
You are designing a prompt template for generating personalized marketing emails using IBM Watsonx. The emails need to be engaging, personalized based on customer data, and must include a clear call to action.
Which of the following is the best structure for a prompt template that can be reused to generate such emails?
정답: D
문제9
When selecting parameters to optimize a prompt-tuned model experiment in IBM watsonx, which parameter is the most critical for controlling the model's ability to generate coherent and contextually accurate responses?
When selecting parameters to optimize a prompt-tuned model experiment in IBM watsonx, which parameter is the most critical for controlling the model's ability to generate coherent and contextually accurate responses?
정답: D