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最新的 IBM Certified watsonx Generative AI Engineer - Associate C1000-185 免費考試真題:

1. When conducting prompt engineering to reduce model risks related to hate speech and abusive content, which of the following strategies is least likely to be effective?

A) Creating a reward model during Reinforcement Learning to penalize hate speech outputs
B) Increasing the temperature during text generation to encourage more creative outputs
C) Applying ethical guidelines during the fine-tuning of the model to prioritize inclusive language
D) Modifying the prompt to include explicit instructions for civil language

2. 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?

A) Set temperature to 1.5 and top-p to 0.9
B) Set temperature to 0 and top-p to 0.5
C) Set temperature to 1 and top-p to 0.2
D) Set top-p to 0.9 and temperature to 0.7

3. You are working on a project where the AI model needs to generate personalized customer support responses based on various input fields like customer name, issue type, and product details. To make the system scalable and flexible, you decide to use prompt variables in your implementation.
Which of the following statements accurately describe the benefits of using prompt variables in this scenario? (Select two)

A) Prompt variables eliminate the need for fine-tuning the model on specific tasks since they allow on-the-fly customization of responses.
B) Prompt variables require a complete re-training of the model whenever a new variable is introduced, which can be time-consuming.
C) Using prompt variables allows the model to dynamically adjust its output based on context, without requiring multiple task-specific prompts.
D) Prompt variables reduce redundancy by allowing dynamic inputs to be injected into a single prompt template, improving scalability.
E) Prompt variables improve the model's performance by optimizing its internal architecture, reducing computation time for each request.

4. What is one primary advantage of using Prompt Lab in IBM Watsonx when evaluating prompt variations for a generative AI model?

A) Prompt Lab automatically selects the best performing prompt based on predefined metrics without any user input.
B) Prompt Lab automatically generates prompts based on the dataset, requiring minimal manual input from developers.
C) Prompt Lab enables side-by-side comparisons of multiple prompt variations, allowing developers to evaluate different formulations in a systematic manner.
D) Prompt Lab allows users to lock the output for each prompt, ensuring deterministic results across different runs.

5. You are tasked with building a generative AI model to help create automated marketing copy for a business. A key concern is the potential generation of biased or legally sensitive content, which could negatively impact the company's reputation.
Which of the following strategies would be the most effective in mitigating these model risks?

A) Use reinforcement learning to fine-tune the model based on user feedback to eliminate bias in the long term.
B) Use a comprehensive training dataset that includes diverse business domains to reduce biases.
C) Implement a post-processing filter to remove any potentially offensive or legally sensitive content.
D) Include fairness metrics in the model evaluation stage to monitor for biased outputs.

問題與答案：