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IBM watsonx Generative AI Engineer - Associate Sample Questions:

1. You are tasked with designing a prompt to translate a sentence from English to French using an AI model.
Which of the following prompt would best guide the AI to achieve accurate translation, while maintaining cultural nuance and avoiding literal word-for-word translation?

A) "Translate the following sentence from English to French: 'The weather is nice today.'"
B) "Translate the sentence 'The weather is nice today' into French and make sure to avoid literal translation, focusing on cultural nuances."
C) "Translate 'The weather is nice today' to French but ensure that the translation reflects word-for-word accuracy and no cultural considerations."
D) "Explain the meaning of 'The weather is nice today' in French."

2. Which of the following decoding strategies would most likely result in generating creative and diverse text outputs while minimizing repetition, when using a generative AI model?

A) Beam Search Decoding with a small beam size (e.g., 2)
B) Nucleus Sampling (Top-p) with p = 0.9
C) Greedy Decoding
D) Temperature Sampling with temperature = 0.0

3. A client has deployed a generative AI model to generate technical support responses for various issues in their product line. To improve the accuracy of the responses, they have been using tuned prompts for each type of technical issue (e.g., network issues, hardware failures). However, the client is concerned about occasional misclassifications when the prompts are reused across similar but distinct issues. They want to optimize the prompts to handle edge cases better without sacrificing the response speed.
What approach would be most appropriate for managing and optimizing these tuned prompts?

A) Leverage prompt chaining, where an initial general prompt narrows down the issue type, followed by a more specific tuned prompt for the final response.
B) Use a single tuned prompt for each product category, apply top-p sampling, and rely on post-processing to correct any misclassifications.
C) Use a single general prompt, apply greedy decoding, and manually edit outputs for any misclassifications.
D) Create highly specific prompts for each possible issue, fine-tune the model on each prompt, and prioritize correctness over speed.

4. You are tasked with generating reproducible and consistent results for a particular GenAI model prompt during development and testing.
Which of the following is the primary model parameter to adjust in order to ensure that identical inputs produce identical outputs every time the model is run?

A) Random Seed
B) Temperature
C) Top-p (Nucleus Sampling)
D) Max Tokens

5. You are tasked with designing a prompt to fine-tune an IBM Watsonx model to summarize legal documents. The summaries must include only factual information, highlight key legal terms, and exclude any personal interpretations or subjective analysis.
Which of the following is the best prompt to achieve this goal?

A) "Create a brief summary of this legal document, ensuring to exclude any legal jargon and simplifying the content for a layperson audience."
B) "Generate a detailed and engaging summary of this legal document, adding your insights to clarify complex legal points for the reader."
C) "Provide a summary of this legal document, focusing on factual information, including key legal terms and avoiding personal interpretation or subjective analysis."
D) "Summarize this legal document, focusing on key arguments and providing an analysis of the potential outcomes of the case."

Solutions: