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IBM watsonx Generative AI Engineer - Associate Sample Questions:

1. You are building a chatbot using a generative AI model for a medical advice platform. During testing, you notice that the model occasionally generates medical information that contradicts established guidelines. This is an example of a model hallucination.
Which prompt engineering technique would best mitigate the risk of hallucination in this scenario?

A) Implementing zero-shot learning techniques
B) Using more open-ended prompts
C) Increasing the model's temperature parameter
D) Providing a list of credible sources in the prompt

2. You are working on a large-scale enterprise application using IBM watsonx and need to ensure that different versions of your generative AI model prompts are properly managed for deployment.
Which of the following is the most appropriate action when planning the deployment of prompt versions?

A) Store all prompt versions directly in the model's code repository, updating the main branch with each new version.
B) Keep prompt versions in an external document management system and manually track which versions are deployed in the application.
C) Use a deployment space in IBM watsonx to version your prompts, assigning unique tags to each version and ensuring rollback capabilities.
D) Embed the prompt version directly into the API request body so that the deployed model can select the correct prompt dynamically at runtime.

3. 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?

A) Gradient clipping
B) Learning rate
C) Dropout rate
D) Batch size

4. You are tasked with creating a prompt template for generating environment descriptions in a generative AI model, which will be used for creating immersive virtual spaces.
Which of the following prompt best serves as a flexible template to generate diverse environment descriptions?

A) "Write about a dense jungle where wild animals roam freely, and the atmosphere is tense, full of suspense."
B) "Describe an environment where {mood} dominates, with {surroundings} contributing to the overall {atmosphere}. Include {time_of_day} and any other important details."
C) "Create a detailed description of a quiet forest during sunrise, focusing on the natural beauty of the trees, birds, and atmosphere."
D) "Describe a futuristic city with towering skyscrapers and flying cars."

5. A healthcare organization is deploying a generative AI model to assist in summarizing patient records. Given the sensitivity of patient data, the model must not output Personally Identifiable Information (PII) such as names, addresses, or Social Security numbers.
Which of the following strategies would best help prevent the model from unintentionally generating PII?

A) Use a post-processing step to detect and mask PII after the model generates the text.
B) Increase the temperature and top-k values to reduce the probability of PII being generated.
C) Fine-tune the model specifically on anonymized datasets with PII removed.
D) Disable the model's ability to use context from previous tokens to prevent PII from being included in the output.

Solutions: