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IBM watsonx Generative AI Engineer - Associate Sample Questions:

1. In IBM Watsonx Generative AI, controlling model parameters is crucial for managing the output generation process.
Which of the following statements correctly describes how adjusting the temperature parameter influences the model's response?

A) Increasing the temperature parameter results in more deterministic and repetitive responses.
B) A higher temperature parameter introduces more randomness, leading to less predictable responses.
C) The temperature parameter has no impact on the diversity or creativity of the model's output but controls response length.
D) Decreasing the temperature parameter produces more creative and diverse responses.

2. You are tasked with generating creative text outputs using an AI language model for a marketing campaign. You want to ensure that the responses are diverse and unexpected but still somewhat relevant to the prompt.
Which combination of temperature and random seed should you use to achieve this?

A) Temperature: 0.7, Random Seed: None
B) Temperature: 0.1, Random Seed: 42
C) Temperature: 1.0, Random Seed: 0
D) Temperature: 1.5, Random Seed: 123

3. You are using IBM Watsonx to control the randomness of a language model's output by adjusting the top-k parameter.
What happens when you reduce the top-k value from 50 to 5 during text generation?

A) Reducing the top-k value reduces the model's ability to predict rare or uncommon words, leading to less accurate outputs.
B) The model will now consider only the top 5 most probable tokens at each step, making the output more deterministic and focused.
C) Reducing the top-k value increases the temperature of the model, making the outputs more creative and diverse.
D) Lowering the top-k value forces the model to generate shorter outputs by limiting the number of tokens available for selection.

4. You are experimenting with a generative AI model to write a personalized email response template. You want to ensure that the output maintains a formal tone but occasionally produces creative phrasing without making nonsensical sentences. You are advised to adjust the top-p (nucleus sampling) parameter.
Which of the following settings would most effectively balance between formal coherence and occasional creativity in the generated output?

A) Set top-p to 1.0
B) Set top-p to 0.0
C) Set top-p to 0.5
D) Set top-p to 0.95

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

Solutions: