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IBM watsonx Generative AI Engineer - Associate Sample Questions (Q141-Q146):
NEW QUESTION # 141
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?
- A. "Create a marketing email that lists the features of our latest products. No need to include any personalized information."
- B. "Generate a generic marketing email promoting our products. Make it professional but avoid using customer-specific details."
- C. "Generate a formal email to promote the latest offers, focusing on the technical details of the products and avoiding any emotional appeal."
- D. "Write an email promoting the following product, ensuring to highlight customer-specific preferences and recommend personalized products or offers. Include a clear call to action."
Answer: D
NEW QUESTION # 142
What is a key advantage of using prompt variables in IBM Watsonx for a chatbot application that needs to handle multiple user intents?
- A. Prompt variables allow the model to automatically detect the user's intent, ensuring accurate responses.
- B. Using prompt variables ensures that the model will always select the most relevant response based on past conversations.
- C. Prompt variables enable developers to predefine multiple static responses for each possible user input.
- D. Prompt variables allow for the dynamic injection of user-specific details into the response, improving personalization.
Answer: D
NEW QUESTION # 143
You are working with IBM Watsonx to generate automated customer support responses. To ensure consistency and flexibility in responses across multiple product categories, you decide to use prompt variables.
Which of the following best describes the benefits of using prompt variables in this scenario?
- A. They enable the AI to better predict the intent of the customer query, reducing the need for explicit customer input.
- B. They ensure that the AI generates responses with consistent tone and personality across all prompts, regardless of product category.
- C. They automatically improve the accuracy of the AI's responses by allowing the system to learn from each generated prompt.
- D. They allow for dynamic input fields in prompts, making it easier to tailor responses for different product categories without rewriting the entire prompt.
Answer: D
NEW QUESTION # 144
Which of the following stopping criteria can help in generating coherent and well-structured text without cutting off mid-sentence or continuing unnecessarily?
- A. Stopping the model only when it reaches the end of a predefined phrase from the input prompt
- B. Stopping the model after a predetermined number of tokens, regardless of context
- C. Monitoring the likelihood of the next token and stopping when the likelihood drops below a threshold
- D. Stopping when the model generates special end-of-sequence tokens, such as <EOS>
Answer: D
NEW QUESTION # 145
You have successfully deployed a custom model using IBM Watson Machine Learning. Now, an application needs to access the model for inference.
Which of the following configurations will ensure that the application has appropriate access to the deployed model?
- A. Use the default IAM policies for all users in the IBM Cloud project
- B. Assign the "viewer" role to the application's service account in Watson Machine Learning
- C. Implement OAuth2 authentication using IBM Cloud IAM for securing the API.
- D. Create a public-facing API endpoint without authentication
Answer: C
NEW QUESTION # 146
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