Title: IBM C1000-185 Valid Exam Discount, C1000-185 Updated Demo [Print This Page] Author: edwardm308 Time: 13 hour before Title: IBM C1000-185 Valid Exam Discount, C1000-185 Updated Demo 2026 Latest Pass4SureQuiz C1000-185 PDF Dumps and C1000-185 Exam Engine Free Share: https://drive.google.com/open?id=18-xIJ1eDat42o1gCdvTCacDoP8zPeLES
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You are implementing a few-shot prompting strategy with IBM Watsonx to improve the model's performance in generating customer service responses. The goal is to ensure the model understands the tone and format required for polite and concise replies.
Which of the following strategies best illustrates the correct way to use few-shot prompting?
A. Use only negative examples in the prompt to show the model what not to generate in terms of tone and format.
B. Provide one or two well-structured examples that demonstrate the expected tone and format of the customer service responses within the prompt.
C. Provide example prompts with multiple different output styles to give the model a range of responses to choose from.
D. Include a large number of examples, typically over 10, in the input prompt to ensure the model learns from diverse cases.
Answer: B
NEW QUESTION # 379
When using Tuning Studio in IBM watsonx, which of the following types of models is most suitable for fine-tuning in a domain-specific task to optimize performance?
A. An untrained model with a minimal number of layers to reduce complexity.
B. A pre-trained model that has been trained on a large, general-purpose dataset.
C. A pre-trained model with very few layers to ensure fast processing speeds.
D. A model trained from scratch on a small, specific dataset.
Answer: B
NEW QUESTION # 380
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. Batch size
B. Gradient clipping
C. Learning rate
D. Dropout rate
Answer: C
NEW QUESTION # 381
You are building a generative AI system that uses synthetic data to mimic an existing dataset. You have learned about two primary algorithms: one that focuses on ensuring the synthetic data passes statistical normality tests and another designed to generate realistic-looking data without focusing on distribution conformity.
Which algorithm should you choose if your primary concern is statistical accuracy and passing the Anderson-Darling test?
A. Bootstrapping Algorithm
B. Anderson-Darling Based Synthetic Data Generation (ADS-DG)
C. K-Nearest Neighbors (KNN)
D. Gaussian Mixture Models (GMMs)
Answer: B
NEW QUESTION # 382
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. "Generate a generic marketing email promoting our products. Make it professional but avoid using customer-specific details."
B. "Generate a formal email to promote the latest offers, focusing on the technical details of the products and avoiding any emotional appeal."
C. "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."
D. "Create a marketing email that lists the features of our latest products. No need to include any personalized information."
Answer: C
NEW QUESTION # 383
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