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2025 High Hit-Rate Test C1000-185 Cram Pdf | IBM watsonx Generative AI Engineer - Associate 100% Free Interactive EBook

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IBM watsonx Generative AI Engineer - Associate Sample Questions (Q289-Q294):

NEW QUESTION # 289
What is a key benefit of using Prompt Lab in IBM Watsonx to build reusable prompts for generative AI applications?

A. Prompt Lab allows for the creation of templates with dynamic placeholders, making it easier to reuse prompts in various contexts without modification.
B. Prompt Lab automatically adjusts prompts based on the user's previous interactions, ensuring personalized output.
C. Prompt Lab uses machine learning to automatically improve prompts over time without the need for developer intervention.
D. Prompt Lab uses predefined responses to train the model, eliminating the need for further prompt experimentation.

Answer: A

NEW QUESTION # 290
In which scenario would using a soft prompt be more beneficial than a hard prompt in optimizing generative AI outputs?

A. When the model needs to generate a strictly factual output with minimal deviation from the prompt.
B. When the prompt needs to be manually adjusted by the user in real time during interaction with the AI.
C. When fine-tuning a pre-trained model for domain-specific tasks, allowing the system to adapt its understanding through learned embeddings.
D. When the task requires explicit and consistent user instructions to ensure deterministic outcomes.

Answer: C

NEW QUESTION # 291
Which of the following describes a key benefit of using Prompt Lab in IBM Watsonx for developing generative AI applications?

A. Prompt Lab provides automatic optimization of model hyperparameters, ensuring the best performance without user intervention.
B. Prompt Lab ensures that all generated outputs are free from bias by automatically filtering inappropriate content.
C. Prompt Lab enables real-time collaboration between developers, allowing them to modify prompts simultaneously for faster development.
D. Prompt Lab allows users to iteratively test and refine prompts in a controlled environment, improving prompt effectiveness and reducing guesswork.

Answer: D

NEW QUESTION # 292
In a generative AI model, you are tasked with producing creative yet coherent text for a marketing campaign. You want to ensure that the output contains varied word choices and diverse sentence structures while still maintaining some degree of logical consistency.
Which of the following settings for the temperature parameter would most likely achieve this balance?

A. Temperature = 0.7
B. Temperature = 0.2
C. Temperature = 2.0
D. Temperature = 0.0

Answer: A

NEW QUESTION # 293
You are analyzing prompts submitted to a Generative AI model used for summarizing long research papers.
One user submits the following prompt: "Summarize this 40-page research paper on quantum computing, including details on every section and subsection, providing a detailed description of key points, methodologies, results, discussions, and future work. The summary should be at least 5 pages long." Why is this prompt considered inefficient, and how should it be optimized?

A. The prompt is inefficient because it asks for too much detail across all sections, leading to excessive token usage and unnecessary information in the output.
B. The prompt is efficient because it clearly outlines the expectations and ensures a comprehensive summary.
C. The prompt is inefficient because it requests a 5-page summary, which is unnecessary for summarizing the key information from a research paper.
D. The prompt is inefficient because it does not specify a character limit, which means the model might generate overly verbose output.

Answer: A

NEW QUESTION # 294
......

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