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C1000-185 Reliable Test Duration, New C1000-185 Study Guide

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IBM watsonx Generative AI Engineer - Associate Sample Questions (Q87-Q92):

NEW QUESTION # 87
You are tasked with deploying a custom prompt template in an enterprise environment.
What is the most critical first step in defining the deployment lifecycle to meet client needs?

A. Identify the operational requirements and business constraints
B. Establish a model selection strategy for each prompt template
C. Define the monitoring and feedback mechanisms for the prompt's performance
D. Deploy the prompt template directly to production to get rapid feedback

Answer: A

NEW QUESTION # 88
You are designing a customer support chatbot using watsonx.ai as the primary generative model. You want to enhance the chatbot's capabilities by integrating it with IBM Watson Assistant to handle structured conversations while allowing watsonx.ai to generate responses for open-ended queries.
Which integration approach would most effectively combine both services while maintaining optimal performance and accuracy?

A. Use Watson Discovery to preprocess all queries before routing them to either Watson Assistant or watsonx.ai based on query complexity.
B. Implement Watson Assistant for structured conversations and use a middleware layer that dynamically routes complex, open-ended queries to watsonx.ai, returning the results within the same session.
C. Train Watson Assistant to handle both structured and unstructured conversations, while using watsonx.ai only for rare edge cases that Watson Assistant cannot manage.
D. Create separate chat interfaces for Watson Assistant and watsonx.ai, and allow the user to choose which system to query based on their needs.

Answer: B

NEW QUESTION # 89
When optimizing the tuning process in IBM Watsonx Tuning Studio for a Generative AI model, which approach would best reduce training time and computational cost while maintaining model performance?

A. Increase the batch size and reduce the learning rate simultaneously to speed up the tuning process and minimize training iterations.
B. Use all available training data, including unrelated examples, to ensure the model has a broad understanding of multiple tasks before tuning.
C. Focus the tuning on adjusting only the model's last few layers, which are responsible for task-specific outputs, while leaving the majority of the model unchanged.
D. Perform full-scale retraining of the model for each new task to ensure maximum adaptability and accuracy.

Answer: C

NEW QUESTION # 90
You are tasked with optimizing the cost of text generation using a generative AI model by adjusting model parameters. One of the key parameters you consider is the temperature, which controls the randomness of the output. The client has requested outputs that are more predictable and closer to the intended meaning, without unnecessary creativity, in order to reduce unnecessary token usage and ensure the quality of generated responses. Given the following task:
"Generate a brief summary of a technical article that focuses on key innovations without including unrelated or creative content." Which of the following temperature settings would be most appropriate to optimize cost while maintaining focus and minimizing unnecessary token usage?

A. 0.1
B. 1.2
C. 0.0
D. 1.0

Answer: A

NEW QUESTION # 91
You are tasked with setting up a pipeline that uses an embedding API for a RAG system. Before the API can be used to generate vector embeddings for large-scale document retrieval, certain prerequisites must be met.
Which of the following is a valid prerequisite for using the embedding API efficiently?

A. Securing the API access with proper authentication and authorization measures
B. Ensuring that all data sources are available in a structured format such as JSON or CSV
C. Training the API to generate embeddings for every possible word in the corpus
D. Precomputing the embeddings manually to avoid real-time API calls

Answer: A

NEW QUESTION # 92
......

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