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IBM C1000-185 Exam Syllabus Topics:

IBM watsonx Generative AI Engineer - Associate Sample Questions:

1. While optimizing the cost of running a Generative AI model, you are instructed to adjust the prompt structure.
Which of the following changes to a prompt would most reduce computational costs while still maintaining effective results?

A) Using stop tokens early in the prompt to minimize generation length.
B) Breaking complex prompts into simpler, sequential prompts.
C) Including multiple tasks in a single prompt to maximize efficiency.
D) Switching from a narrative-style prompt to a bulleted list format.

2. You are designing a generative AI system using the Retrieval-Augmented Generation (RAG) pattern. Your goal is to improve the accuracy of the generated content by incorporating relevant external knowledge in real-time.
Which deployment strategy would best support this system architecture?

A) Use a multi-deployment model architecture where a retriever model and a generator model are deployed independently and communicate via API calls.
B) Deploy a single generative model and rely on post-processing to add any external information after the initial generation is complete.
C) Deploy the model with pre-configured static datasets for retrieval, updating the dataset manually on a regular basis.
D) Deploy the RAG system within a single containerized model that combines retrieval and generation functionalities in one inference step.

3. How can developers best ensure that prompt templates are version-controlled and any changes to the templates can be tracked efficiently in a collaborative team environment?

A) Implement a versioning system for prompt templates in a source control tool like Git
B) Manually keep a changelog of prompt template modifications in a shared document
C) Use a centralized cloud storage system that automatically saves all versions of the prompt templates
D) Update prompt templates directly in production and rely on error logs for tracking changes

4. You are working on generating creative text responses using IBM watsonx's generative AI model. You need to adjust the output so that it is more diverse and creative without losing coherence.
Which of the following model parameter settings would best achieve this objective?

A) Set temperature to 1.5
B) Set temperature to 0.2
C) Set temperature to 2
D) Set temperature to 0

5. A healthcare organization is deploying a generative AI model to assist in summarizing patient records. Given the sensitivity of patient data, the model must not output Personally Identifiable Information (PII) such as names, addresses, or Social Security numbers.
Which of the following strategies would best help prevent the model from unintentionally generating PII?

A) Use a post-processing step to detect and mask PII after the model generates the text.
B) Fine-tune the model specifically on anonymized datasets with PII removed.
C) Disable the model's ability to use context from previous tokens to prevent PII from being included in the output.
D) Increase the temperature and top-k values to reduce the probability of PII being generated.

Solutions: