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IBM watsonx Generative AI Engineer - Associate Sample Questions (Q213-Q218):

NEW QUESTION # 213
You are developing a solution that requires generating various reports using IBM Watsonx. To maintain efficiency and avoid redundant prompt creation, you decide to implement reusable prompts.
Which of the following best summarizes the value of using reusable prompts in this context?

A. Reusable prompts eliminate the need for monitoring model performance since they consistently deliver accurate results.
B. Reusable prompts ensure that the AI model continues to evolve without additional training, as the prompts themselves become more refined over time.
C. They allow for faster deployment of new AI-driven solutions since the same prompt templates can be adapted for multiple tasks with minimal changes.
D. Reusable prompts automatically adjust their structure depending on the input, eliminating the need for dynamic parameters or customization.

Answer: C

NEW QUESTION # 214
While preparing a fine-tuning project using IBM watsonx, you want to generate synthetic data via the User Interface (UI) to supplement your existing dataset.
Which of the following describes an option supported by IBM watsonx for synthetic data generation through the UI?

A. Uploading real-time streaming data for immediate synthetic generation
B. Manually coding data augmentation scripts within the UI
C. Directly modifying the architecture of the model to generate task-specific synthetic data
D. Using pre-built templates to generate domain-specific synthetic data

Answer: D

NEW QUESTION # 215
Your team is responsible for deploying a generative AI system that will interact with customers through automated chatbots. To improve the quality and consistency of responses across different queries and customer profiles, the team has developed several prompt templates. These templates aim to standardize input to the model, ensuring that outputs are aligned with business objectives. However, the team is debating whether using these prompt templates will provide tangible benefits in the deployment.
What is the primary benefit of deploying prompt templates in this AI system?

A. Enabling more predictable and consistent outputs across different inputs, aligning the model's responses more closely with the business goals.
B. Enhancing the model's ability to generalize across unseen data by training it specifically on the variations included in the prompt template.
C. Improving the scalability of the system by allowing the model to handle more diverse inputs without requiring additional fine-tuning.
D. Reducing the overall inference time by streamlining the input-output process for the model, ensuring faster responses.

Answer: A

NEW QUESTION # 216
You are tasked with fine-tuning a generative AI model for text data using synthetic data created through the IBM watsonx platform's user interface. The data you are working with is skewed, containing mostly outliers, and you need to ensure that the synthetic data mimics the distribution accurately.
Which algorithm would be most appropriate for generating synthetic data that mirrors the original distribution, considering the Anderson-Darling test for normality?

A. Bootstrapping
B. Decision Trees
C. Generative Adversarial Networks (GANs)
D. Anderson-Darling Based Synthetic Data Generation (ADS-DG)

Answer: D

NEW QUESTION # 217
You are using a generative AI model in a healthcare application to generate personalized treatment recommendations based on patient data.
Which of the following scenarios represent valid concerns related to model risks when deploying the AI in this setting? (Select two)

A. The model generates text that includes private patient information, violating data privacy regulations.
B. The model fails to generate treatment recommendations for some patients due to exceeding token limits during inference.
C. The model produces highly creative treatment recommendations that are not based on standard medical guidelines.
D. The model generates biased recommendations based on incomplete or skewed training data, which disproportionately impacts certain patient demographics.
E. The model includes probabilistic estimates for treatment outcomes, which adds uncertainty to the recommendations and reduces their usability.

Answer: A,D

NEW QUESTION # 218
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Go With IBM C1000-185 PDF Questions [2025] For Instant Success

Preparation C1000-185 Store, New C1000-185 Test Preparation

IBM watsonx Generative AI Engineer - Associate Sample Questions (Q213-Q218):

Why Should You Start Preparation With ActualVCE C1000-185 Exam Dumps?

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