An AI project manager is creating a new use case in watsonx.governance for a customer churn prediction model. Which combination of fields is required during use case creation?
Select an answer to reveal the explanation.
Short Explanation and Infographic
It's like a compliance officer reviewing contracts — they check every clause against the rulebook. Creating a use case in watsonx.governance requires a name, description, risk level, tags, an inventory association, business justification, data sources, and sensitive data flags. These fields ensure both business context and initial risk and compliance information are captured from the outset of the AI lifecycle, establishing a complete governance record.
Full explanation below image
Full Explanation
Creating a use case in watsonx.governance requires a name, description, risk level, tags, an inventory association, business justification, data sources, and sensitive data flags. These fields ensure both business context and initial risk and compliance information are captured from the outset of the AI lifecycle, establishing a complete governance record. The incorrect options — such as 'Model architecture, training framework, hyperparameters, and deployment environment' and 'Use case name, model version, GPU configuration, and container image' — describe either out-of-sequence steps or unrelated configuration tasks. This concept falls under the 5.0 Define and Govern AI Use Case Inventory domain of the IBM watsonx.governance certification.