A DevOps team wants to programmatically create AI use cases and register governed model assets in watsonx.governance as part of their automated CI/CD pipeline. Which approach is correct?
Select an answer to reveal the explanation.
Short Explanation and Infographic
Think of it this way: in real-world AI governance, use the watsonx.governance v2 rest api to create inventories, ai use cases, and associate governed assets programmatically is exactly what teams reach for when they need to handle this scenario. The watsonx. On the exam, remember that this falls squarely under the 3.0 Configure watsonx.governance domain.
Full explanation below image
Full Explanation
The watsonx.governance v2 REST API supports full programmatic lifecycle management of governance objects including creating model inventories, AI use cases, and registering governed development and deployment assets. DevOps teams can call these endpoints from CI/CD tools such as GitHub Actions or Jenkins to automatically register new model versions in governance at build and deploy time. The correct answer, "Use the watsonx.governance v2 REST API to create inventories, AI use cases, and associate governed assets programmatically", directly addresses the scenario described because it aligns with the specific governance requirement in question. The incorrect options ("Use the Watson OpenScale Python client library to register AI use cases and governed assets via SDK calls", "AI use cases", "Use the OpenPages SOAP API to create risk objects and map them to AI models by name in OpenPages directly") may seem plausible but do not satisfy the core requirement. Understanding the distinction between these concepts is critical for IBM watsonx.governance implementations and is frequently tested in the 3.0 Configure watsonx.governance section of the certification exam.