IBM Cloud Pak for Data v4.x Solution Architect Intermediate Practice Exam: Medium Difficulty 2025

A financial services organization is planning to deploy IBM Cloud Pak for Data on Red Hat OpenShift and needs to ensure high availability for their data virtualization workloads. They have three data centers across different geographic regions. Which architectural approach should the solution architect recommend?

During the implementation of Cloud Pak for Data, a solution architect needs to configure user authentication for a hybrid environment where some users are in Active Directory on-premises and others use cloud-based identity providers. The organization requires single sign-on (SSO) and role-based access control (RBAC). What is the most appropriate configuration strategy?

A retail company wants to implement data governance using Watson Knowledge Catalog to classify and protect customer PII data across multiple data sources including DB2, Oracle databases, and cloud object storage. They need to automatically discover and tag sensitive data. Which combination of capabilities should be configured?

An organization is experiencing performance issues with their Watson Machine Learning model deployments in Cloud Pak for Data. Models are taking too long to return predictions during peak hours. As a solution architect, what combination of optimization strategies should you recommend?

A multinational corporation needs to design a Cloud Pak for Data deployment strategy that complies with data residency requirements in three regions: EU, US, and APAC. Each region has specific regulations about where customer data can be stored and processed. What architectural pattern should be implemented?

During a Cloud Pak for Data implementation, you need to configure DataStage for ETL workloads that will process sensitive healthcare data. The organization requires audit trails, data lineage tracking, and the ability to rollback changes. Which configuration approach ensures these requirements are met?

A data governance team wants to implement a policy in Watson Knowledge Catalog that automatically masks credit card numbers in development and test environments while keeping them visible in production for authorized users. Data exists across multiple databases and file systems. How should this be architected?

An organization using Cloud Pak for Data wants to optimize storage costs for their Watson Studio projects and deployment spaces. They have historical notebooks, inactive models, and datasets that are infrequently accessed but must be retained for compliance. What strategy should be recommended?

A solution architect is designing a Cloud Pak for Data environment where data scientists need to collaborate on machine learning projects using Watson Studio while ensuring that different teams cannot access each other's sensitive datasets. The organization also requires centralized monitoring of resource usage by team. What implementation approach satisfies these requirements?

An enterprise is integrating Cloud Pak for Data with their existing CI/CD pipeline for model deployment. They need to automate the process of promoting models from development through staging to production environments while maintaining governance controls and audit trails. Which approach should be implemented?