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

A financial services company is planning to deploy Cloud Pak for Data on a multi-zone OpenShift cluster to ensure high availability. They need to store metadata for their data catalogs and governance policies. Which storage configuration approach is most appropriate for their metadata requirements?

During a Cloud Pak for Data installation, the Solution Architect needs to configure user authentication for a hybrid environment where some users are in Active Directory and others use SAML-based SSO through an external identity provider. What authentication strategy should be implemented?

A retail organization wants to implement data governance in Cloud Pak for Data. They need to classify sensitive customer data automatically, track data lineage from source systems through transformations to analytics dashboards, and enforce access policies. Which combination of services must be deployed to meet these requirements?

An enterprise is planning to migrate their existing data integration jobs from an on-premises DataStage environment to Cloud Pak for Data. They have 200+ ETL jobs with dependencies on legacy COBOL copybooks and mainframe connections. What migration approach should the Solution Architect recommend?

A data science team is deploying machine learning models to production in Cloud Pak for Data. They need to monitor model performance, detect bias in predictions, and automatically retrain models when accuracy degrades. The models serve real-time predictions via API. Which architecture components are required?

An organization running Cloud Pak for Data needs to implement backup and disaster recovery procedures. Their RTO is 4 hours and RPO is 1 hour for critical data assets and metadata. What backup strategy should be implemented?

A Solution Architect is designing a Cloud Pak for Data topology for a company with three business units that require strict data isolation but need to share common services like authentication and monitoring. What deployment architecture best meets these requirements?

During an upgrade of Cloud Pak for Data from version 4.0 to 4.6, which sequence of activities should the Solution Architect follow to minimize risk and downtime?

A healthcare organization using Cloud Pak for Data needs to implement data masking for protected health information (PHI) while allowing data scientists to perform analytics. The masked data should be automatically applied based on user roles, and the masking should occur before data is loaded into analytics environments. How should this be architected?

A company's Cloud Pak for Data environment is experiencing performance degradation during peak hours when multiple data science teams run intensive notebook workloads. The Solution Architect needs to optimize resource allocation. Which combination of approaches should be implemented?