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

A financial services organization is planning to deploy Cloud Pak for Data on their existing OpenShift cluster. They have compliance requirements that mandate data residency within specific geographic regions and need to support multiple development and production environments. Which architectural approach should the Solution Architect recommend?

During the implementation phase, a client needs to integrate Cloud Pak for Data with their existing LDAP directory for user authentication while also enabling role-based access control (RBAC) for platform services. What configuration steps must be completed to achieve this integration?

A retail company wants to implement data governance using Watson Knowledge Catalog. They need to classify personally identifiable information (PII) across multiple data sources and automatically enforce masking policies when analysts access sensitive data. Which combination of features should be configured?

An organization is designing a Cloud Pak for Data architecture to support real-time AI inference and batch model training workloads. The inference workloads require low latency and high availability, while training jobs are resource-intensive but can tolerate longer execution times. What resource allocation strategy should the architect implement?

During a Cloud Pak for Data implementation, the storage administrator reports that persistent volume claims (PVCs) for Watson Studio are failing. The OpenShift cluster has sufficient storage capacity, but the storage class used doesn't support the required access mode. What should the Solution Architect verify and recommend?

A healthcare organization needs to implement column-level security in Cloud Pak for Data to ensure that only authorized users can view patient diagnostic information while allowing broader access to demographic data in the same tables. Which approach should be implemented using Watson Knowledge Catalog?

A data science team is building machine learning models using Watson Studio and needs to deploy them for production inference. The models must be monitored for accuracy drift and fairness metrics. Which combination of Cloud Pak for Data services and configuration should be implemented?

An enterprise is planning a multi-tenant Cloud Pak for Data deployment where different business units need isolated environments with their own data, users, and resources, but centralized administration is required. What architectural pattern should be recommended?

A company has successfully deployed Cloud Pak for Data but users report slow performance when accessing virtualized data sources through Data Virtualization service. The Solution Architect needs to optimize performance. Which combination of optimization techniques should be applied?

An organization needs to establish a data lineage tracking system in Cloud Pak for Data that captures data flow from source systems through transformation pipelines to analytical models and reports. Which approach should be implemented to achieve comprehensive lineage?