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

A financial services company is designing a Cloud Pak for Data deployment that requires strict data isolation between different business units while maintaining centralized governance. Each business unit needs its own data sources and analytics workloads. What architectural approach best addresses these requirements?

An organization needs to integrate data from on-premises Oracle databases, cloud-based Salesforce systems, and streaming data from IoT devices into Cloud Pak for Data. Which combination of services would be most appropriate for this hybrid data integration scenario?

A data science team wants to deploy a machine learning model trained in Watson Studio to production, ensuring version control, A/B testing capabilities, and monitoring of model performance degradation. What combination of Cloud Pak for Data services should the solution architect recommend?

An enterprise is implementing Watson Knowledge Catalog and needs to automatically classify sensitive data such as credit card numbers and social security numbers across multiple data sources. The classification results must trigger masking policies. What approach should be implemented?

A solution architect needs to design a Cloud Pak for Data environment that supports both development and production workloads on the same OpenShift cluster. The production workloads require guaranteed resources and higher availability. What design strategy should be implemented?

A retail company wants to create a unified view of customer data stored across multiple systems without physically moving the data. They need to perform analytics on this unified view and occasionally materialize specific datasets for machine learning. Which architectural pattern best fits these requirements?

A data science team is working with sensitive healthcare data in Watson Studio notebooks. They need to collaborate on code while ensuring that no actual patient data is visible in shared notebooks. What combination of features should be configured?

An organization deploys multiple AutoAI experiments to identify the best model for predicting customer churn. After deployment, the model's accuracy begins to decline over time. What Watson OpenScale capabilities should be configured to address this situation?

A Cloud Pak for Data implementation requires integration with an existing enterprise LDAP directory for authentication, while also needing to support service accounts for API-based integrations. What authentication architecture should be designed?

A company is designing a Cloud Pak for Data solution where DataStage jobs need to process data that will subsequently be used by Watson Machine Learning models. The data pipeline must be automated and triggered by new file arrivals. What architectural components should be integrated?