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 architecture that requires strict data isolation between departments while maintaining centralized governance. They need to process both customer financial records and internal HR data. Which architectural approach best addresses these requirements?

During a Cloud Pak for Data deployment on OpenShift, an architect discovers that the Watson Studio service fails to start due to insufficient resources. The cluster has 5 worker nodes with 16 cores and 64GB RAM each. What is the most appropriate troubleshooting approach?

A retail organization needs to integrate data from on-premises DB2 databases, cloud-based Salesforce CRM, and real-time streaming data from IoT sensors into Cloud Pak for Data for analytics. Which combination of services should the architect recommend?

An architect is implementing Watson Knowledge Catalog to govern data assets across multiple Cloud Pak for Data projects. Business users report that they cannot find recently published data assets even though they have been assigned appropriate roles. What is the most likely cause and solution?

A company is deploying Cloud Pak for Data in an air-gapped environment with no internet access. They need to install the platform and several cartridge services. Which deployment approach must they follow?

An organization experiences performance degradation in their Cloud Pak for Data environment during peak usage hours. After investigation, the architect notices that Watson Studio notebook kernels are frequently being evicted and restarted. What optimization strategy should be implemented?

A solution architect needs to design a disaster recovery strategy for a Cloud Pak for Data production environment running on OpenShift. The RTO is 4 hours and RPO is 1 hour. Which backup and recovery approach best meets these requirements?

A data science team is building machine learning models in Watson Studio that require GPU acceleration. The OpenShift cluster has 3 worker nodes with GPUs and 8 worker nodes without GPUs. How should the architect configure the environment to ensure GPU-intensive workloads run on appropriate nodes?

An enterprise is implementing data governance policies in Watson Knowledge Catalog. They need to automatically classify sensitive customer data and enforce access restrictions based on user roles and data classification. Which combination of features should they configure?

After a Cloud Pak for Data upgrade, users report that their scheduled Watson Studio notebook jobs are failing. The architect checks the logs and finds authentication errors when jobs attempt to access data assets. What is the most likely cause and remediation?