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 support both structured data analytics and AI model training workloads. The organization has concerns about resource contention between these workloads. What architectural approach should the Solution Architect recommend?

An enterprise is implementing Data Virtualization in Cloud Pak for Data to provide unified access to data across Oracle, PostgreSQL, and MongoDB databases. Performance testing reveals that queries joining data from Oracle and MongoDB are extremely slow. What is the MOST effective optimization strategy?

A Solution Architect is designing a data governance framework using Watson Knowledge Catalog. The organization has a requirement that sensitive customer PII data must be automatically classified and masked when accessed by users in the Marketing department, but fully visible to the Compliance team. Which combination of features should be implemented?

A data science team is developing machine learning models using Watson Studio and needs to track experiments, compare model performance, and deploy the best model to production. The team uses both AutoAI and custom Python notebooks. What integrated workflow should the Solution Architect recommend?

During a Cloud Pak for Data implementation, the security team requires that all data at rest must be encrypted using customer-managed encryption keys, and audit logs must be retained for 7 years with immutability guarantees. What combination of configurations satisfies these requirements?

An organization wants to create a business glossary in Watson Knowledge Catalog that will be used to standardize terms across multiple data sources. Business users need to propose new terms, but only data stewards should approve them. Additionally, approved terms must automatically enrich assets in the catalog. What implementation approach should be used?

A retail company is designing a data integration architecture where data from point-of-sale systems needs to be transformed and loaded into Cloud Pak for Data for analytics. The source systems generate approximately 50GB of new data daily. Real-time analytics is not required, but data must be available within 4 hours. Which integration pattern is most appropriate?

A Cloud Pak for Data deployment is experiencing intermittent performance degradation during peak usage hours. Monitoring shows that Watson Studio notebook kernels are frequently restarting and users report long wait times. The OpenShift cluster has sufficient overall resources. What is the MOST likely cause and solution?

An insurance company is implementing a solution where data scientists need to build predictive models using Watson Studio, but the training data contains sensitive customer information that cannot leave the production environment. The data science environment is in a separate development cluster. How should the Solution Architect address this requirement?

A data science team has deployed multiple machine learning models to Watson Machine Learning. They need to implement A/B testing to compare two versions of a fraud detection model before fully retiring the old version. Both models must process the same incoming requests. What deployment strategy should be implemented?