Free IBM Cloud Pak for Data v4.x Solution ArchitectPractice Test

A financial services company is planning to deploy IBM Cloud Pak for Data on Red Hat OpenShift. They need to support multiple analytics workloads with varying resource requirements and ensure isolation between development, testing, and production environments. What architectural approach should the Solution Architect recommend?

An organization wants to provide business users with self-service access to data across multiple data sources including DB2, Oracle, and MongoDB without moving or replicating the data. Which Cloud Pak for Data component should be implemented?

A company needs to implement enterprise-wide data governance to ensure compliance with GDPR. They need to classify sensitive data, track data lineage, and enforce data protection policies. Which Cloud Pak for Data service should be the primary focus of the implementation?

A data science team needs to build, train, and deploy machine learning models at scale. They require support for multiple frameworks including scikit-learn, TensorFlow, and PyTorch, along with model lifecycle management. Which Cloud Pak for Data service should they primarily use?

An administrator needs to configure user authentication for Cloud Pak for Data. The organization uses an existing LDAP directory and requires integration with their enterprise identity management system. What authentication method should be configured?

A Solution Architect is designing a Cloud Pak for Data deployment that requires high availability for mission-critical analytics workloads. The deployment must tolerate node failures and ensure continuous service availability. Which architectural components are essential for achieving high availability?

A company has data quality issues in their source systems and needs to cleanse, standardize, and transform data before using it in analytics. The business users need a self-service tool with visual data profiling and transformation capabilities. Which Cloud Pak for Data component should be recommended?

An organization needs to implement data access controls based on user roles and data classification levels. Sensitive customer data should only be accessible to authorized users, with automated enforcement of policies. What Watson Knowledge Catalog feature should be configured?

A data science team has deployed multiple machine learning models to production and needs to monitor them for model drift, bias, and performance degradation. Which Cloud Pak for Data service provides comprehensive model monitoring and governance capabilities?

An administrator notices that certain Cloud Pak for Data services are experiencing performance degradation. They need to investigate resource utilization and identify bottlenecks. What should be the first step in troubleshooting?

A large enterprise is planning a Cloud Pak for Data deployment to support 500 concurrent users across data science, data engineering, and business analytics use cases. They need to determine infrastructure sizing. Which factors are MOST critical for capacity planning?

A company needs to integrate data from an on-premises SAP system with cloud-based data sources and make it available for analytics in Cloud Pak for Data. The SAP system cannot expose data through standard APIs. What integration approach should be recommended?

An organization has implemented Watson Knowledge Catalog and needs to automatically classify and tag incoming data assets based on content. They have thousands of data assets and manual classification is not feasible. What feature should be configured?

A retail company wants to build a recommendation engine that processes customer behavior data in real-time and serves predictions with low latency. The model will be retrained weekly. Which Cloud Pak for Data architecture should be designed?

A Cloud Pak for Data administrator needs to implement backup and disaster recovery procedures. What components and data should be included in the backup strategy?

A multinational corporation needs to deploy Cloud Pak for Data across multiple geographic regions with data residency requirements that mandate certain data cannot leave specific countries. What architectural pattern should be implemented?

A company uses Data Virtualization to access multiple data sources. They notice that queries against a particular Oracle database are performing poorly. What optimization technique should be applied first?

An organization wants to track the complete lineage of data from source systems through transformations to final reports and dashboards. They need to demonstrate regulatory compliance by showing how sensitive data is processed. Which Watson Knowledge Catalog capability provides this functionality?

A data science team needs to collaborate on building a predictive maintenance model. Multiple data scientists will work on feature engineering, model development, and experimentation simultaneously. What Cloud Pak for Data capabilities should be leveraged to support this collaborative workflow?

After deploying Cloud Pak for Data, the security team requires implementation of network policies to restrict pod-to-pod communication and ensure that only authorized services can communicate with databases. What OpenShift feature should the administrator configure?