IBM Cloud Pak for Data v4.x Solution Architect Practice Exam: Test Your Knowledge 2025

An enterprise is planning to deploy IBM Cloud Pak for Data across multiple environments. Which architectural consideration is MOST critical for ensuring scalability and resource optimization?

A solution architect needs to design a high-availability architecture for Cloud Pak for Data. Which component requires special consideration for maintaining metadata consistency across nodes?

During the installation of Cloud Pak for Data on Red Hat OpenShift, which prerequisite check is essential before proceeding with the deployment?

A customer wants to integrate Cloud Pak for Data with their existing LDAP directory service for user authentication. What is the recommended approach?

What is the primary purpose of Data Virtualization in Cloud Pak for Data?

An organization has sensitive customer data stored across multiple databases. They need to implement data virtualization while ensuring compliance with data privacy regulations. Which feature should the solution architect prioritize?

A company wants to catalog and govern data assets across their enterprise using Cloud Pak for Data. Which service should be implemented to enable metadata management, data lineage tracking, and policy enforcement?

When designing a data virtualization solution that connects to 15 different data sources, what architectural pattern should be used to optimize query performance?

A data science team needs to collaborate on machine learning models using Cloud Pak for Data. Which component provides the collaborative environment for developing, training, and deploying models?

An organization needs to monitor deployed machine learning models for accuracy degradation and data drift. What approach should the solution architect recommend?

What is the recommended approach for managing different environments (development, test, production) in Cloud Pak for Data?

A solution architect is planning storage requirements for Cloud Pak for Data. Which storage consideration is MOST important for ensuring platform stability and performance?

During a Cloud Pak for Data upgrade, which approach minimizes downtime and risk?

A customer needs to integrate Cloud Pak for Data with external applications using APIs. What authentication mechanism should be used for programmatic access?

When configuring Data Virtualization to connect to on-premises data sources from Cloud Pak for Data running in a cloud environment, what connectivity consideration is essential?

A data science project requires processing large datasets that exceed available memory. What Watson Studio capability should be leveraged?

What is a key architectural benefit of Cloud Pak for Data's unified platform approach compared to using disparate tools?

An enterprise architect needs to design a multi-tenant Cloud Pak for Data environment where different business units must be isolated. What approach provides the best balance of isolation and resource efficiency?

After installing Cloud Pak for Data, users report intermittent connection timeouts. What is the FIRST troubleshooting step a solution architect should take?

A financial services company needs to deploy machine learning models that provide explanations for predictions to meet regulatory requirements. Which Cloud Pak for Data capability addresses this requirement?