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

A large enterprise is planning to deploy Cloud Pak for Data and needs to support multiple business units with isolated environments while sharing common services. Which deployment architecture pattern best meets this requirement?

An organization needs to integrate data from multiple on-premises databases and cloud data sources for analytics. Which Cloud Pak for Data service should be the primary choice for creating a unified view without physically moving the data?

A data science team wants to deploy a machine learning model to production with the ability to monitor for bias and drift. Which combination of Cloud Pak for Data services should they use?

An architect needs to design a governance framework where business terms are linked to technical assets and data quality rules are enforced. Which Cloud Pak for Data component is central to this requirement?

A company is experiencing performance issues with their Cloud Pak for Data deployment when multiple users run concurrent analytical workloads. What architectural component should be evaluated and scaled to address this issue?

An organization needs to implement row-level security to ensure users only see data they are authorized to access. Which Cloud Pak for Data capability should be configured to achieve this?

A data engineer needs to build a complex ETL pipeline that includes CDC (Change Data Capture) from operational databases, transformations, and loading into a data warehouse. Which Cloud Pak for Data service is best suited for this requirement?

A solution architect is designing a deployment where sensitive data must be masked for non-production environments. At what point in the Cloud Pak for Data architecture should data masking be implemented for optimal security?

An organization wants to enable self-service analytics for business users while maintaining IT governance over data access and quality. Which Cloud Pak for Data architectural pattern best supports this requirement?

A machine learning model deployed in production is showing decreased accuracy over time. Which Watson OpenScale feature should be configured to automatically detect this issue?

An enterprise has data residing in AWS S3, Azure Blob Storage, and on-premises Hadoop. They want to create a unified analytics platform. Which Cloud Pak for Data deployment model and services combination is most appropriate?

A data science team needs to collaborate on a project with version control for notebooks, shared compute resources, and the ability to schedule jobs. Which Cloud Pak for Data construct provides these capabilities?

An architect is planning storage requirements for Cloud Pak for Data. Which storage consideration is most critical for optimal performance?

A company needs to discover and classify sensitive PII data across multiple data sources before making it available for analytics. Which Cloud Pak for Data workflow should be implemented?

A financial services company needs to maintain an audit trail of all data access and model decisions for regulatory compliance. Which Cloud Pak for Data capabilities should be enabled?

A data scientist wants to use AutoAI to quickly build and compare multiple machine learning models. Which Cloud Pak for Data service provides this capability?

An organization is migrating from a legacy data warehouse to Cloud Pak for Data and needs to minimize downtime. Which migration strategy is most appropriate?

A solution requires real-time data integration from streaming sources like Kafka combined with batch data from databases. Which Cloud Pak for Data approach should be used?

A business analyst needs to create visualizations and dashboards from data in the catalog without writing code. Which Cloud Pak for Data service should they use?

An enterprise is planning disaster recovery for their Cloud Pak for Data deployment. Which components must be included in the backup and recovery strategy?