IBM Certified Solution Advisor - Cloud Pak for Data v4.x Practice Exam 2025: Latest Questions

A customer asks what the IBM Cloud Pak for Data platform provides at a high level. Which description best matches Cloud Pak for Data?

A project team wants business users to easily find trusted datasets and understand definitions, owners, and usage restrictions. Which Cloud Pak for Data capability is most directly used for this purpose?

A data scientist needs to operationalize a trained model so applications can call it via a REST endpoint and monitor its runtime behavior. Which service is primarily used to deploy and manage the model?

A client wants to separate development and production work so that only a limited set of users can deploy assets to production while developers can iterate freely. Which design approach best supports this requirement in Cloud Pak for Data?

A customer wants a data fabric approach where users can query data that remains in multiple source systems without copying it into a central store. Which capability best aligns with this requirement?

In a Cloud Pak for Data deployment on OpenShift, a service pod repeatedly restarts and logs show out-of-memory events. Which corrective action is most appropriate to recommend first?

A governance team wants to ensure that sensitive columns (for example, national ID numbers) are automatically identified and handled consistently across new datasets as they are added. Which approach best meets this need?

A customer needs to build dashboards for business users and allow scheduled report distribution, while sourcing data from governed datasets in Cloud Pak for Data. Which service is best suited for this requirement?

A global company must enforce a policy that certain datasets can only be accessed by users in specific regions, and they need auditability of access decisions. Which solution design is most appropriate in Cloud Pak for Data?

A client wants to operationalize MLOps with repeatable promotion of model artifacts from development to production, including approvals, lineage, and reproducibility. Which approach best aligns with Cloud Pak for Data best practices?

A project team wants business users to quickly find and understand trusted datasets across many sources in Cloud Pak for Data. Which capability best supports searching, understanding lineage, and using governed assets in one place?

A client asks what underlying platform Cloud Pak for Data uses to provide container orchestration, scaling, and high availability. What is the correct response?

A data engineer needs to clean and shape a dataset with a visual interface and then deliver the prepared data for downstream analytics. Which Cloud Pak for Data tool is most appropriate?

A financial services client must ensure that only specific roles can access PII columns while still allowing analysts to use non-PII fields in the same tables. What is the recommended approach in Cloud Pak for Data governance?

A data science team has trained a model and now needs to deploy it as an online REST endpoint with monitoring and lifecycle management. Which service best fits this requirement?

A client wants to integrate multiple data sources (on-prem and cloud), provide a unified view for analytics, and minimize data movement where possible. Which design approach aligns best with data fabric principles in Cloud Pak for Data?

A platform admin reports that new users can log into Cloud Pak for Data but cannot access any services, even after being added to projects. What is the most likely missing configuration step?

A client wants to standardize model development so that notebooks, data connections, and deployment artifacts can be reused across teams with controlled collaboration. Which approach is recommended?

A healthcare organization must demonstrate end-to-end traceability of how a report metric was produced, including source systems, transformations, and intermediate datasets. Which combination best meets this requirement in Cloud Pak for Data?

A client needs to design a multi-tenant Cloud Pak for Data environment where different business units require strong isolation for workloads and resources, but the platform team wants centralized operations. What is the best architectural approach?

A project team wants business users to find and request access to data across many sources from a single place, with clear ownership and descriptions. Which capability best meets this requirement in Cloud Pak for Data?

A security team requires that data access decisions consider user attributes (e.g., department) and dynamically mask sensitive columns for some users while allowing full access for others. Which approach is most appropriate?

A data engineer created a DataStage job, but the run fails immediately with an authorization error when reading from an object storage source. Other platform services are running normally. What is the most likely issue to check first?

A client wants to combine data from multiple databases and object stores into a single logical view for analytics, while minimizing data movement and avoiding building new pipelines. Which Cloud Pak for Data capability is best suited?

A regulated client is designing a multi-team Cloud Pak for Data solution. They want strong isolation between teams, consistent governance policies across all teams, and a repeatable onboarding model for new teams. What design approach best meets these goals?