IBM Cloud Pak for Data v4.x Solution Architect Practice Exam 2025: Latest Questions

A solution architect is designing a highly available IBM Cloud Pak for Data platform on OpenShift. Which approach best aligns with Cloud Pak for Data architecture best practices for resiliency?

A team is preparing to install IBM Cloud Pak for Data on an existing OpenShift cluster. They want to validate prerequisites and detect missing cluster capabilities (storage classes, security settings, and required operators) before installing services. Which is the most appropriate action?

A data governance lead wants business terms, policies, and data asset metadata to be searchable and consistently applied across projects in Cloud Pak for Data. Which capability best addresses this requirement?

A data scientist needs to build a repeatable model training workflow where code and run results can be tracked for audit and reproducibility. Which Cloud Pak for Data approach best supports this?

After installing Cloud Pak for Data, a team reports that users can log in but cannot access any services in a specific project. Administrators confirm the services are running. What is the most likely cause?

A bank must enforce that sensitive columns (e.g., national IDs) are masked for most users while allowing a limited group to view raw values. They also need consistent enforcement across multiple analytics tools. Which design is most appropriate in Cloud Pak for Data?

A solution architect needs to design network access for Cloud Pak for Data where users access the platform through a single entry point and internal services remain reachable only within the cluster. Which OpenShift construct is typically used to expose the platform UI externally while keeping service-to-service traffic internal?

A team is implementing MLOps practices and needs a controlled way to move models from development to a production environment with approvals and the ability to roll back. Which approach best meets this requirement in Cloud Pak for Data?

During a new Cloud Pak for Data deployment, multiple service pods are stuck in Pending state. The events show messages indicating no nodes can satisfy the pod's persistent volume claims. What is the best next step for the solution architect?

An enterprise requires end-to-end lineage from data ingestion through transformation to curated datasets used by analytics, with the ability to assess impact when a source field changes. Which design best supports this requirement in Cloud Pak for Data?

A solution architect is planning a Cloud Pak for Data deployment on OpenShift. The company requires that all platform components and services be isolated from other OpenShift workloads and managed with least privilege. Which approach best meets this requirement?

A data governance team wants business users to discover curated data assets, understand definitions, and see data lineage where available. Which Cloud Pak for Data capability best addresses this need?

A project team needs to ensure that API keys, database passwords, and certificates used by Cloud Pak for Data integrations are not stored in plain text in notebooks or pipelines. What is the recommended approach?

After installing Cloud Pak for Data, users report that the web UI loads but some service tiles show "Not Ready" and pods are repeatedly restarting. The OpenShift events show frequent image pull errors. What is the most likely cause?

A regulated enterprise needs to ensure that only approved datasets can be used in analytics and ML projects, and that access is controlled centrally based on user roles. Which design best supports this requirement in Cloud Pak for Data?

A team is implementing data lineage for reporting to auditors. They want lineage to show how a curated table was produced from multiple sources via integration jobs. Which approach is most appropriate?

A solution architect must design Cloud Pak for Data for high availability. The cluster has multiple worker nodes across failure domains. Which guidance is most appropriate to reduce impact of node failure on critical services?

A data scientist wants to operationalize a trained model for real-time scoring and ensure consistent deployments across environments (dev, test, prod). Which approach is most aligned with Cloud Pak for Data best practices?

During installation planning, a customer requires that Cloud Pak for Data persist user-created assets and metadata reliably, even if nodes are replaced. They also need consistent performance for database-backed services. What storage design is most appropriate?

A financial services organization needs to enforce segregation of duties: platform administrators manage the OpenShift cluster, while data stewards manage governance policies and business glossary terms without needing cluster privileges. Which design best supports this separation in Cloud Pak for Data?

A Cloud Pak for Data administrator reports that after a node reboot, a newly deployed data service remains in Pending state because its pods cannot be scheduled. Existing services are running. The cluster shows the service namespace has a resource quota that is lower than the service’s requested CPU and memory. What is the BEST resolution?

A data governance team needs to ensure that a business term has an owner, a definition, and a standard set of synonyms, and that the term can be linked to physical data assets for discovery. Which Cloud Pak for Data capability best meets this requirement?

A solution architect must design Cloud Pak for Data so that multiple teams can share a common set of curated data products while still isolating their development work. The organization also requires consistent governance policies across teams. Which approach is MOST appropriate?

A team has trained a model in Watson Studio and wants to expose it to multiple business applications with consistent authentication, rate limiting, and logging. They also want a controlled lifecycle for model versions. What is the BEST way to implement this in Cloud Pak for Data?

An enterprise requires that sensitive columns (for example, national identifiers) are masked for most users across multiple analytics tools, but fully visible to a small compliance group. The requirement must be enforced centrally and consistently, not handled separately in each tool. Which design best satisfies this requirement in Cloud Pak for Data?