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

A solution architect is planning a new IBM Cloud Pak for Data deployment on OpenShift. The customer wants an approach that simplifies lifecycle management and ensures consistent installation across environments. Which approach is recommended?

A data governance lead wants business users to discover datasets, understand definitions, and request access using a governed workflow inside Cloud Pak for Data. Which capability best addresses this requirement?

An organization must enforce that all data in the platform is encrypted in transit. Which design choice best meets this requirement for Cloud Pak for Data access?

A team wants to standardize how data scientists collaborate, share datasets, and manage notebooks and assets within Cloud Pak for Data. What is the primary construct they should use?

A customer requires a high-level architecture plan for Cloud Pak for Data that supports multiple lines of business with different administrators while sharing the same OpenShift cluster. Which design best aligns with best practices?

After deploying Cloud Pak for Data, users report that the web interface is intermittently slow during business hours. Cluster metrics show worker nodes near CPU saturation. What is the most appropriate next action for a solution architect?

A data engineering team needs to ingest changes from an operational database into an analytics store with low latency while minimizing impact on the source system. Which approach best fits this requirement within the Cloud Pak for Data ecosystem?

A platform team is planning upgrades and wants to reduce downtime for critical analytics workloads. Which practice best supports safer upgrades of Cloud Pak for Data and its services?

A regulated enterprise must ensure that only approved, curated data assets can be used for machine learning training and that lineage can be demonstrated from source to model. Which end-to-end design best meets the requirement?

A Cloud Pak for Data deployment must integrate with the enterprise identity provider so that users authenticate with corporate credentials and access is centrally managed. The customer also requires group-based authorization in Cloud Pak for Data. Which integration best fulfills this requirement?

A solution architect is planning a Cloud Pak for Data deployment and must ensure the platform services and workloads can scale independently while minimizing resource contention. Which design approach best supports this requirement?

During a Cloud Pak for Data installation, the cluster nodes show sufficient CPU and memory, but the install validation fails with errors related to persistent volumes not being provisioned. What is the most likely root cause?

A governance team wants a business glossary where terms, classifications, and ownership can be defined and then applied consistently across assets discovered in the platform. Which Cloud Pak for Data capability should be used?

A bank must ensure that only approved columns from a sensitive table are exposed to analysts, while the original table remains unchanged in the source system. The solution should also track who accessed the data and when. Which approach best meets these requirements in Cloud Pak for Data?

An organization needs to move data nightly from an operational database into a cloud object store and then load curated data into an analytics warehouse. They want scheduling, operational monitoring, and reusable pipelines. Which component best fits this requirement?

A data scientist wants to deploy a trained model so applications can call it via a REST endpoint with managed runtime, access control, and lifecycle governance. Which Cloud Pak for Data capability is designed for this?

A Cloud Pak for Data cluster uses an external enterprise container registry. During service installation, image pulls intermittently fail with authorization errors. The registry team confirms credentials are valid. What is the most appropriate next step for the solution architect to verify and remediate?

A security team requires that platform user access align with corporate identity groups and that user lifecycle (joiner/mover/leaver) is centrally managed. Which approach is recommended for Cloud Pak for Data access management?

After an OpenShift node outage, Cloud Pak for Data services recover but several analytics workloads show degraded performance and frequent pod evictions. Resource utilization indicates memory pressure on worker nodes, and many pods have equal priority. What is the best architectural/operational recommendation to improve resiliency for critical services?

An enterprise wants to enable governed self-service analytics. Data engineers publish curated datasets, and analysts must be able to discover them, request access, and understand data meaning and lineage. The organization also needs to enforce policies consistently across many projects. Which combined design best meets the goal?

A solution architect needs to plan persistent storage for IBM Cloud Pak for Data on Red Hat OpenShift. The platform must support ReadWriteMany access for shared services and be compatible with dynamic provisioning. Which storage characteristic is MOST important to validate during planning?

During an installation, the Cloud Pak for Data operator reports that a required operand cannot be scheduled. The OpenShift cluster has enough CPU and memory, but pods remain in Pending with messages indicating a mismatch with node taints. What is the MOST likely cause?

A data governance team wants business terms and classifications to be applied consistently across assets from multiple projects in Cloud Pak for Data. They also want automated scanning to detect sensitive data and propagate classifications where possible. Which capability best meets these requirements?

A bank requires that data scientists can train models in Cloud Pak for Data but must NOT be able to export training datasets or model artifacts outside the platform. The security team also wants auditability of access to sensitive assets. Which approach BEST addresses these requirements?

A team is designing an analytics solution where model training must be repeatable and deployable across environments (dev, test, prod). They need traceability from data used for training to the deployed model and want to reduce manual steps. Which design is MOST appropriate in Cloud Pak for Data?