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

A customer is planning an IBM Cloud Pak for Data deployment on Red Hat OpenShift and wants to reduce risk in sizing and service onboarding. Which planning approach is most appropriate to establish a reliable baseline before installing multiple services?

A team wants to ensure that all Cloud Pak for Data platform components run only on a dedicated set of OpenShift worker nodes for operational isolation. Which Kubernetes/OpenShift mechanism best supports this requirement?

A data steward needs to ensure that a catalog contains only approved, curated datasets and that data scientists can discover them easily. Which Cloud Pak for Data capability best addresses this requirement?

A solution architect must recommend a way to operationalize a trained model so applications can request predictions via a stable endpoint with controlled access. Which approach is most appropriate in Cloud Pak for Data?

After installing Cloud Pak for Data, several service pods remain in Pending state. The cluster has free CPU and memory, but the pods show events indicating they cannot be scheduled due to a persistent volume issue. What is the most likely root cause?

A company requires that access to datasets in Cloud Pak for Data be controlled centrally and consistently across catalogs, regardless of which project a user belongs to. Which approach best meets this requirement?

A client wants to separate duties so that platform administrators can manage infrastructure but cannot view sensitive business data. Which design best supports this goal in Cloud Pak for Data on OpenShift?

A data engineering team needs to build repeatable pipelines that ingest data, apply transformations, and publish curated datasets for downstream analytics. They want orchestration, scheduling, and parameterization. Which Cloud Pak for Data capability is the best fit?

A regulated enterprise must ensure that sensitive columns (for example, national IDs) are masked for most users, but visible to a small compliance group, across multiple data assets published in governed catalogs. Which solution design best satisfies this requirement?

A global organization requires a highly available Cloud Pak for Data architecture that can tolerate the loss of a worker node without service outage, while also minimizing single points of failure in data services. Which design choice is most critical to meeting this requirement?

A solution architect is planning a new IBM Cloud Pak for Data deployment on OpenShift. The primary requirement is to minimize blast radius and simplify resource governance for multiple lines of business that will share the same OpenShift cluster. Which approach is the best practice?

A team can access Cloud Pak for Data in the browser, but when they run notebooks and try to read from an external S3-compatible object store, requests fail due to TLS errors. The object store uses an internal CA. What is the recommended fix?

A data governance lead wants a consistent way to ensure that sensitive columns (e.g., SSN) are masked for most users across analytics tools, but visible to a limited set of authorized users. Which Cloud Pak for Data capability best addresses this requirement?

A customer must integrate Cloud Pak for Data user authentication with their corporate identity provider and enforce group-based access in the platform. They also want single sign-on (SSO) for users. Which approach is most appropriate?

During a new deployment, several Cloud Pak for Data pods remain in Pending state. The OpenShift events show messages indicating insufficient CPU and memory on available nodes. What should the solution architect recommend first?

A regulated enterprise wants to ensure that no container images can be pulled and run in the Cloud Pak for Data namespace unless they are scanned and approved. Which control is most aligned with this requirement on OpenShift?

A data science team wants to operationalize models with repeatable deployments and controlled promotion from development to production. They also need model monitoring for drift and quality over time. Which Cloud Pak for Data capability best supports this end-to-end requirement?

An organization is designing for disaster recovery. They want to be able to restore Cloud Pak for Data state after a site outage, including persistent data and critical platform configuration. Which approach is most appropriate?

A customer requires strict network segmentation: only specific namespaces may communicate with Cloud Pak for Data services, and egress to external networks must be tightly controlled. Which design best addresses this requirement?

After deploying Cloud Pak for Data, users report intermittent authentication failures. The platform is integrated with an external identity provider. Cluster logs show time drift warnings across nodes, and the identity provider uses time-bound tokens. What is the most likely root cause and fix?

A solution architect is preparing a CP4D deployment plan and needs persistent storage for platform services and workloads. The storage must support ReadWriteMany (RWX) access for shared file workloads and be commonly supported for CP4D deployments. Which storage approach best meets this requirement?

After installing IBM Cloud Pak for Data, users can access the web UI but data scientists report they cannot start notebooks or create new runtime environments. Cluster nodes show high CPU usage, and the OpenShift cluster has no new worker nodes available. Which is the MOST likely cause?

A financial services company requires that only a central security team can create and manage platform users/groups in Cloud Pak for Data, while project admins can manage assets within their own projects. Which approach best satisfies this requirement?

A healthcare organization needs to ensure that personal health information (PHI) is protected in analytic datasets used across multiple teams. They want policy-driven masking to be applied consistently, regardless of which user queries the data through CP4D services. What is the BEST solution design?

A team has built a model in CP4D and must deploy it so that multiple consuming applications can request predictions. They also need to capture basic operational metrics (such as request counts and latency) and support controlled updates to the model without breaking clients. Which deployment approach is MOST appropriate?