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

An enterprise is planning an IBM Cloud Pak for Data deployment on Red Hat OpenShift across two data centers. The primary requirement is to continue serving user traffic if one data center becomes unavailable. Which design best meets this requirement?

A solution architect needs to help a project team understand what IBM Cloud Pak for Data Data Virtualization provides. Which statement best describes Data Virtualization in Cloud Pak for Data?

A data governance team wants business users to easily find trusted datasets and understand how they can be used. Which combination of capabilities in Cloud Pak for Data most directly addresses this goal?

A data scientist trains models in Watson Studio and the organization wants governed promotion of models to production with auditability. Which Cloud Pak for Data capability is primarily used to manage this lifecycle?

Users report that they can log in to Cloud Pak for Data but cannot access certain services they previously used. Platform administrators confirm the pods are running and healthy. What is the most likely cause?

A bank requires separation of duties: platform administrators can manage the OpenShift cluster and Cloud Pak for Data platform, but they must not be able to view sensitive customer data in catalogs or projects. What approach best supports this requirement?

A team uses Data Virtualization to query multiple sources. Some queries are slow because large datasets are repeatedly read from a remote database over the network. Which Data Virtualization approach most directly improves performance while still allowing users to query through the virtual layer?

A data governance team wants to ensure that when a dataset containing personal data is added to a catalog, it is automatically classified, and a policy is applied to mask sensitive fields for most users. What is the best high-level design in Cloud Pak for Data?

A global retailer wants to implement MLOps with strict requirements: every model deployment must be reproducible, traceable to training data and code, and promoted through controlled stages (dev/test/prod) with approval gates. Which architecture best meets these requirements in Cloud Pak for Data?

After integrating Cloud Pak for Data with an enterprise identity provider, intermittent login issues occur: some users authenticate successfully, while others receive authorization errors when accessing the platform UI. The identity provider is stable and OpenShift authentication works consistently. What is the most likely CP4D-specific root cause to investigate first?

A solution architect is planning a new IBM Cloud Pak for Data deployment on OpenShift. The platform team requires that Cloud Pak for Data services are isolated from other workloads and that node-level resources are reserved for platform components. Which approach best meets this requirement?

A user wants to access tables from multiple remote databases in Cloud Pak for Data without copying the data into a new repository. They also want to join those remote tables in a single query. Which capability should be used?

A data governance team needs to standardize business definitions (for example, what constitutes a 'Customer') and associate those definitions with data assets so analysts can find and interpret data consistently. Which feature best supports this requirement?

A team uses Data Virtualization to query a high-traffic operational database. During peak hours, users report slow queries and the source DBA reports increased load from Cloud Pak for Data. What is the most appropriate architectural mitigation?

A regulated enterprise requires that analysts can discover data assets in a catalog but must request approval before accessing sensitive datasets. Once approved, access should be granted automatically based on policy. Which design best satisfies this?

A team trained multiple versions of an ML model and wants to promote a selected version from development to production with approval gates, consistent runtime configuration, and the ability to roll back if issues occur. Which Cloud Pak for Data capability best addresses this lifecycle need?

After enabling platform logging/monitoring, the operations team wants to quickly determine which Cloud Pak for Data service is consuming the most CPU and memory on the cluster and whether the issue is isolated to specific pods. What is the best first step?

A company needs to ingest data from an on-premises relational database into Cloud Pak for Data on a schedule, applying transformations and ensuring lineage is captured for governed datasets. Which approach is most suitable?

An enterprise requires that Cloud Pak for Data user authentication is integrated with a corporate directory and that access is controlled via centrally managed groups. Additionally, administrators need to ensure least-privilege access to platform services. Which design best meets these requirements?

A solution architect must design a multi-tenant Cloud Pak for Data environment where teams share the same platform but require strong separation of workloads, quotas, and administrative boundaries. Teams must not be able to impact each other’s resource consumption. Which design is most appropriate?

A solution architect must design an IBM Cloud Pak for Data deployment that will host regulated datasets. The security team requires that administrators must not be able to view clear-text user passwords in the platform configuration. Which approach best meets this requirement?

A data engineering team reports that a Data Virtualization (DV) query across several remote tables is slow and repeatedly triggers network timeouts. They want to reduce the amount of data transferred during query execution without copying all source data into the platform. What is the most appropriate DV design change?

A governance lead wants to ensure that business terms and classifications are applied consistently across multiple catalogs and projects. They also want stewards to manage those terms centrally and propagate changes without editing each catalog entry manually. Which Cloud Pak for Data capability best addresses this need?

A client wants to deploy IBM Cloud Pak for Data in a disconnected (air-gapped) OpenShift environment. During installation, the operator cannot pull required container images and reports image pull failures. Which architectural requirement is most critical to resolve this issue?

A machine learning team must deploy models so that only approved models can be promoted to production and every deployment is traceable to an approval decision. Which approach best supports this governance requirement within Cloud Pak for Data?