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

An organization is designing IBM Cloud Pak for Data to isolate workloads across multiple departments while sharing the same OpenShift cluster. They need separate service instances, quotas, and governance boundaries per department. What is the recommended approach?

A team wants Cloud Pak for Data users to authenticate with the corporate identity provider and enforce centralized password policies. Which integration best meets this requirement?

A solution architect needs a shared, searchable business glossary and consistent term definitions across analytics and data science teams in Cloud Pak for Data. Which capability should be used?

Users report that scheduled jobs and pipelines in Cloud Pak for Data are intermittently failing due to resource pressure. What is the most appropriate first action for an operations team?

A customer requires that no data service traffic between Cloud Pak for Data components is sent in clear text. What architectural control best addresses this requirement across the platform?

A deployment uses multiple OpenShift worker node pools. The customer wants compute-heavy workloads (for example, model training) to avoid running on nodes reserved for general platform services. What is the best practice approach?

A data engineering team needs to ingest data from relational databases and SaaS applications, transform it, and publish curated datasets for analytics in Cloud Pak for Data. Which approach best fits this requirement?

A team wants to reduce time spent troubleshooting data quality issues by showing where a field originated and how it was transformed across pipelines and reports. Which capability should be emphasized in the solution design?

After onboarding a regulated workload, the security team requires that sensitive columns be masked for most users, while a limited group can view clear text for approved use cases. What is the best way to implement this in Cloud Pak for Data?

A Cloud Pak for Data environment experiences periodic slowdowns during peak hours. Metrics show frequent pod restarts and CPU throttling for key services, but node utilization is moderate. Which change is most likely to address the root cause?

A solution architect must design a CP4D deployment where the platform team owns cluster-level resources but multiple data product teams must independently manage their CP4D assets and service instances with isolation. Which approach best aligns with CP4D operating model best practices?

During planning, a customer requires that all CP4D workloads can only run on a dedicated set of worker nodes, and no other cluster workloads may schedule there. Which OpenShift mechanism should be used to enforce this separation?

A data engineer wants to publish curated datasets so that business users can easily search, understand, and request access using governance workflows. Which CP4D capability best fits this requirement?

A customer plans to run AI training workloads that are bursty and CPU-intensive, and also latency-sensitive data services that should remain stable. They want to avoid training jobs starving critical services. Which design is most appropriate?

A CP4D environment uses an enterprise IdP. Users can authenticate, but group membership is not reflected in CP4D and role assignments based on groups do not work. Which configuration issue is the most likely cause?

A team needs to build a governed data pipeline that ingests files from object storage, performs transformations, and writes curated outputs back to storage while tracking lineage. Which CP4D approach best addresses this end-to-end requirement?

After deploying CP4D, users report intermittent timeouts accessing the CP4D web UI and APIs. Cluster metrics show occasional spikes in ingress traffic. Which operational action is most appropriate to improve resiliency at the entry point?

A customer wants to enable self-service analytics where users can query data across multiple heterogeneous sources without copying data into a central warehouse. They also require consistent access control and masking rules. Which CP4D capability is the best fit?

A regulated enterprise must ensure that CP4D backups are both encrypted and recoverable even if the cluster is lost. They also require periodic restore tests. Which backup strategy best meets these requirements?

A CP4D deployment spans multiple zones. The architect must design for high availability such that a zone failure does not take down CP4D control plane components and critical services. Which combination is most appropriate?

A Cloud Pak for Data cluster uses OpenShift. A project team needs to allow an application running outside the cluster to call the Cloud Pak for Data platform APIs. The team wants the simplest approach that aligns with recommended access patterns and supports TLS. What should the solution architect recommend?

An organization must ensure that users cannot export sensitive columns from governed tables to external object storage. They also want policies to apply consistently across analytics tools within Cloud Pak for Data. Which approach best meets this requirement?

After enabling a new LDAP group for Cloud Pak for Data access, users in that group can authenticate but cannot see any projects or catalogs. What is the most likely cause?

A solution architect is designing a multi-tenant Cloud Pak for Data environment. The requirement is to isolate workloads so that teams cannot impact each other with runaway resource usage, while still sharing the same platform instance. Which design best addresses this?

A data engineering pipeline writes large parquet datasets to object storage, and downstream notebooks read them through Cloud Pak for Data. Users report intermittent slow reads and occasional 'out of memory' errors in notebook sessions after a recent data growth spike. What is the best next step to stabilize performance and reduce failures?