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

A solution architect is planning an IBM Cloud Pak for Data deployment on OpenShift. The customer requires that the platform can withstand the loss of a worker node with minimal disruption. Which design choice best supports this requirement?

A customer wants to connect Cloud Pak for Data to their enterprise LDAP so users can log in with corporate credentials and groups can be used for access control. Where should this integration be configured?

A business analyst needs to access data from multiple databases in a single query without copying the data into a new repository. Which Cloud Pak for Data capability is designed for this requirement?

A team wants to standardize repeatable machine learning model training and deployment with approvals and traceability across environments. Which approach best fits this goal on Cloud Pak for Data?

A customer wants to isolate platform administration duties from data stewardship. Platform admins should manage cluster-level configuration, while data stewards should curate and govern data assets. Which design best supports separation of duties?

After installing Cloud Pak for Data, users report that some services cannot reach external data sources. The OpenShift cluster uses restricted network egress and requires traffic to go through an enterprise proxy. What is the most appropriate configuration step?

A data engineer virtualizes several large tables. Query performance is poor because each query triggers expensive remote scans on a source database over a slow network link. Which Data Virtualization feature best addresses this issue while still minimizing data movement?

A regulated customer needs to ensure that sensitive columns are protected consistently when analysts query data through Data Virtualization. They want masking to be enforced centrally without requiring changes in every consuming tool. What is the best approach?

A customer is designing Cloud Pak for Data for a highly regulated environment. They must ensure that private keys used for TLS termination and service credentials are rotated and stored securely, with access tightly controlled and auditable. Which approach is most appropriate?

A company wants to train models in one project but ensure only approved models can be deployed and used for scoring by applications. They also require an audit trail of who promoted and deployed each model. Which architecture pattern best satisfies these requirements?

An enterprise is designing IBM Cloud Pak for Data on OpenShift for multiple lines of business. They want strong workload isolation between teams while still sharing the same cluster for operational efficiency. Which approach best meets this requirement?

A solution architect needs to provide secure access to a Cloud Pak for Data endpoint from internal corporate networks. The security team requires TLS termination using enterprise certificates and centralized control of ingress. What is the best practice approach?

A data engineer wants to provide analysts a unified view of data across Db2, Oracle, and object storage without copying data into a new repository. Which Cloud Pak for Data capability is designed for this use case?

After integrating Cloud Pak for Data with the corporate LDAP, some users can authenticate but do not see any projects or services they should have access to. What is the most likely cause?

A team wants to ensure that datasets used for model training in Cloud Pak for Data have documented lineage, ownership, and business terms, and that sensitive fields are classified consistently. Which combination best addresses these requirements?

A company uses Data Virtualization and notices a complex query joining multiple sources performs poorly. They want to improve performance while minimizing data movement. What is the best first action for the architect?

A customer requires auditability for administrative actions across the Cloud Pak for Data platform (e.g., user/role changes, configuration updates). Which design best satisfies this requirement?

A data science team must deploy a model and ensure that scoring requests are encrypted in transit, can be authenticated/authorized, and can be consumed by external applications through a stable endpoint. What is the recommended approach in Cloud Pak for Data?

An organization must allow Cloud Pak for Data to access data sources in a highly restricted network segment. Security requires that credentials are never embedded in notebooks or pipeline code and must be rotated centrally. Which architecture best meets these constraints?

A regulated enterprise needs strict separation between development and production workloads for Cloud Pak for Data, including different administrators, network boundaries, and change control. They also want to reduce the risk that development activities impact production availability. Which design is most appropriate?

A customer wants to install IBM Cloud Pak for Data on Red Hat OpenShift in an environment with strict separation between platform operations and data/AI operations. Platform operators must control cluster-wide resources, while data teams should manage only Cloud Pak for Data services and projects. Which approach best supports this operating model?

An organization is planning a Cloud Pak for Data deployment for multiple business units. They require strong isolation of workloads, independent lifecycle management of services per unit, and the ability to apply different resource quotas. Which planning decision best aligns with these requirements?

A user can successfully preview tables from a virtualized data source but receives an authorization error when running a longer analytic query through Data Virtualization. The database credentials are valid. Which is the most likely cause?

A solution architect must design an AI/ML workflow where data scientists train models in Watson Studio and then deploy them for online scoring. The customer requires that scoring endpoints be governed, auditable, and promoted through environments (dev/test/prod) with controlled approvals. Which component best addresses these requirements?

After integrating Cloud Pak for Data with an enterprise LDAP, users can log in but do not see any Cloud Pak for Data services or projects they should have access to. Platform operators confirm that authentication succeeds. What is the most appropriate next step to resolve the authorization issue?