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

An architect is planning an IBM Cloud Pak for Data deployment on Red Hat OpenShift and wants to reduce risk during installation. Which approach is a recommended best practice before installing any services?

A data engineering team needs to ingest files from an on-premises SFTP server into Cloud Pak for Data and then transform them using Spark jobs. Which service combination best fits this requirement?

A data scientist has trained a model in a notebook and wants to deploy it so applications can call it through a REST endpoint with managed runtime and scaling. Which Cloud Pak for Data component should be used?

A security team requires that users authenticate with the corporate identity provider and that group membership controls access to Cloud Pak for Data projects. What is the recommended approach?

A company wants business users to discover trusted datasets with clear ownership, glossary terms, and automated classification of sensitive columns. Which design best meets this requirement?

A solution needs to provide a unified logical view of data across multiple databases without moving the data, while still allowing performance-optimized pushdown when possible. Which capability should the architect recommend?

A team uses pipelines to train models and wants consistent promotion from development to production with traceability of model versions and associated metadata. Which approach best addresses this requirement?

After integrating Cloud Pak for Data with an external identity provider, users can authenticate but cannot access services they were assigned to. An administrator suspects permissions are missing at the cluster level. What is the most likely cause?

A regulated enterprise requires end-to-end auditability showing where a curated dataset originated, what transformations were applied, and which downstream analytics assets consumed it. Which architecture best satisfies this requirement within Cloud Pak for Data?

A Cloud Pak for Data platform is hosting multiple teams with unpredictable workloads. The architect must prevent one team's heavy Spark jobs from starving other critical services, while keeping a shared platform. What is the best design approach?

A solution architect must plan storage for IBM Cloud Pak for Data services that require shared file access and support for ReadWriteMany (RWX) across pods. Which storage approach best meets this requirement on OpenShift?

A project team needs to let business users browse, search, and request access to curated data assets within Cloud Pak for Data. Which capability should the solution architect recommend?

An organization wants to automatically build and maintain a central directory of connected data assets (tables, files, schemas) to accelerate discovery and governance. What should be enabled in Cloud Pak for Data?

A company must enforce that sensitive columns (e.g., national IDs) are masked for most users but visible to a restricted group, regardless of how the data is accessed through Cloud Pak for Data. Which design best satisfies this requirement?

A data engineer wants to expose a single logical view of customer data across multiple sources without physically moving the data. The view should be consumable by analytics tools and support query pushdown when possible. Which approach is most appropriate?

A team is deploying machine learning models and needs to ensure they can consistently reproduce training runs, including code, libraries, and data references. What is the best practice in Cloud Pak for Data?

After integrating Cloud Pak for Data with the enterprise identity provider, users can log in but cannot create projects or access platform services. Cluster administrators confirm authentication is successful. What is the most likely missing configuration?

A regulated enterprise requires that all inbound traffic to Cloud Pak for Data be routed through a corporate-approved endpoint with consistent TLS policies, HTTP header controls, and centralized auditing. What is the best architectural recommendation?

A company uses Watson Knowledge Catalog for governance and wants to enforce that only approved datasets can be used for model training and scoring. They also need lineage from model outputs back to source data assets. Which design best supports this end-to-end governance requirement?

A Cloud Pak for Data deployment experiences intermittent failures where some services cannot reach others. Investigation shows pods are scheduled across multiple subnets with restrictive egress controls, and DNS resolution is inconsistent between nodes. What is the most appropriate architectural remediation?

A regulated enterprise wants to let hundreds of analysts create dashboards without granting them direct database credentials. The solution must enforce row-level restrictions based on the user’s group membership and keep auditability centralized. Which approach best meets this requirement in Cloud Pak for Data?

A team reports that Data Refinery jobs fail intermittently after large file ingestions. The cluster shows normal CPU but consistently high pod restarts for the Refinery runtime. What is the MOST likely underlying cause to investigate first?

A Solution Architect must design for high availability of Cloud Pak for Data services across worker node failures. Which Kubernetes practice is MOST appropriate to improve availability for critical control-plane and service pods?

A data science team needs to promote a machine learning model to production with approval gates, full lineage, and the ability to compare candidate models before deployment. Which capability best supports this end-to-end requirement in Cloud Pak for Data?

An organization wants all data access in Cloud Pak for Data to be traceable to a corporate identity provider, and they want to immediately remove access when an employee leaves. Which approach is the BEST practice?