IBM Cloud Pak for Data v4.x Solution Architect Practice Exam: Test Your Knowledge 2025

An organization wants to deploy IBM Cloud Pak for Data on their existing Red Hat OpenShift Container Platform. Which deployment topology provides the highest level of resource isolation between production and development environments while minimizing infrastructure costs?

A solution architect needs to integrate multiple heterogeneous data sources including Oracle databases, MongoDB, and Amazon S3 buckets into Cloud Pak for Data. Which component should be used to establish connections to these diverse data sources?

A data science team needs to build and deploy machine learning models at scale. They require automated model lifecycle management, A/B testing capabilities, and model monitoring. Which Cloud Pak for Data service best addresses these requirements?

An organization must enforce data access policies based on user roles and ensure sensitive data is automatically masked for unauthorized users. Which Cloud Pak for Data capability should be implemented?

What is the primary purpose of the Common Core Services in Cloud Pak for Data architecture?

A company is experiencing performance degradation when running complex analytical queries against operational databases. They want to avoid impacting transactional workloads. Which approach using Cloud Pak for Data services would best address this challenge?

A data scientist wants to collaborate with business analysts on a project involving both Python notebooks and visual data preparation tools. Which Cloud Pak for Data service should be provisioned to support both user types effectively?

An enterprise needs to track data lineage from source systems through transformations to analytical reports to comply with regulatory requirements. Which Cloud Pak for Data components work together to provide end-to-end lineage visibility?

When sizing a Cloud Pak for Data deployment, which factors are most critical for determining the required compute resources for the OpenShift cluster?

A financial services company must ensure that personally identifiable information (PII) is automatically discovered and classified across their data estate. Which Cloud Pak for Data capability should be configured?

A solution architect is designing a real-time data integration pipeline that needs to capture changes from multiple source databases and stream them to Cloud Pak for Data for immediate analysis. Which approach is most appropriate?

An organization wants to implement AutoAI to accelerate model development. What type of machine learning problems can AutoAI help solve?

A multi-tenant Cloud Pak for Data environment requires strict resource allocation to prevent one project from consuming all available resources. Which OpenShift capability should be configured to enforce resource limits per project?

A data engineering team needs to process large volumes of semi-structured data (JSON, XML) from IoT devices. They require parallel processing capabilities and support for complex transformations. Which Cloud Pak for Data service is best suited for this requirement?

During a Watson Machine Learning model deployment, the operations team needs to monitor for model drift and performance degradation over time. Which Watson Machine Learning feature should be configured?

An enterprise is implementing a federated governance model where different business units maintain their own data catalogs but need to share selected assets across the organization. How should Watson Knowledge Catalog be configured to support this requirement?

A Cloud Pak for Data deployment needs to support high availability with automatic failover. Which architectural component is responsible for providing this capability at the platform level?

A data science team wants to use GPU acceleration for deep learning model training in Watson Studio. What infrastructure consideration must be addressed in the OpenShift cluster?

An organization needs to virtualize data from on-premises databases and cloud object storage, allowing users to query across these sources without data movement. Which Cloud Pak for Data service provides this capability?

A solution architect needs to implement a complete MLOps pipeline including model development, versioning, deployment, monitoring, and retraining. Which combination of Cloud Pak for Data services provides comprehensive MLOps capabilities?