IBM Cloud Pak for Data v4.x Administrator Intermediate Practice Exam: Medium Difficulty 2025

An administrator is deploying Cloud Pak for Data on an OpenShift cluster and needs to ensure that the platform can handle workloads requiring GPU acceleration for machine learning tasks. The cluster has nodes with NVIDIA GPUs installed. What configuration steps must be completed to enable GPU support?

A Cloud Pak for Data administrator notices that several data science projects are experiencing slow performance when accessing data from a connected data source. After investigation, they discover that multiple users are repeatedly querying the same large datasets. What feature should the administrator implement to improve performance and reduce load on the source system?

An organization has deployed Cloud Pak for Data with multiple services and wants to implement role-based access control (RBAC) where data engineers can create and manage database connections, but data analysts should only be able to use existing connections without viewing credentials. How should the administrator configure this access pattern?

During a Cloud Pak for Data installation, the administrator encounters an error indicating that the topology of the cluster does not meet requirements. The cluster has 3 master nodes and 5 worker nodes, but the installation fails validation. What is the most likely cause and resolution?

A Cloud Pak for Data administrator needs to troubleshoot a Watson Machine Learning deployment that fails to start. The pods are in CrashLoopBackOff state. Which sequence of diagnostic steps would be most effective in identifying the root cause?

An enterprise is implementing Cloud Pak for Data and needs to integrate with their existing LDAP directory for user authentication while also supporting service accounts for automated processes. What authentication configuration should the administrator implement?

A data services administrator needs to provision a Watson Studio service instance that will be used by multiple projects requiring different Spark runtime configurations. Some projects need large memory allocations while others require more CPU cores. What is the most efficient way to support these varying requirements?

After a Cloud Pak for Data upgrade, an administrator notices that the control plane is functional but several data service pods are stuck in Pending state. The pod events show 'FailedScheduling' with the message 'Insufficient memory'. The cluster has adequate total memory available. What is the most likely cause and solution?

An administrator is configuring backup and disaster recovery for a Cloud Pak for Data deployment. The organization requires the ability to restore the platform and user projects to a different OpenShift cluster in another region. Which components and data must be included in the backup strategy?

A Cloud Pak for Data deployment is experiencing performance degradation during peak usage hours. Monitoring shows that Watson Studio notebook kernels are frequently being killed and restarted. Investigation reveals that total cluster memory usage approaches 90% during these periods. What combination of actions would best address this issue?