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IBM Cloud Pak for Data v4.6 Administrator Sample Questions:

1. How can storage volumes be managed effectively in Cloud Pak for Data?

A) Using Kubernetes Persistent Volume Claims (PVCs) for dynamic provisioning.
B) Allocating a single large volume to be shared by all services.
C) By manually resizing volumes on the physical storage device.
D) Monitoring and adjusting storage based on usage metrics.

2. What are the system requirements for deploying Cloud Pak for Data?

A) High-speed internet access with no firewall restrictions.
B) A compatible Kubernetes or OpenShift cluster environment.
C) A Windows-based operating system for the host machines.
D) At least 2GB of RAM and a dual-core processor.

3. How can the REST API be utilized in administering Cloud Pak for Data?

A) To stream real-time analytics data to external systems.
B) To directly access and modify the underlying operating system settings.
C) For automating the deployment of service instances.
D) Managing users and their access rights.

4. Describe the deployment architecture of Cloud Pak for Data.
Which of the following components are essential? Select all that apply.

A) Load balancers for distributing user requests to different services.
B) A centralized logging service for all microservices.
C) Independent scaling mechanisms for each microservice.
D) A dedicated namespace for each type of service (e.g., analytics, data management).

5. Which of the following are essential steps in performing backup procedures for Cloud Pak for Data?

A) Restarting the cluster to apply backup settings.
B) Documenting the current configuration of the cluster.
C) Snapshotting all persistent volumes.
D) Backing up the etcd database.

Solutions: