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Last Updated: Jul 23, 2026
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| Section | Objectives |
|---|---|
| Cloud Pak for Data Architecture and Deployment | - Platform architecture overview
|
| Security and Access Management | - Platform security configuration
|
| Installation and Configuration | - Platform installation and upgrades
|
| Service Management | - Managing Cloud Pak for Data services
|
| Monitoring, Maintenance, and Troubleshooting | - Problem determination
|
1. 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).
2. What are the steps to install Cloud Pak for Data platform and services online?
A) Manually downloading each service package and installing them via the OpenShift console.
B) Using the Cloud Pak for Data CLI to install the platform, followed by individual services.
C) Running a single command that automatically detects and installs all services.
D) Configuring each service individually before starting the platform installation.
3. To obtain an IBM entitlement API key, which steps must be followed? Select all that apply.
A) Access the IBM Container Library and request an entitlement key.
B) Log in to the IBM Cloud Pak for Data management console.
C) Verify your email address associated with the IBM Cloud account.
D) Create an IBM Cloud account if you do not already have one.
4. Which statement is true about setting a quota on a service and scaling a service?
A) Services are automatically scaled when quota enforcement is enabled.
B) Altering the scale of a service automatically adjusts the quota set for that service.
C) Altering the quota set for a service automatically adjusts the scale for that service.
D) Scaling alters the number of pods running in a service; quotas are a target for vCPU and Memory used by the service.
5. Multitenancy with tethered projects in Cloud Pak for Data is described by which of the following?
A) Tethering allows projects to share compute resources but not data storage.
B) Projects are logically separated but share the same cluster resources.
C) Projects are physically separated on different clusters.
D) Each project requires its own set of user credentials.
Solutions:
| Question # 1 Answer: A,B,C | Question # 2 Answer: B | Question # 3 Answer: A,C,D | Question # 4 Answer: D | Question # 5 Answer: B |
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