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IBM C1000-168 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Service Management | - Managing Cloud Pak for Data services
|
| Topic 2: Installation and Configuration | - Cluster setup and prerequisites
|
| Topic 3: Monitoring, Maintenance, and Troubleshooting | - Problem determination
|
| Topic 4: Security and Access Management | - Platform security configuration
|
| Topic 5: Cloud Pak for Data Architecture and Deployment | - Platform architecture overview
|
IBM Cloud Pak for Data v4.6 Administrator Sample Questions:
1. What is a characteristic of achieving multitenancy with a single instance of Cloud Pak for Data?
A) A single database is shared among all tenants without isolation.
B) It requires additional hardware for each new tenant.
C) Tenants are separated using Kubernetes namespaces within the same instance.
D) Each tenant has its own dedicated instance of Cloud Pak for Data.
2. Which volume backup can be created for Cloud Pak for Data?
A) Cloud Pak for Data AI Factory
B) Cloud Pak for Data foundational services
C) Cloud Pak for Data foundational operators
D) Cloud Pak for Data instance project (namespace)
3. What are effective troubleshooting steps for the Cloud Pak for Data platform?
A) Reviewing logs for error messages related to the issue at hand.
B) Rebooting the entire cluster at the first sign of trouble.
C) Checking the health of individual services via the Web UI.
D) Isolating the component or service experiencing issues to minimize impact.
4. How do LDAP groups integrate with Cloud Pak for Data User Roles? Select all that apply.
A) Integration allows for dynamic role assignment based on LDAP group membership.
B) Cloud Pak for Data administrators must manually map LDAP groups to specific user roles.
C) LDAP groups can be directly used as roles without any additional configuration.
D) LDAP groups are automatically converted into Cloud Pak for Data user roles.
5. Which two Cloud Pak for Data services implement additional network policies as part of their installation?
A) SPSS Modeler
B) Watson Query
C) Data Refinery
D) Planning Analytics
E) Db2 Big SQL
Solutions:
| Question # 1 Answer: C | Question # 2 Answer: C | Question # 3 Answer: A,C,D | Question # 4 Answer: A,B | Question # 5 Answer: B,E |
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