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IBM C1000-173 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Planning and Designing a Cloud Pak for Data Solution20%- Plan network and storage infrastructure
  • 1. Plan for high availability and disaster recovery
  • 2. Design network policies and routes
  • 3. Determine storage class requirements (File, Block, Object)
- Size the environment
  • 1. Calculate resource requirements based on user load and services
  • 2. Select appropriate OpenShift cluster configurations
Topic 2: Installation and Configuration20%- Add and configure services
  • 1. Manage version upgrades of the platform and services
  • 2. Install and configure core add-on services (e.g., Data Virtualization, Watson Studio)
- Install Cloud Pak for Data on Red Hat OpenShift
  • 1. Use the IBM Cloud Pak for Data installer and operators
  • 2. Manage certificates and security settings
  • 3. Configure the ZenService and internal authentication
Topic 3: Data Virtualization, Governance, and Analytic Integration10%- Data Governance and Quality
  • 1. Understand the purpose of data governance (Steward, Catalog)
  • 2. Integrate with data fabric and knowledge graph concepts
- Manage data sources and virtualization
  • 1. Configure connections to databases and data warehouses
  • 2. Create and manage virtualized tables
Topic 4: Security15%- Implement security best practices
  • 1. Configure security context constraints (SCCs)
  • 2. Manage secrets and encryption at rest
  • 3. Understand compliance and auditing requirements
Topic 5: Administration and Monitoring15%- Monitor and maintain the environment
  • 1. Use OpenShift monitoring tools and CP4D logging
  • 2. Troubleshoot common pod and service failures
- User and access management
  • 1. Manage users, groups, and role-based access control (RBAC)
  • 2. Integrate with external identity providers (LDAP/SAML)
Topic 6: Cloud Pak for Data Architecture20%- Describe deployment models and licensing
  • 1. Differentiate between self-managed and cloud-managed deployments
  • 2. Understand subscription models and capacity requirements
- Explain the Cloud Pak for Data architecture, key components, and services
  • 1. Explain the integration with Red Hat OpenShift Container Platform
  • 2. Understand how services are deployed as pods in the OpenShift cluster
  • 3. Describe the purpose of Zen Core, Redis, and Postgres

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IBM Cloud Pak for Data v4.7 Architect Sample Questions (Q170-Q175):

NEW QUESTION # 170
What is a primary advantage of using Watson Pipelines in AI solution architecture?

Answer: D


NEW QUESTION # 171
Which plug-in is used by the Cloud Pak for Data Audit Logging service to forward audit records to a SIEM system?

Answer: D

Explanation:
The Audit Logging service in IBM Cloud Pak for Data uses Fluentd as the core log forwarding mechanism.
Fluentd output plug-ins are configured to route audit logs to external SIEM systems such as Splunk or QRadar. These plug-ins are versatile and support multiple formats and transport protocols. Other options listed-like Logstash, OSS/J, or Kafka-are not the designated default forwarding mechanisms used within the CP4D Audit Logging architecture.


NEW QUESTION # 172
Which of the following are considered when determining the correct storage options for IBM Cloud Pak for Data?

Answer: C


NEW QUESTION # 173
Which of the following best defines Disaster Recovery in IT systems?

Answer: C


NEW QUESTION # 174
What is the primary requirement to enforce data privacy in Cloud Pak for Data?

Answer: D


NEW QUESTION # 175
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