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IBM C1000-173 Exam Syllabus Topics:

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

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IBM Cloud Pak for Data v4.7 Architect Sample Questions (Q14-Q19):

NEW QUESTION # 14
After installing Watson Assistant, which of the following tasks are crucial? (Select two)

Answer: A,C


NEW QUESTION # 15
When developing database applications with Db2/BigSQL and REST interfaces, what is crucial?

Answer: A


NEW QUESTION # 16
Which of the following services is NOT included in IBM Cloud Pak for Data?

Answer: B

Explanation:
IBM Cloud Pak for Data includes services like Watson Studio (for AI and data science), Watson Knowledge Catalog (for data governance), and IBM DataStage (for data integration). IBM Cloud Pak for Multicloud Management is a different solution focused on managing multiple cloud environments, not data.


NEW QUESTION # 17
Which of the following is watsonx.data most similar to?

Answer: A

Explanation:
watsonx.data is an open hybrid data lakehouse platform, combining the strengths of a data lake (flexibility and cost efficiency for unstructured data) with the structured query and performance features of a data warehouse. It is designed to handle both analytics and large-scale data storage, making it a hybrid solution rather than exclusively a data lake or data warehouse.


NEW QUESTION # 18
How does Cloud Pak for Data leverage OpenShift to enhance service availability?

Answer: D


NEW QUESTION # 19
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