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IBM C1000-173 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Data Virtualization, Governance, and Analytic Integration10%- Manage data sources and virtualization
  • 1. Create and manage virtualized tables
  • 2. Configure connections to databases and data warehouses
- Data Governance and Quality
  • 1. Understand the purpose of data governance (Steward, Catalog)
  • 2. Integrate with data fabric and knowledge graph concepts
Topic 2: 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 3: 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. Use the IBM Cloud Pak for Data installer and operators
  • 2. Manage certificates and security settings
  • 3. Configure the ZenService and internal authentication
Topic 4: Security15%- Implement security best practices
  • 1. Understand compliance and auditing requirements
  • 2. Configure security context constraints (SCCs)
  • 3. Manage secrets and encryption at rest
Topic 5: 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. Understand how services are deployed as pods in the OpenShift cluster
  • 3. Describe the purpose of Zen Core, Redis, and Postgres
- Describe deployment models and licensing
  • 1. Understand subscription models and capacity requirements
  • 2. Differentiate between self-managed and cloud-managed deployments
Topic 6: Planning and Designing a Cloud Pak for Data Solution20%- Plan network and storage infrastructure
  • 1. Design network policies and routes
  • 2. Determine storage class requirements (File, Block, Object)
  • 3. Plan for high availability and disaster recovery
- Size the environment
  • 1. Select appropriate OpenShift cluster configurations
  • 2. Calculate resource requirements based on user load and services

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IBM Cloud Pak for Data v4.7 Architect 認定 C1000-173 試験問題 (Q57-Q62):

質問 # 57
What are the key benefits of utilizing Watson Pipelines in data processing? (Select two)

正解：A、B


質問 # 58
Which of the following are essential considerations when scaling Watson Assistant solutions across different geographies? (Select two)

正解：A、D


質問 # 59
What is a primary benefit of using watsonx.data over traditional data warehouse solutions?

正解：D


質問 # 60
What outcomes can be achieved from Match 360?

正解：D

解説：
Match 360 is IBM's master data management (MDM) service integrated into Cloud Pak for Data. It produces master data views along with statistics, graphs, and insights that allow users to explore, analyze, and understand their master data entities (e.g., customers, products). While it does integrate data from disparate sources, its focus is on consolidating and providing master data analysis rather than virtual views (B) or conversational analytics (A).


質問 # 61
How does Watson Assistant support voice interaction?

正解：D


質問 # 62
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