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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. Determine storage class requirements (File, Block, Object)
  • 3. Design network policies and routes
- Size the environment
  • 1. Calculate resource requirements based on user load and services
  • 2. Select appropriate OpenShift cluster configurations
Topic 2: Security15%- Implement security best practices
  • 1. Manage secrets and encryption at rest
  • 2. Configure security context constraints (SCCs)
  • 3. Understand compliance and auditing requirements
Topic 3: Cloud Pak for Data Architecture20%- Explain the Cloud Pak for Data architecture, key components, and services
  • 1. Describe the purpose of Zen Core, Redis, and Postgres
  • 2. Explain the integration with Red Hat OpenShift Container Platform
  • 3. Understand how services are deployed as pods in the OpenShift cluster
- Describe deployment models and licensing
  • 1. Differentiate between self-managed and cloud-managed deployments
  • 2. Understand subscription models and capacity requirements
Topic 4: Installation and Configuration20%- Install Cloud Pak for Data on Red Hat OpenShift
  • 1. Manage certificates and security settings
  • 2. Use the IBM Cloud Pak for Data installer and operators
  • 3. Configure the ZenService and internal authentication
- 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)
Topic 5: Administration and Monitoring15%- User and access management
  • 1. Manage users, groups, and role-based access control (RBAC)
  • 2. Integrate with external identity providers (LDAP/SAML)
- Monitor and maintain the environment
  • 1. Use OpenShift monitoring tools and CP4D logging
  • 2. Troubleshoot common pod and service failures
Topic 6: 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. Understand the purpose of data governance (Steward, Catalog)
  • 2. Integrate with data fabric and knowledge graph concepts

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IBM Cloud Pak for Data v4.7 Architect Sample Questions (Q160-Q165):

NEW QUESTION # 160
How does IBM Data Virtualization aid in the creation of a Data Fabric?

Answer: C


NEW QUESTION # 161
Which IBM Cloud Pak for Data service would you use for building AI models and running experiments?

Answer: B


NEW QUESTION # 162
What advantage does data replication hold over ETL tools for multi-site data distribution?

Answer: A


NEW QUESTION # 163
Why is data replication crucial for real-time data changes?

Answer: D


NEW QUESTION # 164
Insurance industry datasets frequently include personally identifiable information (PII) and many data analysts need access to datasets but not to PII.
Which Cloud Pak for Data services leverage Data Protection Rules?

Answer: B

Explanation:
IBM Cloud Pak for Data includes built-in Data Protection Rules to enforce access control on sensitive data, such as PII. These rules are integrated directly into services like IBM Data Virtualization, Data Privacy, and IBM Knowledge Catalog. When analysts or applications access data through these services, the platform automatically masks, obfuscates, or restricts access to sensitive fields based on the defined policies. This ensures compliance with data privacy regulations and organizational security policies without manual intervention.


NEW QUESTION # 165
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