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IBM C1000-173 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Planning and Designing a Cloud Pak for Data Solution20%- Size the environment
  • 1. Select appropriate OpenShift cluster configurations
  • 2. Calculate resource requirements based on user load and services
- 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
Topic 2: 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
Topic 3: Security15%- Implement security best practices
  • 1. Configure security context constraints (SCCs)
  • 2. Understand compliance and auditing requirements
  • 3. Manage secrets and encryption at rest
Topic 4: 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)
Topic 5: 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. Manage certificates and security settings
  • 2. Use the IBM Cloud Pak for Data installer and operators
  • 3. Configure the ZenService and internal authentication
Topic 6: 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. Troubleshoot common pod and service failures
  • 2. Use OpenShift monitoring tools and CP4D logging

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IBM Cloud Pak for Data v4.7 Architect Sample Questions (Q69-Q74):

NEW QUESTION # 69
What is Data Refinery best described as?

Answer: D


NEW QUESTION # 70
Which two of the following can be used with Watson Pipelines?

Answer: C,E

Explanation:
Watson Pipelines in Cloud Pak for Data support orchestration of diverse workload types including notebooks (Python or similar interactive environments) and scripts such as Bash. These pipeline components allow integration of notebook cells or shell scripts as tasks. There is no built#in support for executing PowerShell tasks directly (unless wrapped in Bash-like containers), and Postgres is used as a data source-not a pipeline component type. While Db2 Big SQL can be invoked within a notebook or script, it is not itself a pipeline component. Therefore the supported types in pipelines are notebooks and Bash scripts.


NEW QUESTION # 71
Which two Cloud Pak for Data services support the multi-tenancy mechanism of installing the service once and provisioning the workloads in tethered projects?

Answer: D,E

Explanation:
Cloud Pak for Data supports service-level multi-tenancy by enabling some services to be installed centrally and then provisioned into user "tethered" namespaces (projects). In version 4.7, Analytics Engine (Apache Spark) and IBM Data Virtualization services support this tethered#project model: they can be installed once and then instantiated per project across multiple tenants. Core services like Db2, Cognos Analytics, and Watson Pipelines in 4.7 require installation per instance and do not yet support tethered#namespace provisioning via multi#tenant model.


NEW QUESTION # 72
What is the primary requirement to enforce data privacy in Cloud Pak for Data?

Answer: A


NEW QUESTION # 73
How can multi-tenancy be achieved with multiple instances of Cloud Pak for Data?

Answer: D


NEW QUESTION # 74
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