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IBM C1000-173 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Installation and Configuration20%- 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
- 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 2: 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
Topic 3: 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. Plan for high availability and disaster recovery
  • 2. Determine storage class requirements (File, Block, Object)
  • 3. Design network policies and routes
Topic 4: 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. Troubleshoot common pod and service failures
  • 2. Use OpenShift monitoring tools and CP4D logging
Topic 5: 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 6: 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

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최신 IBM Certified Architect C1000-173 무료샘플문제 (Q34-Q39):

질문 # 34
What signifies the business value of Db2/BigSQL?

정답：B


질문 # 35
What mechanism is essential for securing data during transit in asset interchange?

정답：B


질문 # 36
What must be created to enable the Cloud Pak for Data platform to use a company's custom CA certificate to validate certificates from internal servers?

정답：B

설명：
To enable IBM Cloud Pak for Data to trust certificates from internal servers using a custom Certificate Authority (CA), the correct method is to create a Kubernetes ConfigMap that contains the CA certificate. This ConfigMap is referenced by the platform's foundational services to include the CA in the trusted root store. Secrets are typically used for storing sensitive data like private keys and TLS certificates but are not used for adding trusted root CAs at the platform level. A ConfigMap is explicitly required by the platform to inject the CA trust into the certificate validation chain.


질문 # 37
Which of the following best describes the business value of DataStage?

정답：C


질문 # 38
What is a Data Refinery flow in Cloud Pak for Data?

정답：A

설명：
A Data Refinery flow is an ordered sequence of data operations applied to tabular data for preparation, cleansing, and transformation. Users can create a series of steps such as filtering, joining, aggregating, and applying custom expressions. The flow is saved and can be rerun on updated datasets to ensure consistency in data preparation. It is not a storage system (A), an ML model (B), or a visualization tool (D).


질문 # 39
......

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