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IBM C1000-173 Exam Syllabus Topics:

SectionWeightObjectives
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
Security15%- Implement security best practices
  • 1. Configure security context constraints (SCCs)
  • 2. Understand compliance and auditing requirements
  • 3. Manage secrets and encryption at rest
Installation and Configuration20%- 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)
- Install Cloud Pak for Data on Red Hat OpenShift
  • 1. Use the IBM Cloud Pak for Data installer and operators
  • 2. Configure the ZenService and internal authentication
  • 3. Manage certificates and security settings
Cloud Pak for Data Architecture20%- Describe deployment models and licensing
  • 1. Understand subscription models and capacity requirements
  • 2. Differentiate between self-managed and cloud-managed deployments
- Explain the Cloud Pak for Data architecture, key components, and services
  • 1. Understand how services are deployed as pods in the OpenShift cluster
  • 2. Describe the purpose of Zen Core, Redis, and Postgres
  • 3. Explain the integration with Red Hat OpenShift Container Platform
Administration and Monitoring15%- Monitor and maintain the environment
  • 1. Troubleshoot common pod and service failures
  • 2. Use OpenShift monitoring tools and CP4D logging
- User and access management
  • 1. Manage users, groups, and role-based access control (RBAC)
  • 2. Integrate with external identity providers (LDAP/SAML)
Planning and Designing a Cloud Pak for Data Solution20%- Plan network and storage infrastructure
  • 1. Plan for high availability and disaster recovery
  • 2. Design network policies and routes
  • 3. Determine storage class requirements (File, Block, Object)
- 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 Sample Questions (Q132-Q137):

NEW QUESTION # 132
What is a Data Refinery flow in Cloud Pak for Data?

Answer: D

Explanation:
A Data Refinery flow in Cloud Pak for Data is an ordered set of data operations (transformations) that are applied to tabular data. It is used to cleanse, shape, and prepare data for analysis or machine learning. Users can apply filters, joins, aggregations, and custom expressions. It is not a storage location (A), ML model (B), or a visualization tool (D), though visual previews of transformed data are available.


NEW QUESTION # 133
What are two ways to customize Knowledge Accelerators to meet specific requirements?

Answer: D,E

Explanation:
Customization of Knowledge Accelerators in IBM Cloud Pak for Data is a structured process to preserve the integrity of base content while allowing for extension. The recommended approaches include:
Creating a separate project for customizations, so that changes are isolated and easily managed without affecting the source accelerator.
Using a "development" vocabulary where custom terms and structures are created. This is separate from the
"enterprise vocabulary," which contains the unmodified, original Knowledge Accelerator content.
Inline editing of the original content is discouraged. Use of GitHub or namespaces is not part of the official customization workflow.


NEW QUESTION # 134
What is the default schedule for the diagnostics monitor when using the Alerting APIs?

Answer: A

Explanation:
You can use the IBM Software Hub monitoring and alerting framework to monitor the state of the platform. You can set up events to alert when action is needed, based on thresholds that you define. By default, IBM Software Hub is initialized with one monitor that runs every ten minutes.
The diagnostic monitor records the status of deployments, StatefulSets, and persistent volume claims. It also tracks your system usage of virtual processors (vCPUs) and memory. The data that is collected can be used for analysis and to alert customers in a production environment based on set alert rules.


NEW QUESTION # 135
How does Watson Assistant support voice interaction?

Answer: B


NEW QUESTION # 136
Are there any special considerations for the client to migrate existing server jobs to DataStage in Cloud Pak for Data?

Answer: B

Explanation:
Legacy DataStage server jobs are not automatically compatible with DataStage on Cloud Pak for Data, which uses a parallel engine architecture. MettleCI is the recommended tool to convert server jobs into parallel jobs before migration. This conversion allows reusability and ensures the migrated jobs can run efficiently in the CP4D environment. Direct migration without modification (option D) is not possible, and they do not migrate to Watson Pipelines (option A).


NEW QUESTION # 137
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