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IBM C1000-173 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Administration and Monitoring	15%	- 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. Integrate with external identity providers (LDAP/SAML) 2. Manage users, groups, and role-based access control (RBAC)
Topic 2: Planning and Designing a Cloud Pak for Data Solution	20%	- 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. Plan for high availability and disaster recovery 3. Determine storage class requirements (File, Block, Object)
Topic 3: Data Virtualization, Governance, and Analytic Integration	10%	- Data Governance and Quality 1. Understand the purpose of data governance (Steward, Catalog) 2. Integrate with data fabric and knowledge graph concepts - Manage data sources and virtualization 1. Configure connections to databases and data warehouses 2. Create and manage virtualized tables
Topic 4: Security	15%	- Implement security best practices 1. Understand compliance and auditing requirements 2. Manage secrets and encryption at rest 3. Configure security context constraints (SCCs)
Topic 5: Installation and Configuration	20%	- 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 6: Cloud Pak for Data Architecture	20%	- 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. 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

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IBM Cloud Pak for Data v4.7 Architect Sample Questions (Q44-Q49):

NEW QUESTION # 44
Which API allows the management of users, roles, and authentication, as well as monitors the status of the Cloud Pak for Data platform?

A. Watson Data
B. Credentials and Secrets
C. Cloud Pak for Data Platform
D. Alerting

Answer: C

NEW QUESTION # 45
What is a key feature of Data Replication on Cloud Pak for Data?

A. Requires complex agent-based architectures
B. Lack of integration with platform security
C. Agentless architecture
D. Difficult to use interface

Answer: C

NEW QUESTION # 46
After importing IBM Knowledge Accelerator assets using an API endpoint, what change must be made before the assets can be used by the appropriate users?

A. Ensure a shared credential has been configured.
B. Ensure the user permission role is active.
C. Add users to the Knowledge Accelerators security group.
D. Add collaborators to the Knowledge Accelerators categories.

Answer: D

Explanation:
After importing IBM Knowledge Accelerator (KA) assets using an API (or other methods), those assets -- such as categories, terms, and relationships -- are part of governance artifacts in Cloud Pak for Data. However, to make them usable by specific users, you must assign collaborators to the relevant categories.
This ensures users have the appropriate permissions (e.g., to view, curate, or manage terms) within the Information Governance Catalog (IGC) or Watson Knowledge Catalog.

NEW QUESTION # 47
What is a benefit of utilizing the IBM Data Virtualization service?

A. Workloads can bypass data source security for faster execution.
B. Access to many different data sources can be governed centrally.
C. Data can be copied to the platform quickly and easily.
D. Discover and classify sensitive information.

Answer: B

Explanation:
IBM Data Virtualization allows users to query and combine data from multiple disparate sources without physically moving it. One of its key benefits is that it enables central governance of access and policies across these data sources. Rather than duplicating data, the service provides virtualized views while maintaining source security and compliance. It does not bypass security (B), nor is its main goal to copy data (A). Discovering and classifying sensitive information (C) is primarily the function of IBM Knowledge Catalog.

NEW QUESTION # 48
What is the purpose of the IBM Data Replication service?

A. To monitor database activity.
B. To provide a unified view of disparate data sources.
C. To integrate and synchronize data.
D. To transform and validate data moving from source to target.

Answer: C

Explanation:
The IBM Data Replication service in Cloud Pak for Data is designed to integrate and synchronize data between various systems, ensuring that data in target systems is kept up-to-date with the source systems. It supports near real-time replication and change data capture (CDC) mechanisms, making it ideal for analytics environments that require continuous synchronization.
The service is not a tool for database activity monitoring (A), creating unified virtual views (B), or performing heavy data transformations (D).

NEW QUESTION # 49
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