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IBM C1000-173 Exam Syllabus Topics:

Topic	Details
Topic 1	Architect with Data Governance Services: This section evaluates skills of a Data Governance Specialist, covering the architecture of knowledge catalogs to enable data discovery and management. Data Privacy architectures ensure compliance with regulatory requirements around data protection. Knowledge Accelerators involve designing solutions that speed up data governance processes through predefined policies and templates.
Topic 2	Architect with Data Source Services: This domain measures expertise of a Data Integration Architect and includes architecting solutions with data replication technologies to synchronize data across systems. IBM Data Virtualization architecture enables access to and querying of disparate data sources without data movement. Architecting with watsonx.data focuses on building intelligent data lakes and query engines. Architecting with Db2-related services involves designing scalable data management and processing architectures using IBM's Db2 platforms.
Topic 3	Architect with AI Series: This section measures the skills of an AI Solution Architect and includes designing architectures for solutions involving various IBM Watson AI services. Architecting with Watson Assistant involves creating conversational AI interfaces. Watson Discovery solutions focus on building cognitive search and content analytics applications. Watson Pipelines solutions involve orchestrating data science workflows. Watson OpenScale architectures enable AI model monitoring and governance. Architecting with Match 360 supports personalized engagement by integrating multi-channel customer insights.

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IBM Cloud Pak for Data v4.7 Architect Sample Questions (Q132-Q137):

NEW QUESTION # 132
Which two features are valid only when deploying Cloud Pak for Data on-premises?

A. Network security is managed by IBM.
B. Services are automatically updated.
C. The number of OpenShift nodes is configured by the administrator.
D. Compute resources are automatically scaled.
E. Persistent storage is always used.

Answer: C,E

Explanation:
In on-premises deployments of IBM Cloud Pak for Data:
Administrators have full control over the number of OpenShift nodes, unlike cloud-managed environments where node scaling may be automatic or abstracted.
Persistent storage is always required and configured by the infrastructure team to meet service requirements and ensure data availability.
Auto-scaling of compute and automatic updates of services are not handled by IBM in on-prem setups.
Network security responsibilities also lie with the deploying organization, not IBM, in an on-premises model.

NEW QUESTION # 133
When planning the integration of IBM Cloud Pak for Data with existing enterprise systems, which aspect is crucial for ensuring seamless connectivity and data exchange? (Select two)

A. User authentication mechanisms
B. Network bandwidth
C. Data encryption standards
D. API compatibility

Answer: B,D

NEW QUESTION # 134
Which of the following best defines Disaster Recovery in IT systems?

A. A method to ensure continuous system overload
B. A plan to restore normal business operations after a disaster
C. A strategy to maintain high system latency
D. A process to increase data vulnerability

Answer: B

NEW QUESTION # 135
Which container orchestration platform is used by IBM Cloud Pak for Data?

A. OpenShift
B. Docker
C. Docker Swarm
D. Kubernetes

Answer: A

Explanation:
IBM Cloud Pak for Data is built on OpenShift, which is an enterprise Kubernetes platform.
OpenShift provides a secure and scalable platform for managing containerized applications, including those within Cloud Pak for Data.

NEW QUESTION # 136
Which of the following are considered when determining the correct storage options for IBM Cloud Pak for Data?

A. Color schemes of storage UI
B. Cost-effectiveness only
C. Aesthetics of the storage interface
D. Performance and scalability

Answer: D

NEW QUESTION # 137
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