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IBM C1000-173 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Plan for a Cloud Pak for Data Implementation	25%	- Assess requirements and select appropriate services - Size and design OpenShift/Kubernetes infrastructure - Plan backup, restore, high availability and disaster recovery - Design for multi-tenancy and migration
Topic 2: Security and Compliance Architecture	22%	- Implement auditing and compliance controls - Plan certificate management and secure communications - Secure data exchange and integration - Design identity and access management
Topic 3: Operational Readiness and Scalability	15%	- Plan for scalability, performance and lifecycle management - Design monitoring, logging and operational processes
Topic 4: Architect with Data Governance Services	20%	- Design knowledge catalog and data discovery solutions - Leverage knowledge accelerators and governance frameworks - Implement data privacy and regulatory compliance architectures
Topic 5: Architect with Data Source and Integration Services	18%	- Architect with watsonx.data and Db2 services - Implement data virtualization solutions - Design data replication and integration architectures

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IBM Cloud Pak for Data v4.7 Architect Sample Questions (Q134-Q139):

NEW QUESTION # 134
How do Access Control Lists (ACLs) benefit Db2 services security architecture?

A. By allowing unrestricted access to all users
B. Reducing the granularity of access control
C. Simplifying user authentication processes
D. Enabling detailed permissions management

Answer: D

NEW QUESTION # 135
How does IBM Cloud Pak for Data support disaster recovery and business continuity planning?

A. By enabling cross-region data replication
B. By providing automated backup and restore capabilities
C. By supporting high-availability cluster configurations
D. All of the above

Answer: D

NEW QUESTION # 136
What is the significance of planning an environment for multiple Cloud Pak deployments?

A. Avoiding the use of projects and namespaces for simplicity
B. To reduce the operational complexity and management overhead
C. Ensuring a one-size-fits-all approach to resource allocation
D. Customizing each deployment based on tenant needs and usage patterns

Answer: D

NEW QUESTION # 137
What signifies the business value of Db2/BigSQL?

A. Its ability to restrict data access to a limited number of users
B. Its capacity to handle large volumes of data efficiently
C. Its function in increasing data processing time
D. Its role in reducing the graphical user interface quality

Answer: B

NEW QUESTION # 138
Which two Cloud Pak for Data services implement data masking to support secure data sharing?

A. Db2 Data Gate
B. DataStage
C. SPSS
D. Data Privacy
E. IBM Knowledge Catalog

Answer: D,E

Explanation:
Data masking in IBM Cloud Pak for Data is primarily supported by IBM Knowledge Catalog and Data Privacy services. IBM Knowledge Catalog enforces masking through Data Protection Rules, which dynamically mask sensitive fields when data is accessed through virtualized connections. Data Privacy allows creating masking flows and rules that transform datasets while maintaining usability for analytics, ensuring sensitive data is hidden or obfuscated. DataStage and Db2 Data Gate are ETL and data replication tools, respectively, and SPSS is an analytics tool, none of which natively implement comprehensive masking as a core capability.

NEW QUESTION # 139
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