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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 Analytic Services: This domain targets a Data Analytics Architect and focuses on designing solutions using analytic components of Cloud Pak for Data. Architecting with DataStage involves creating data integration and ETL pipelines. Data Refinery architectures prepare and cleanse data for analysis. Db2 Big SQL solutions address querying large distributed data sets with SQL, facilitating analytics across diverse data sources.
Topic 3	Plan for a Cloud Pak for Data Implementation: This section of the exam measures the skills of an Implementation Consultant and covers determining which Cloud Pak for Data services to deploy based on organizational needs. It involves sizing the Kubernetes OpenShift cluster appropriately for workload demands and planning backup and restore strategies to ensure data protection. Planning for high availability and disaster recovery is essential to maintain uninterrupted service. Multi-tenancy requirements must be understood to support multiple user groups securely on shared infrastructure. Migration requirements need assessment to transition existing data and workloads smoothly.

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IBM Cloud Pak for Data v4.7 Architect Sample Questions (Q112-Q117):

NEW QUESTION # 112
When assessing migration requirements to Cloud Pak for Data, what key elements should be evaluated to ensure a seamless transition?

A. Regulatory compliance impacts
B. Custom code and integrations
C. Data compatibility and format
D. Training needs for users

Answer: A,B,C

NEW QUESTION # 113
Which two Cloud Pak for Data services implement data masking to support secure data sharing?

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

Answer: A,C

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 # 114
Which of the following are crucial considerations when establishing API security? (Select two)

A. Hardcoded credentials
B. Encryption of data in transit
C. Rate limiting
D. Frequent password rotations

Answer: B,C

NEW QUESTION # 115
Which of the following best describes the importance of encryption of data at rest in IBM Cloud Pak for Data?

A. It is optional for all types of data
B. Enhances visual appeal of the data
C. Protects sensitive information from unauthorized access
D. Decreases data retrieval time

Answer: C

NEW QUESTION # 116
What is Continuous Availability in the context of system design?

A. Achieving near-zero downtime and data loss
B. Allowing occasional system failures without backup
C. Planning for frequent and prolonged outages
D. Ensuring systems are never updated or maintained

Answer: A

NEW QUESTION # 117
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