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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.
Topic 4	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.

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IBM Cloud Pak for Data v4.7 Architect Sample Questions (Q103-Q108):

NEW QUESTION # 103
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 role in reducing the graphical user interface quality
D. Its function in increasing data processing time

Answer: B

NEW QUESTION # 104
In Db2 services, why is it important to establish routes effectively when exposing REST APIs?

A. To ensure APIs are unreachable for enhanced security
B. To provide predictable and organized access paths
C. To increase the complexity of the API structure
D. To prevent any external access to the APIs

Answer: B

NEW QUESTION # 105
What is a primary consideration when designing a multi-tenant architecture?

A. Data isolation between tenants
B. Ensuring data overlap between tenants
C. Reducing the scalability of resources
D. Ensuring data overlap between tenants

Answer: A

NEW QUESTION # 106
What role does storage management play in optimizing watsonx.data performance?

A. Facilitating efficient data retrieval and processing
B. Ensuring data is stored redundantly
C. Minimizing data accessibility
D. Ignoring data security protocols

Answer: A

NEW QUESTION # 107
In Data Stage, why is the choice of storage class important?

A. It affects only the color scheme of the visualizations
B. Influences data processing capabilities and speed
C. Determines the storage class name length only
D. Storage class choice is purely cosmetic

Answer: B

NEW QUESTION # 108
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