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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	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 (Q65-Q70):

NEW QUESTION # 65
How does IBM Data Virtualization aid in the creation of a Data Fabric?

A. It is a replication tool that brings data from all sources together in one location.
B. It uses AI to predict where data will be used and relocated data for the best performance.
C. It suspends access to a data source once a usage threshold is exceeded.
D. It allows data engineers to customize access to data across multiple data sources, then publish the resulting objects in a catalog.

Answer: D

NEW QUESTION # 66
When developing database applications with Db2/BigSQL and REST interfaces, what is crucial?

A. Using exclusively proprietary software interfaces
B. Ensuring minimalistic graphical design
C. Facilitating efficient communication between the database layer and application
D. Maximizing the use of synchronous operations

Answer: C

NEW QUESTION # 67
In the context of Cloud Pak for Data, what factors should be considered for accurately sizing a cluster?

A. Data processing speed requirements
B. Expected user load
C. Geographic distribution of users
D. Anticipated data volume

Answer: A,B,D

NEW QUESTION # 68
In a multi-tenant Cloud Pak for Data environment, which aspects are critical to ensure efficient resource allocation and isolation?

A. Dedicated network resources per tenant
B. Resource quotas per tenant
C. Isolated data storage
D. Customizable user interfaces

Answer: A,B,C

NEW QUESTION # 69
How do Cloud Pak for Data administrators obtain access to Match 360?

A. Administrative users must belong to the appropriate service group.
B. Administrative users automatically have access.
C. Each user who is assigned to a service group has access.
D. Each user is automatically granted read access.

Answer: A

Explanation:
Access to Match 360 within IBM Cloud Pak for Data is role-based and governed by service groups. Even administrative users are not granted automatic access unless they are explicitly assigned to the appropriate Match 360 service group. This allows fine-grained control over who can access master data management capabilities. Service group membership defines the roles and privileges needed for interacting with Match 360 functionalities like entity resolution and golden record management.

NEW QUESTION # 70
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