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IBM Cloud Pak for Data v4.7 Architect Sample Questions (Q59-Q64):

NEW QUESTION # 59
How does utilizing namespaces in a single Cloud Pak for Data instance facilitate multi-tenancy?

Answer: C


NEW QUESTION # 60
Why is tethering projects to the IBM Cloud Pak for Data control plane beneficial?

Answer: B


NEW QUESTION # 61
What outcomes can be achieved from Match 360?

Answer: B

Explanation:
Match 360 is IBM's master data management (MDM) service integrated into Cloud Pak for Data.
It produces master data views along with statistics, graphs, and insights that allow users to explore, analyze, and understand their master data entities (e.g., customers, products). While it does integrate data from disparate sources, its focus is on consolidating and providing master data analysis rather than virtual views (B) or conversational analytics (A).


NEW QUESTION # 62
What is a Data Refinery flow in Cloud Pak for Data?

Answer: D

Explanation:
A Data Refinery flow in Cloud Pak for Data is an ordered set of data operations (transformations) that are applied to tabular data. It is used to cleanse, shape, and prepare data for analysis or machine learning. Users can apply filters, joins, aggregations, and custom expressions. It is not a storage location (A), ML model (B), or a visualization tool (D), though visual previews of transformed data are available.


NEW QUESTION # 63
What is the purpose of the IBM Data Replication service?

Answer: D

Explanation:
The IBM Data Replication service in Cloud Pak for Data is designed to integrate and synchronize data between various systems, ensuring that data in target systems is kept up-to-date with the source systems. It supports near real-time replication and change data capture (CDC) mechanisms, making it ideal for analytics environments that require continuous synchronization.
The service is not a tool for database activity monitoring (A), creating unified virtual views (B), or performing heavy data transformations (D).


NEW QUESTION # 64
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