CDP Data Integration and Interoperability

Question 1

What does ETL stand for in the context of data integration?

Accepted Answer

Extract, Transform, Load

Answer

ETL stands for Extract, Transform, Load — the core three-step process of moving data from source systems to a target system.

Question 2

Which data integration approach provides a virtual unified view of data across multiple sources without physically moving or copying the data?

Accepted Answer

Data federation

Answer

Data federation creates a virtual unified view by querying source systems on demand, leaving the data in place rather than copying it to a central repository.

Question 3

What is the primary role of a message broker in a data integration architecture?

Accepted Answer

Routing messages between producers and consumers while decoupling them

Answer

A message broker decouples producers and consumers by receiving messages from producers and routing them to the appropriate consumers, enabling asynchronous communication.

Question 4

Which data integration pattern is best suited for near-real-time data movement requirements?

Accepted Answer

Event-driven streaming integration

Answer

Event-driven streaming integration processes and delivers data as events occur, making it ideal for near-real-time requirements where low latency is critical.

Question 5

What is a key advantage of ELT over traditional ETL in a cloud data warehouse environment?

Accepted Answer

ELT leverages the target system's massively parallel processing power for transformations

Answer

ELT loads raw data first, then uses the cloud data warehouse's powerful parallel processing to perform transformations, taking advantage of scalable compute resources.

CDP - Certified Data Professional Practice Test

CDP - Certified Data Professional Practice Test

CDP Data Integration and Interoperability