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PROFESSIONAL-MACHINE-LEARNING-ENGINEER · Question #50
You are responsible for building a unified analytics environment across a variety of on-premises data marts. Your company is experiencing data quality and security challenges when integrating data…
The correct answer is D. Cloud Data Fusion. Cloud Data Fusion is a fully managed, cloud-native data integration service provided by Google Cloud Platform. It is designed to simplify the process of building and managing ETL pipelines across a variety of data sources and targets. https://cloud.google.com/data-fusion
Submitted by ricky.ec· Apr 18, 2026Data processing and feature engineering
Question
You are responsible for building a unified analytics environment across a variety of on-premises data marts. Your company is experiencing data quality and security challenges when integrating data across the servers, caused by the use of a wide range of disconnected tools and temporary solutions. You need a fully managed, cloud-native data integration service that will lower the total cost of work and reduce repetitive work. Some members on your team prefer a codeless interface for building Extract, Transform, Load (ETL) process. Which service should you use?
Options
- ADataflow
- BDataprep
- CApache Flink
- DCloud Data Fusion
How the community answered
(56 responses)- A14% (8)
- B5% (3)
- C4% (2)
- D77% (43)
Explanation
Cloud Data Fusion is a fully managed, cloud-native data integration service provided by Google Cloud Platform. It is designed to simplify the process of building and managing ETL pipelines across a variety of data sources and targets. https://cloud.google.com/data-fusion
Topics
#Data Integration#ETL#Cloud Data Fusion#Managed Services
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