Google Cloud Professional Machine Learning Engineer — Question 337

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?

Answer options

• A. Dataflow
• B. Dataprep
• C. Apache Flink
• D. Cloud Data Fusion

Correct answer: D

Explanation

The correct answer is Cloud Data Fusion because it is a fully managed, cloud-native data integration service that supports a codeless interface for building ETL processes. Dataflow and Dataprep do not provide the same level of comprehensive integration capabilities as Cloud Data Fusion, and Apache Flink is more focused on stream processing rather than data integration.