Independence Day Deal! Unlock 25% OFF Today – Limited-Time Offer - Ends In 00:00:00 Coupon code: SAVE25
Welcome to Pass4Success

- Free Preparation Discussions

Google Exam Professional Machine Learning Engineer Topic 6 Question 102 Discussion

Actual exam question for Google's Professional Machine Learning Engineer exam
Question #: 102
Topic #: 6
[All Professional Machine Learning Engineer Questions]

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?

Show Suggested Answer Hide Answer
Suggested Answer: D

Cloud Data Fusion is a fully managed, cloud-native data integration service that helps users efficiently build and manage ETL/ELT data pipelines. It provides a graphical interface to increase time efficiency and reduce complexity, and allows users to easily create and explore data pipelines using a code-free, point and click visual interface. Cloud Data Fusion also supports a broad range of data sources and formats, including on-premises data marts, and ensures data quality and security by using built-in transformation capabilities and Cloud Data Loss Prevention. Cloud Data Fusion lowers the total cost of ownership by handling performance, scalability, availability, security, and compliance needs automatically.Reference:

Cloud Data Fusion documentation

Cloud Data Fusion overview


Contribute your Thoughts:

Leota
2 days ago
D) Cloud Data Fusion seems like the best option to me. It's a fully managed, cloud-native data integration service that can help us lower costs and reduce repetitive work.
upvoted 0 times
...
Levi
7 days ago
I think we should use Dataflow for building a unified analytics environment.
upvoted 0 times
...

Save Cancel