Cloud Dataflow is a tool for developing and executing a wide range of data processing patterns on very large datasets. Which of these examples aligns with what Cloud Dataflow can do?

(A) Process queries written in structured query language (SQL).

(B) Scale without downtime.

(C) Perform the transformations in “extract, transform, and load (ETL).”

(D) Develop apps faster and easier with cloud backend services.

Conclusion

This question is a part of the GCP Big Data and Machine Learning Assessment section of the Google Cloud Platform Business Professional Accreditation. You can find answers to all the questions asked in this exam in our GCP Big Data and Machine Learning Assessment Answers page and Google Cloud Platform Business Professional Accreditation Answers page.

Leave a Comment

Share via
Copy link
Powered by Social Snap