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?
Choose an answer
Tap an option to check your answer.
Correct answer: Perform the transformations in “extract, transform, and load (ETL).".
Why this is the answer
Cloud Dataflow is used to build and run data processing pipelines for both batch and streaming data. It applies transforms to data as it moves through a pipeline . This fits the processing stage of a big data workflow, where raw data is cleaned, reshaped, grouped, or enriched. The service uses the Apache Beam model, which supports reusable processing logic across different execution patterns.
Pass your exam — without the endless answer hunt
Get every verified question and explanation for this exam in one place, and save hours of prep. 1,000+ certifications · 20+ languages · free to start.
Pass your exam faster → No card needed