Which of these statements best describes the kinds of transforms a Cloud Dataflow pipeline can do?
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Correct answer: Cloud Dataflow reads data in and can apply filtering, grouping, comparing, joining, or aggregation.
Why this is the answer
Cloud Dataflow is a managed service for building and running stream and batch data processing pipelines. It uses the Apache Beam programming model, where a pipeline applies transforms to collections of data. These transforms support common data preparation and processing patterns before writing results to a destination. This makes Cloud Dataflow suitable for ETL, real-time analytics, and large-scale data processing workflows.
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