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PROFESSIONAL-DATA-ENGINEER · Question #220
You have a data pipeline with a Cloud Dataflow job that aggregates and writes time series metrics to Cloud Bigtable. This data feeds a dashboard used by thousands of users across the organization. You
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Submitted by jordan8· Mar 30, 2026Building and operationalizing data processing systems
Question
You have a data pipeline with a Cloud Dataflow job that aggregates and writes time series metrics to Cloud Bigtable. This data feeds a dashboard used by thousands of users across the organization. You need to support additional concurrent users and reduce the amount of time required to write the data. Which two actions should you take? (Choose two.)
Options
- AConfigure your Cloud Dataflow pipeline to use local execution
- BIncrease the maximum number of Cloud Dataflow workers by setting maxNumWorkers in PipelineOptions
- CIncrease the number of nodes in the Cloud Bigtable cluster
- DModify your Cloud Dataflow pipeline to use the Flatten transform before writing to Cloud Bigtable
- EModify your Cloud Dataflow pipeline to use the CoGroupByKey transform before writing to Cloud Bigtable
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Topics
#Cloud Dataflow#Cloud Bigtable#pipeline scaling#concurrent users