You Have a Data Pipeline with a Cloud Dataflow Job

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.)

A) Configure your Cloud Dataflow pipeline to use local execution
B) Increase the maximum number of Cloud Dataflow workers by setting maxNumWorkers in PipelineOptions Increase the maximum number of Cloud Dataflow workers by setting maxNumWorkers in PipelineOptions
C) Increase the number of nodes in the Cloud Bigtable cluster
D) Modify your Cloud Dataflow pipeline to use the Flatten transform before writing to Cloud Bigtable Modify your Cloud Dataflow pipeline to use the Flatten transform before writing to Cloud Bigtable
E) Modify your Cloud Dataflow pipeline to use the CoGroupByKey transform before writing to Cloud Bigtable CoGroupByKey