You are creating a new pipeline in Google Cloud to stream IoT data from Cloud Pub/Sub through Cloud Dataflow to BigQuery. While previewing the data, you notice that roughly 2% of the data appears to be corrupt. You need to modify the Cloud Dataflow pipeline to filter out this corrupt data. What should you do?

A. Add a SideInput that returns a Boolean if the element is corrupt. B. Add a ParDo transform in Cloud Dataflow to discard corrupt elements. C. Add a Partition transform in Cloud Dataflow to separate valid data from corrupt data. D. Add a GroupByKey transform in Cloud Dataflow to group all of the valid data together and discard the rest.