To measure the performance of data movement in a data pipeline, you should monitor the data read and write throughput in both the source (Azure Blob Storage) and the destination (Azure SQL Database). This will give you insights into the speed at which data is being moved and help identify any bottlenecks or performance issues. Option B is related to the execution of data factory pipelines and activities, but it does not directly measure the performance of data movement. Option C is related to the performance of the Azure Data Factory service itself, not the data movement. Option D is related to the triggers and their execution status, which is not directly related to the performance of data movement.