If you need to transform data in a way that is not supported by Data Factory, you can create a custom activity, not a mapping flow,5 with your own data processing logic and use the activity in the pipeline. You can create a custom activity to run R scripts on your HDInsight cluster with R installed.
Reference:
https://docs.microsoft.com/en-US/azure/data-factory/transform-data
Basic Concept: This question tests task automation for database administration, including which Azure or SQL mechanism can run repeatable maintenance and configuration work.
Why B is Correct: No is related to operational monitoring or tuning, but it must match the exact signal needed: query history, resource utilization, wait/blocking detail, or automatic remediation. The scenario asks for: Each question in the series contains a unique solution that might meet the stated goals. That makes No the option that satisfies the required Azure SQL layer and operational outcome.
Why A is Wrong: Yes is related to operational monitoring or tuning, but it must match the exact signal needed: query history, resource utilization, wait/blocking detail, or automatic remediation. It does not expose the required metric, query history, wait/blocking signal, or tuning mechanism; using it would not give the administrator the evidence requested.