[Reference:, https://docs.microsoft.com/en-us/azure/azure-sql/database/monitor-tune-overview, , , , , , Basic Concept: This question tests Azure monitoring and performance management, including which metric, log destination, or alerting behavior fits the operational requirement., Why A is Correct: SU% Utilization is the Stream Analytics metric used to determine whether the job has enough streaming units for its workload. This fits the case because the requested outcome is: Which counter should you monitor for real-time processing to meet the technical requirements? The selected feature addresses that outcome directly rather than relying on a workaround., Why B is Wrong: CPU percentage is important for database compute monitoring, but it is not the Stream Analytics sizing metric when the question is about streaming units. It would produce a different operational signal than the one needed to investigate, alert, or tune the workload in this question., Why C is Wrong: Concurrent users 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., Why D is Wrong: Data Conversion Errors 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 is useful in other troubleshooting paths, but this scenario requires a more specific monitoring or optimization feature., Verification Note: The original listed answer was B; the corrected answer is A because For Azure Stream Analytics workload sizing, SU% Utilization is the service metric used to evaluate whether streaming units are appropriately sized., ]