Correct answer: D
Out-of-Order Events
Number of events received out of order that were either dropped or given an adjusted time stamp, based on the event ordering policy. This metric can be affected by the configuration of the Out-of-Order Tolerance Window setting.
Output Events
Amount of data that the Stream Analytics job sends to the output target, in number of events.
Late Input Events
Events that arrived later than the configured tolerance window for late arrivals. Learn more about Azure Stream Analytics event order considerations.
Backlogged Input Events
Number of input events that are backlogged. A nonzero value for this metric implies that your job can't keep up with the number of incoming events. If this value is slowly increasing or is consistently nonzero, you should scale out your job. To learn more, see Understand and adjust streaming units.
Reference:
https://learn.microsoft.com/en-us/azure/stream-analytics/stream-analytics-job-metrics
To monitor input events for an Azure Stream Analytics job and identify the number of events that were NOT processed, you should use the "Backlogged Input Events" metric.
The correct option is:
D. Backlogged Input Events
This metric represents the number of input events that are waiting to be processed because of issues such as query errors, throttling, or other processing limitations. Monitoring this metric can help you identify events that have not been processed as expected.
The "Backlogged Input Events" metric tracks the number of input events that have not been processed yet, indicating events that are waiting in the job's input queue to be processed. This is useful for identifying any backlog or delays in event processing.
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