A company uses Azure Stream Analytics to monitor devices. The company plans to double the number of devices that are monitored. You need to monitor a Stream Analytics job to ensure that there are…

The correct answer is C. Watermark delay. There are a number of resource constraints that can cause the streaming pipeline to slow down. The watermark delay metric can rise due to: Not enough processing resources in Stream Analytics to handle the volume of input events. Not enough throughput within the input event…

Submitted by zhang_li· Mar 30, 2026Secure, monitor, and optimize data storage and data processing

Question

A company uses Azure Stream Analytics to monitor devices. The company plans to double the number of devices that are monitored. You need to monitor a Stream Analytics job to ensure that there are enough processing resources to handle the additional load. Which metric should you monitor?

Options

AEarly Input Events
BLate Input Events
CWatermark delay
DInput Deserialization Errors

How the community answered

(32 responses)

A
16% (5)
B
3% (1)
C
72% (23)
D
9% (3)

Explanation

There are a number of resource constraints that can cause the streaming pipeline to slow down. The watermark delay metric can rise due to: Not enough processing resources in Stream Analytics to handle the volume of input events. Not enough throughput within the input event brokers, so they are throttled. Output sinks are not provisioned with enough capacity, so they are throttled. The possible solutions vary widely based on the flavor of output service being used. https://docs.microsoft.com/en-us/azure/stream-analytics/stream-analytics-time-handling

Topics

#Stream Analytics#watermark delay#capacity monitoring#streaming unit scaling

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