Your 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?
A . Input Deserialization Errors
B . Early Input Events
C . Late Input Events
D . Watermark delay
Answer: D
Explanation:
There are a number of other 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.
Incorrect Answers:
A: Deserialization issues are caused when the input stream of your Stream Analytics job contains malformed messages.
Reference: https://docs.microsoft.com/en-us/azure/stream-analytics/stream-analytics-time-handling