DP-300 · Question #116
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…
The correct answer is D. Watermark delay. The Watermark delay metric is computed as the wall clock time of the processing node minus the largest watermark it has seen so far. The watermark delay metric can rise due to: 1. Not enough processing resources in Stream Analytics to handle the volume of input events. 2. Not…
Question
Options
- AInput Deserialization Errors
- BLate Input Events
- CEarly Input Events
- DWatermark delay
How the community answered
(21 responses)- B10% (2)
- C5% (1)
- D86% (18)
Explanation
The Watermark delay metric is computed as the wall clock time of the processing node minus the largest watermark it has seen so far. The watermark delay metric can rise due to: 1. Not enough processing resources in Stream Analytics to handle the volume of input events. 2. Not enough throughput within the input event brokers, so they are throttled. 3. Output sinks are not provisioned with enough capacity, so they are throttled. https://docs.microsoft.com/en-us/azure/stream-analytics/stream-analytics-time-handling
Community Discussion
No community discussion yet for this question.