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Question 126 - DP-203 discussion

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You are monitoring an Azure Stream Analytics job by using metrics in Azure. You discover that during the last 12 hours, the average watermark delay is consistently greater than the configured late arrival tolerance. What is a possible cause of this behavior?

A.
Events whose application timestamp is earlier than their arrival time by more than five minutes arrive as inputs.
Answers
A.
Events whose application timestamp is earlier than their arrival time by more than five minutes arrive as inputs.
B.
There are errors in the input data.
Answers
B.
There are errors in the input data.
C.
The late arrival policy causes events to be dropped.
Answers
C.
The late arrival policy causes events to be dropped.
D.
The job lacks the resources to process the volume of incoming data.
Answers
D.
The job lacks the resources to process the volume of incoming data.
Suggested answer: D

Explanation:

Watermark Delay indicates the delay of the streaming data processing job. 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. To scale up resources, see Understand and adjust Streaming Units. Not enough throughput within the input event brokers, so they are throttled. For possible solutions, see Automatically scale up Azure Event Hubs throughput units. 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.

Reference:

https://docs.microsoft.com/en-us/azure/stream-analytics/stream-analytics-time-handling

asked 02/10/2024
Hassene SAADI
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