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…

Question

Options

• AEvents whose application timestamp is earlier than their arrival time by more than five minutes
• BThere are errors in the input data.
• CThe late arrival policy causes events to be dropped.
• DThe job lacks the resources to process the volume of incoming data.

• A
  11% (3)
• B
  7% (2)
• C
  4% (1)
• D
  78% (21)

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: 1. Not enough processing resources in Stream Analytics to handle the volume of input events. To scale up resources, see Understand and adjust Streaming Units. 2. Not enough throughput within the input event brokers, so they are throttled. For possible solutions, see Automatically scale up Azure Event Hubs throughput units. 3. 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

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