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Answer: Number of events processed and the processing latency in Azure Stream Analytics.
To monitor the health and performance of stream processing in a data pipeline, you should focus on the number of events processed and the processing latency in Azure Stream Analytics. This will give you insights into the efficiency and speed of the stream processing. Option B is related to the capacity and throughput of Event Hubs, but it does not directly measure the performance of stream processing. Option C is related to the performance of the Azure Stream Analytics service itself, not the stream processing. Option D is related to the connectivity of Azure Stream Analytics, but it does not provide insights into the performance of stream processing.
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You are tasked with monitoring stream processing in a data pipeline that uses Azure Event Hubs and Azure Stream Analytics. Which of the following metrics should you monitor to ensure the health and performance of the stream processing?
A
Number of events processed and the processing latency in Azure Stream Analytics.
B
Number of Event Hubs and their throughput units.
C
CPU and memory usage of the Azure Stream Analytics service.
D
Number of input and output connections in Azure Stream Analytics.
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