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Answer: Use Azure Stream Analytics, investigate data skew, and increase streaming units.
Using Azure Stream Analytics is the appropriate tool for monitoring and diagnosing issues in stream processing. Investigating data skew helps identify if the processing latency is due to uneven data distribution. Increasing streaming units provides more computational resources to handle the increased load, effectively mitigating the latency.
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In a scenario where you are monitoring stream processing in Azure, you notice a significant increase in processing latency. Describe the steps you would take to diagnose the issue, including the tools you would use, the potential causes you would investigate, and how you would implement a solution to mitigate the latency.
A
Use Azure Stream Analytics, investigate data skew, and increase streaming units.
B
Use Azure Event Hubs, investigate network issues, and optimize network settings.
C
Use Azure Data Lake Storage, investigate storage latency, and upgrade storage accounts.
D
Use Azure Functions, investigate function execution time, and optimize function code.
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