Microsoft Azure Data Engineer Associate - DP-203
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You need to monitor the performance of a data pipeline that processes real-time streaming data from IoT devices. The pipeline uses Azure Event Hubs for data ingestion and Azure Stream Analytics for data processing. Describe the steps you would take to monitor the pipeline performance, including the tools you would use and how you would interpret the results to ensure optimal performance.
You need to monitor the performance of a data pipeline that processes real-time streaming data from IoT devices. The pipeline uses Azure Event Hubs for data ingestion and Azure Stream Analytics for data processing. Describe the steps you would take to monitor the pipeline performance, including the tools you would use and how you would interpret the results to ensure optimal performance.
Explanation:
Monitoring the performance of a data pipeline that processes real-time streaming data involves using Azure Monitor to track critical metrics such as throughput and latency, and Azure Stream Analytics monitoring tools to check query performance. This approach ensures that you can monitor the pipeline performance effectively and ensure optimal performance.