Microsoft Azure Data Engineer Associate - DP-203
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You are tasked with creating a stream processing solution for a media streaming service that needs to analyze user interactions in real-time. The data is ingested through Azure Event Hubs and you need to use Stream Analytics to process this data. Describe the steps you would take to set up this stream processing solution, including how you would handle schema drift and create windowed aggregates to analyze user engagement over time.
You are tasked with creating a stream processing solution for a media streaming service that needs to analyze user interactions in real-time. The data is ingested through Azure Event Hubs and you need to use Stream Analytics to process this data. Describe the steps you would take to set up this stream processing solution, including how you would handle schema drift and create windowed aggregates to analyze user engagement over time.
Explanation:
Option B is correct because it involves setting up Azure Event Hubs for data ingestion, using Azure Stream Analytics with a dynamic schema to handle schema drift, and implementing tumbling window aggregates to analyze user engagement over time, which aligns with the requirements of handling real-time data and schema changes effectively.