Microsoft Azure Data Engineer Associate - DP-203
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You are working on a project that requires processing data from multiple sources in real-time using Spark structured streaming. The data includes social media feeds, IoT device data, and clickstream data. How would you approach this task to ensure efficient and accurate processing?
You are working on a project that requires processing data from multiple sources in real-time using Spark structured streaming. The data includes social media feeds, IoT device data, and clickstream data. How would you approach this task to ensure efficient and accurate processing?
Explanation:
Option D is the correct approach as it covers all the necessary components for processing data from multiple sources using Spark structured streaming. It includes reading the data from multiple sources, performing real-time processing, creating windowed aggregates, and handling schema drift. This approach ensures that the solution can handle the diverse and time-sensitive nature of the data and provide accurate insights.