Microsoft Azure Data Engineer Associate - DP-203
Get started today
Ultimate access to all questions.
You are tasked with developing a stream processing solution for a financial services company that needs to monitor and analyze real-time transaction data for fraud detection. The data is being ingested into Azure Event Hubs. How would you approach creating a solution using Stream Analytics and Azure Event Hubs?
You are tasked with developing a stream processing solution for a financial services company that needs to monitor and analyze real-time transaction data for fraud detection. The data is being ingested into Azure Event Hubs. How would you approach creating a solution using Stream Analytics and Azure Event Hubs?
Explanation:
Option D is the correct approach as it covers all the necessary components of a stream processing solution for fraud detection. Azure Event Hubs is used to ingest the data, Stream Analytics is used to process the data, handle schema drift, and create windowed aggregates. This approach ensures that the solution can handle real-time data and provide insights into potential fraudulent transactions.