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Answer: Configure Stream Analytics to read data, use sliding windows for aggregates, and ensure data consistency by using partition keys.
Option B is correct because it involves configuring Stream Analytics to read data, using sliding windows for aggregates to capture trends in delivery routes, and ensuring data consistency by using partition keys, which is crucial for accurate analysis.
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You are developing a stream processing solution for a logistics company that requires processing GPS data from delivery vehicles in real-time. The data is received through Azure Event Hubs and you need to use Stream Analytics to create windowed aggregates for analyzing delivery routes. Describe how you would set up the Stream Analytics job to handle this scenario, including the types of windowed aggregates you would use and how you would ensure data consistency across partitions.
A
Set up Stream Analytics to read data, use fixed windows for aggregates, and ignore data consistency across partitions.
B
Configure Stream Analytics to read data, use sliding windows for aggregates, and ensure data consistency by using partition keys.
C
Use Stream Analytics to read data, use tumbling windows for aggregates, and ignore partitions.
D
Set up Stream Analytics to read data, use session windows for aggregates, and focus only on processing data in real-time without considering consistency.
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