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Answer: Azure Stream Analytics for real-time data processing.
Option B is the correct approach as Azure Stream Analytics is designed for real-time data processing and can handle high-throughput, low-latency data streams. It provides built-in functions and support for complex event processing. Option A, while capable of handling time-based data, is not optimized for real-time processing. Option C, although powerful, may not be the most efficient choice for real-time processing. Option D can be used for event-driven processing, but it may not be suitable for complex data processing tasks.
Author: LeetQuiz Editorial Team
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In a scenario where you need to implement a data pipeline that processes data in real-time, which of the following Azure services would you use and why?
A
Azure Data Factory with Tumbling Window triggers.
B
Azure Stream Analytics for real-time data processing.
C
Azure Data Bricks with a real-time data processing library.
D
Azure Functions to process data as it arrives.
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