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Answer: Azure Stream Analytics.
Azure Stream Analytics (D) is a real-time data stream processing service that can be used to efficiently process and analyze streaming data before training an AI model. It provides low-latency, high-throughput processing capabilities and supports complex event processing and pattern detection. While Azure Databricks (C) can be used for processing and analyzing large volumes of data, it is not primarily designed for real-time data stream processing. Azure Machine Learning (A) and Azure Data Factory (B) are not the best fit for the scenario described.
Author: LeetQuiz Editorial Team
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You are working on a project that involves training an AI model using real-time streaming data. Which of the following Azure services can be used to efficiently process and analyze the streaming data before training the AI model?
A
Azure Machine Learning.
B
Azure Data Factory.
C
Azure Databricks.
D
Azure Stream Analytics.
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