Microsoft Azure Data Fundamentals DP-900 Practice Question
An e-commerce company wants to detect potential fraud within seconds of each transaction. The solution must continuously ingest high-volume streaming data from Azure Event Hubs, run SQL-like queries with sub-second latency, and push real-time visuals to Power BI dashboards. Which Azure service should you recommend to meet these requirements?
Azure Stream Analytics is designed for real-time event processing. It connects directly to streaming sources such as Event Hubs or IoT Hub, lets users express analytics in a SQL-like language, supports processing with millisecond latency, and can output results to Power BI for live dashboards. Azure Synapse Analytics and Azure Data Factory are optimized for batch workloads, while HDInsight Hadoop clusters focus on large-scale distributed processing rather than low-latency streaming queries.
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Microsoft Azure Data Fundamentals DP-900
Describe an analytics workload
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