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A logistics company needs to track the real-time location and status of its fleet of delivery trucks. Each truck sends telemetry data (GPS coordinates, speed, fuel level) every few seconds. This data stream needs to be ingested, processed, and then stored for both real-time monitoring on a dashboard and historical analysis. The ingestion and processing layer must handle millions of events per second with low latency. Which Azure service is crucial for ingesting this high-volume, real-time telemetry data?
- AAzure Event Hubs
- BAzure Blob Storage
- CAzure Data Lake Storage Gen2
- DAzure SQL Database
Show answer & explanationAnswer & explanation
Correct answer: A. Azure Event Hubs
Azure Event Hubs is a highly scalable data streaming platform and event ingestion service. It can ingest millions of events per second from various sources, making it ideal for high-volume, real-time telemetry data from IoT devices like truck fleets. It acts as the front door for event pipelines.
Why the other options are wrong
- B. Azure Blob Storage is for storing large binary objects and is not designed for real-time, high-volume event ingestion.
- C. Azure Data Lake Storage Gen2 is a storage solution for big data analytics, not a real-time event ingestion service.
- D. Azure SQL Database is a relational database and cannot handle the high-volume, real-time event ingestion requirements of telemetry data.
Azure Event Hubs
A highly scalable data streaming platform and event ingestion service that can receive and process millions of events per second. It acts as the 'front door' for an event pipeline, ingesting data from various sources and making it available to stream-processing services.
- Massive scale event ingestion (millions of events/sec)
- Low-latency data streaming
- Supports various event protocols (AMQP, HTTPS)
- Integrates with other stream processing services (Stream Analytics, Spark)
Memory trick: Event Hubs collects all your real-time events, IoT Hub connects your devices.