You are planning an Azure IoT Hub solution with 50,000 devices, each streaming temperature, device ID, and timestamp data. Approximately 50,000 records per second will be written and the data must be visualized in near real time. Which two services would you recommend to store and query this data? (Select two.)

Azure Cosmos DB SQL API is suitable for storing the device data (temperature, device ID, timestamp) because it's a globally distributed, multi-model database service that can handle high-throughput writes (50,000 records/second) and provide low-latency access for querying. Its SQL API allows for flexible data modeling and efficient querying. Azure Time Series Insights is ideal for near real-time visualization and analysis of time-series data like temperature readings from IoT devices. It's optimized for IoT scenarios, offering rich analytics and visualization capabilities over historical and live data streams. Azure Table Storage is a NoSQL key-value store that is cost-effective but lacks the advanced querying capabilities and performance at scale that Cosmos DB offers for this scenario. Azure Event Grid is an event routing service, not a data storage or query service. It would be used to route events, not store the actual device telemetry.