You are planning an Azure IoT Hub deployment with 50,000 devices that stream temperature, device ID, and timestamp data at about 50,000 records per second, and you require near real-time visualization. Which two services would you recommend to store and query this data for that workload? (Select two.)

Azure Cosmos DB for NoSQL is an excellent choice for storing high-volume, semi-structured IoT data due to its global distribution, low-latency access, and ability to handle high throughput (50,000 records/second). Its flexible schema accommodates the temperature, device ID, and timestamp data efficiently. Azure Time Series Insights is specifically designed for analyzing and visualizing large volumes of time-series data from IoT devices in near real-time. It provides powerful analytics capabilities and a rich visualization experience, making it ideal for the stated requirement. Azure Table Storage is less suitable for this scale and real-time visualization due to its more basic query capabilities and potentially higher latency for complex analytical queries. Azure Event Grid is an event routing service, not a data storage or query service; it would be used to route events, not to store and analyze the streaming data itself.