You need to accept and store large quantities of IoT streaming data. Which database solution should you use?

The correct answer is D. Azure Cosmos DB. Ingest data by using Azure Stream Analytics in Azure Cosmos DB for PostgreSQL Azure Stream Analytics is a real-time analytics and event-processing engine that is designed to process high volumes of fast streaming data from devices, sensors, and web sites. It's also available on…

Submitted by jaden.t· Mar 30, 2026Describe considerations for non-relational data on Azure

Question

You need to accept and store large quantities of IoT streaming data. Which database solution should you use?

Exhibit

Options

AAzure Database for PostgreSQL
BAzure Database for MariaDB
CAzure Cache for Redis
DAzure Cosmos DB

How the community answered

(26 responses)

A
8% (2)
B
4% (1)
D
88% (23)

Explanation

Ingest data by using Azure Stream Analytics in Azure Cosmos DB for PostgreSQL Azure Stream Analytics is a real-time analytics and event-processing engine that is designed to process high volumes of fast streaming data from devices, sensors, and web sites. It's also available on the Azure IoT Edge runtime, enabling data processing on IoT devices. Azure Cosmos DB for PostgreSQL shines at real-time workloads such as IoT. For these workloads, Stream Analytics can act as a no-code, performant and scalable alternative to pre- process and stream data from Azure Event Hubs, Azure IoT Hub, and Azure Blob Storage into Azure Cosmos DB for PostgreSQL. https://learn.microsoft.com/en-us/azure/cosmos-db/postgresql/howto-ingest-azure-stream-

Topics

#IoT#streaming data#Azure Cosmos DB#non-relational storage

Community Discussion

No community discussion yet for this question.

Full DP-900 Practice