Which Azure service should you use for IoT workloads that require scalable, high-volume, time-series data storage and real-time analytics? Learn why Azure Cosmos DB is optimized for IoT telemetry and time-series scenarios in the AZ-900 exam.
Table of Contents
Question
A company needs a data storage solution for IoT workloads, capable of handling high-volume, time-series data. Which Azure service should they use?
A. Azure SQL Database
B. Azure Cosmos DB
C. Azure Data Lake Storage
D. Azure Files
E. Azure Table Storage
Answer
B. Azure Cosmos DB
Explanation
Azure Cosmos DB is a globally distributed NoSQL database, optimized for IoT workloads and real-time applications.
The best Azure service for handling IoT workloads with high-volume, time-series data is Azure Cosmos DB.
- Purpose-Built for IoT and Time-Series: Azure Cosmos DB is a globally distributed NoSQL database service designed to ingest, store, and process massive amounts of data from IoT devices, including time-series telemetry such as sensor readings, logs, and events.
- High Throughput and Low Latency: Cosmos DB is optimized for high ingestion rates and low-latency queries, making it ideal for real-time IoT analytics and dashboards.
- Flexible Data Model: It supports various APIs (including SQL, Cassandra, MongoDB, Gremlin, and Table), allowing you to choose the best model for your IoT scenario and easily handle diverse device data structures.
- Global Distribution and Scalability: Cosmos DB can replicate data across multiple Azure regions, ensuring high availability, disaster recovery, and low-latency access for global IoT solutions.
- Optimized for Time-Series Storage: Cosmos DB can efficiently store and query time-series data, such as telemetry from thousands or millions of IoT devices, and is commonly used as the primary data store for IoT solutions in Azure.
- Integration with IoT Services: It integrates seamlessly with Azure IoT Hub, Azure Stream Analytics, and other Azure services for end-to-end IoT solutions, including device management, anomaly detection, and predictive maintenance.
Supporting Evidence:
- Microsoft documentation and industry case studies highlight Cosmos DB as the recommended service for storing IoT telemetry and time-series data due to its scalability, performance, and integration capabilities.
- Real-world solutions use Cosmos DB to ingest, process, and analyze time-series data from distributed IoT devices for monitoring, analytics, and remote management.
Azure Cosmos DB is a globally distributed NoSQL database optimized for IoT and time-series workloads, providing the scalability, performance, and flexibility needed to store and analyze high-volume, real-time device telemetry data.
Microsoft Azure Fundamentals AZ-900 certification exam practice question and answer (Q&A) dump with detail explanation and reference available free, helpful to pass the Microsoft Azure Fundamentals AZ-900 exam and earn Microsoft Azure Fundamentals AZ-900 certification.