Microsoft Certified: Azure Fundamentals (AZ-900) Practice Exam

Which Azure solution would you choose for real-time analysis of streamed sensor data?

1. Azure Data Lake

2. Event Hub

3. Azure SQL Database

4. Azure Functions

The correct answer is: Event Hub

Choosing Event Hub for real-time analysis of streamed sensor data is a sound decision because it is specifically designed for high-throughput, low-latency data ingestion from various sources. Event Hub acts as a highly scalable data streaming platform and event ingestion service, allowing you to easily process and analyze data in real time as it arrives. This is particularly important when dealing with sensor data, which is characterized by continuous streams of information that need to be captured instantaneously for effective analysis. Event Hub supports millions of events per second, making it well-suited for scenarios where large volumes of data need to be processed continuously. Once the data is ingested, you can integrate it with other Azure services for further analysis, storage, or processing, providing a complete solution for real-time analytics. Other options, while valuable in their own contexts, do not align as perfectly with the needs of real-time data streaming. For example, Azure Data Lake is more focused on large-scale data storage and analytics rather than real-time ingestion. Azure SQL Database is suited for structured data storage and query operations but does not provide the real-time streaming capabilities needed for sensor data. Azure Functions are serverless compute services that execute code in response to events, but they do not inherently handle data ingestion as