How can your team accurately simulate real-world data streams and scenarios, including network latency, out-of-order events, and peak data volumes, when developing a real-time analytics feature using Azure Databricks and Azure Event Hubs?

Real Exam

Deploying a third-party simulation tool that integrates with Azure Event Hubs, providing comprehensive scenario modeling including peak load testing

9.8%

Utilizing Azure Stream Analytics with simulated input events to mimic real-world scenarios, analyzing output in Databricks

20.3%

Creating a custom simulation framework within Databricks notebooks that generates data streams, incorporating variable latency and disordering logic

42.9%

Leveraging Azure Functions to inject simulated real-world events into Event Hubs, adjusting function throughput to simulate varying data volumes and velocities

27.1%

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How can your team accurately simulate real-world data streams and scenarios, including network latency, out-of-order events, and peak data volumes, when developing a real-time analytics feature using Azure Databricks and Azure Event Hubs?