Architecting Microsoft Azure Solutions Free Practice Test — 30 Questions

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Question 1 of 30

A critical real-time analytics solution deployed on Azure, processing high-volume telemetry from a fleet of industrial sensors, is exhibiting severe performance degradation. Users report significant delays in data availability on their dashboards, and intermittent failures in the alerting system. The architecture leverages Azure Event Hubs for data ingestion and Azure Stream Analytics for real-time transformation and analysis before data is persisted. Initial diagnostics indicate that the Event Hubs are experiencing increased latency, and Stream Analytics jobs are showing a growing backlog of unprocessed events. The solution was architected for high throughput and low latency, but current operational metrics suggest a fundamental mismatch between provisioned capacity and actual data load. Which of the following actions is the most critical first step to address this immediate operational crisis and restore system stability?

Increase the throughput units (TUs) for Azure Event Hubs and the streaming units (SUs) for the Azure Stream Analytics job.
Optimize the Azure Stream Analytics query logic for improved efficiency and reduce computational complexity.
Reconfigure the `OutputErrorPolicy` in Azure Stream Analytics to `Drop` for all output sinks to bypass potential downstream processing delays.
Implement an alternative data ingestion pattern using Azure Functions triggered by Event Hubs to buffer and serialize incoming data before processing.

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