You are designing an anomaly detection solution for streaming data from an Azure IoT hub.

[Reference:, https://docs.microsoft.com/en-us/learn/modules/data-anomaly-detection-using-azure-iot-hub/, https://docs.microsoft.com/en-us/azure/stream-analytics/azure-synapse-analytics-output, , , , , , , Basic Concept: This question tests plan and implement data platform resources in the DP-300 exam context. The correct choice is determined by the exact service boundary and operational requirement stated in the scenario., Why C is Correct: Azure Stream Analytics is correct because it is the feature whose normal purpose matches the stated requirement. Azure Stream Analytics is an Azure data-platform feature, but it must match the workload model, service tier, migration path, or deployment constraint described in the scenario. The scenario wording points to that specific behavior: You are designing an anomaly detection solution for streaming data from an Azure IoT hub., Why A is Wrong: Azure SQL Database is an Azure data-platform feature, but it must match the workload model, service tier, migration path, or deployment constraint described in the scenario. It would solve a neighboring problem, but not the deployment, sizing, or migration requirement in this item., Why B is Wrong: Azure Databricks is an Azure data-platform feature, but it must match the workload model, service tier, migration path, or deployment constraint described in the scenario. It mismatches the target platform, migration method, compute tier, or deployment model described in the scenario, so it would not satisfy the workload as stated., ]