The correct answer is Azure Time Series Insights.

Azure Time Series Insights is purpose built for interactive exploration and visualization of time series telemetry. It ingests streaming events from sources such as IoT Hub or Event Hubs and provides a low latency query engine and a browser based explorer that lets operators view live and historical trends and drill into anomalies.

Azure Time Series Insights also handles indexing and storage optimized for time stamped data so you can build a live dashboard without assembling a custom pipeline and visualization stack.

Azure Stream Analytics is a real time stream processing service that is excellent for filtering, aggregating, and routing event data. It does not provide a built in interactive time series explorer for live dashboards and it typically outputs results to another service for visualization.

Azure Data Lake Storage is a scalable store for large volumes of raw and processed data. It is designed for batch analytics and long term storage and it does not provide interactive, low latency dashboards for live telemetry.

Azure Synapse Analytics is focused on data warehousing and big data analytics. It is powerful for large scale queries and analytics jobs but it is not aimed at interactive, real time time series visualization for incoming telemetry.

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