Which type of output should be used to ingest results of an Azure Stream Analytics job into a dedicated SQL pool table in Azure Synapse Analytics?

To ingest results from an Azure Stream Analytics job directly into a dedicated SQL pool table in Azure Synapse Analytics, the appropriate output is indeed Azure Synapse Analytics. This choice provides a seamless integration that allows the output from the real-time analytics processing in Azure Stream Analytics to be written directly to the dedicated SQL pool, which is optimized for large-scale data storage and complex queries.

By utilizing Azure Synapse Analytics as an output, the results can be efficiently organized, analyzed, and queried in a structured format suitable for business intelligence and reporting. This integration streamlines the process of managing streaming data and facilitates quick access to the insights generated from that data.

The other options such as Blob Storage/ADLS Gen2 are primarily used for storing data rather than for direct ingestion into tables designed for analytical querying. While they are valuable for data lake patterns and archiving data, they do not directly serve the specific need of populating a dedicated SQL pool table. Similarly, Azure Event Hubs is meant for event streaming and ingestion scenarios, and Azure Functions are designed for serverless compute tasks, which would not directly facilitate the output to a SQL pool in the intended manner.