CDB1 hosts a container that receives continual operational updates. You must run daily analytics in AS1 against this operational data without degrading the performance of the operational store. Which technology should you recommend to support analytics without impacting the operational workload?

Azure Synapse Link for Azure Cosmos DB is the correct choice because it enables near real-time analytics over operational data in Azure Cosmos DB without impacting the performance of the transactional workload. It achieves this by using a fully isolated analytical store that is automatically synchronized with the operational store. Azure Cosmos DB change feed provides a stream of changes, but it requires custom code to process and move data for analytics, which can introduce latency and complexity. Azure Data Factory with connectors can move data, but it typically involves batch processing, which can lead to data staleness and potential impact on the source database during extraction. Azure Synapse Analytics with PolyBase is for loading data into Synapse from external sources, but it doesn't provide the seamless, real-time analytical store isolation that Synapse Link offers for Cosmos DB.