
Explanation:
You should recommend Azure Data Lake Storage to store historical data because you can load it directly into Azure Synapse. You can create an external table in the data warehouse and use PolyBase to load the data.
You should recommend a Stream Analytics job as a solution for real time data aggregations. You can also join the input stream with reference data and use this information in the analysis.
You should not recommend Azure Blob storage for historical data because you would need to customize the process of loading data into Azure Synapse. Azure Blob storage is generally used to store unstructured data, such as images, videos, and audio files.
You should not recommend Azure Cosmos DB because you would need to customize the process of loading data to Azure Synapse.
You should not recommend Azure Functions as a solution for real time data aggregation. Azure Functions requires custom code to implement business logic. Besides, Azure Functions cannot efficiently send data to the real-time dashboard.
You should not recommend Azure Analysis Services. Azure Analysis Services is a solution that provides enterprise-grade data models in the cloud.