Suggested Answer:A🗳️
In Azure, all of the following data stores will meet the core requirements supporting real-time processing: ✑ Apache Spark in Azure Databricks ✑ Azure Stream Analytics ✑ HDInsight with Spark Streaming ✑ HDInsight with Storm ✑ Azure Functions ✑ Azure App Service WebJobs Note: Lambda architectures use batch-processing, stream-processing, and a serving layer to minimize the latency involved in querying big data. Reference: https://azure.microsoft.com/en-us/blog/lambda-architecture-using-azure-cosmosdb-faster-performance-low-tco-low-devops/ https://docs.microsoft.com/en-us/azure/architecture/data-guide/technology-choices/stream-processing
Why not Azure Stream Analytics? A speed layer (hot path) analyzes data in real time. Databricks is for batch processing.
https://docs.microsoft.com/en-us/azure/architecture/data-guide/big-data/#lambda-architecture
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