You are designing a data processing solution that will implement the lambda architecture pattern. The solution will use Spark running on HDInsight for data processing.
You need to recommend a data storage technology for the solution.
Which two technologies should you recommend? Each correct answer presents a complete solution. NOTE: Each correct selection is worth one point.
A . Azure Cosmos DB
B . Azure Service Bus
C . Azure Storage Queue
D . Apache Cassandra
E . Kafka HDInsight
Answer: AE
Explanation:
To implement a lambda architecture on Azure, you can combine the following technologies to accelerate real-time big data analytics:
– Azure Cosmos DB, the industry’s first globally distributed, multi-model database service.
– Apache Spark for Azure HDInsight, a processing framework that runs large-scale data analytics applications
– Azure Cosmos DB change feed, which streams new data to the batch layer for HDInsight to process
– The Spark to Azure Cosmos DB Connector
E: You can use Apache Spark to stream data into or out of Apache Kafka on HDInsight using DStreams.
Reference: https://docs.microsoft.com/en-us/azure/cosmos-db/lambda-architecture