Home » Microsoft » DP-201 » Which two technologies should you recommend?
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
Correct Answer: A
Explanation/Reference:
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.
References: https://docs.microsoft.com/en-us/azure/cosmos-db/lambda-architecture
