Which are types of Amazon EMR nodes? (Select THREE)

In an Amazon EMR (Elastic MapReduce) cluster, there are three primary types of nodes that play distinct roles in processing data. The correct choices are Master, Core, and Task nodes.

Master nodes are responsible for managing the cluster. They coordinate the tasks, track the status of the various components, and maintain the metadata of the cluster. The Master node is essential for overseeing the distributed processing that occurs in the EMR framework.

Core nodes are responsible for running the data processing tasks in the cluster and for storing data in the attached Amazon S3 or HDFS (Hadoop Distributed File System). They are crucial for executing the jobs specified in the EMR and can store the results as needed.

Task nodes, while they don’t store data, contribute to the processing power of the cluster by executing specific tasks assigned to them during the job execution. They can be added or removed dynamically based on the workload requirements.

By understanding the roles of these node types, one can effectively design and manage an Amazon EMR cluster to optimize data processing workflows. Each type of node plays a vital part in how data is processed and managed in a distributed environment.