A Machine Learning Specialist is planning to create a long-running Amazon EMR cluster. The EMR cluster will have 1 master node, 10 core nodes, and 20 task nodes. To save on costs, the Specialist…

The correct answer is C. Any of the task nodes. Long-Running Clusters and Data Warehouses If you are running a persistent Amazon EMR cluster that has a predictable variation in computational capacity, such as a data warehouse, you can handle peak demand at lower cost with Spot Instances. You can launch your master and core…

Machine Learning Implementation and Operations

Question

A Machine Learning Specialist is planning to create a long-running Amazon EMR cluster. The EMR cluster will have 1 master node, 10 core nodes, and 20 task nodes. To save on costs, the Specialist will use Spot Instances in the EMR cluster. Which nodes should the Specialist launch on Spot Instances?

Options

AMaster node
BAny of the core nodes
CAny of the task nodes
DBoth core and task nodes

How the community answered

(18 responses)

A
6% (1)
B
11% (2)
C
83% (15)

Explanation

Long-Running Clusters and Data Warehouses If you are running a persistent Amazon EMR cluster that has a predictable variation in computational capacity, such as a data warehouse, you can handle peak demand at lower cost with Spot Instances. You can launch your master and core instance groups as On-Demand Instances to handle the normal capacity and launch task instance groups as Spot Instances to handle your peak load requirements.

Topics

#Amazon EMR#Spot Instances#Cost Optimization#Cluster Architecture

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