AWS Certified Data Analytics Specialty 2021 - Hands-On! - Amazon Elastic MapReduce (EMR) Security and Instance Types

The video tutorial covers Amazon EMR, a key component in big data applications. It discusses security measures such as IAM policies, Kerberos, and SSH for protecting data in EMR clusters. The tutorial also provides guidance on selecting appropriate instance types for different workloads, considering factors like performance, cost, and application requirements.

What is the primary role of Amazon EMR in big data applications?

• To provide a secure environment for data storage

• To serve as a central platform for processing large datasets

• To manage network traffic efficiently

• To offer a user-friendly interface for data analysis

Which security protocol ensures that credentials are not sent over the network in an unencrypted format?

• IAM Policies

• Kerberos

• SSH

• AWS Key Management Service

What is the purpose of IAM roles in Amazon EMR?

• To monitor network traffic

• To provide a backup for data

• To manage permissions and access to AWS services

• To encrypt data at rest

Which instance type is recommended for a master node with less than 50 nodes in an EMR cluster?

• R5.large

• C5.large

• T2.medium

• M4.large

When might it be appropriate to use a high CPU instance in an EMR cluster?

• When executing computation-intensive tasks like machine learning

• When running memory-intensive applications

• When storing large amounts of data

• When performing network-intensive tasks

What is a potential risk of using spot instances for core or master nodes in an EMR cluster?

• Limited storage capacity

• Partial data loss

• Increased cost

• Slower processing speed

Why might you choose a general-purpose instance for your EMR cluster?

• For applications with specific memory requirements

• For applications with unpredictable workloads

• For applications that require high network bandwidth

• For applications that need dedicated storage