AWS Certified Data Analytics Specialty 2021 – Hands-On - EMR Security and Instance Types

The video tutorial covers IAM policies and tagging for Amazon EMR, explaining how they can be used to manage permissions and access control. It discusses the use of Kerberos and SSH for secure authentication and connections. The tutorial also explains the role of IAM roles in managing access to Amazon S3 and other AWS services. It highlights the importance of blocking public access to secure data on EMR clusters. Finally, it provides guidance on choosing appropriate instance types for EMR clusters based on performance and cost considerations.

What is the primary purpose of using IAM policies with Amazon EMR?

• To manage billing and cost allocation

• To grant or deny permissions for user actions

• To automate cluster scaling

• To monitor cluster performance

How does Kerberos enhance security in Amazon EMR?

• By optimizing network traffic

• By managing user roles and permissions

• By providing strong authentication through secret key cryptography

• By encrypting data at rest

What is the role of SSH in Amazon EMR?

• To encrypt data in transit

• To provide secure connections to the command prompt

• To automate instance scaling

• To manage IAM policies

Which IAM role is crucial for EMRFS requests to Amazon S3?

• Service Link Role

• Instance Profile Role

• IAM Role for EMRFS

• Auto Scaling Role

What is the purpose of enabling block public access in Amazon EMR?

• To prevent unauthorized public access to data stored on the cluster

• To reduce data transfer costs

• To optimize cluster performance

• To automate data backup

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

• M5.xlarge

• C4.large

• T2.medium

• R5.large

Why might you choose a spot instance for task nodes in Amazon EMR?

• To ensure data security

• To reduce costs for processing tasks

• To improve network performance

• To increase storage capacity