AWS Certified Data Analytics Specialty 2021 – Hands-On - (Exercise) Kinesis Analytics, Part 4

The video tutorial guides users on how to stop and delete various AWS resources to avoid unnecessary billing. It covers the process of stopping notebooks, deleting data streams, and removing subscriptions and instances. The tutorial reflects on the application built, which monitors logs from an EC2 instance using Kinesis Data Streams, Kinesis Data Analytics, Lambda, and SNS. It also provides insights into creating data analytics applications outside the Kinesis Studio environment.

What is the first step to avoid being billed for unused resources in Kinesis Analytics?

• Delete the EC2 instance

• Stop the notebook

• Remove the IAM role

• Delete the Glue database

Why is it important to delete data streams in Kinesis?

• They consume a lot of storage

• They are charged by the hour

• They slow down the system

• They are difficult to manage

Which AWS resource should be deleted to stop receiving monthly charges for a phone number?

• Pinpoint subscription

• Glue database

• EC2 instance

• Lambda function

What is the purpose of cleaning up AWS resources like Lambda functions and IAM roles?

• To improve system performance

• To prevent unauthorized access

• To avoid unnecessary billing

• To increase storage capacity

What is a benefit of using the Kinesis Studio notebook for data analytics applications?

• It requires no configuration

• It is free of charge

• It allows for quick prototyping

• It is the only way to create applications