AWS Certified Data Analytics Specialty 2021 - Hands-On! - [Exercise] Kinesis Analytics - Part 2

The video tutorial guides viewers through setting up a real-time data processing system using AWS services. It covers creating a Kinesis stream, configuring a Lambda function with an IAM role, setting up an SNS topic for notifications, and testing the entire setup. The tutorial emphasizes the importance of cleaning up resources to avoid unnecessary charges.

What is the primary reason for connecting the Kinesis stream to another Kinesis stream instead of a Firehose delivery stream?

• To improve data security

• To simplify data transformation

• To reduce data storage costs

• To ensure data is processed in real-time

Which policy is NOT required when creating an IAM role for the Lambda function?

• AWS Lambda Kinesis execution role

• CloudWatch logs full access

• AWS Lambda basic execution role

• Amazon S3 full access

What is the purpose of increasing the timeout for the Lambda function?

• To enable more frequent function triggers

• To reduce the function's execution cost

• To allow more time for data processing

• To improve the function's security

What is the role of the SNS topic in this setup?

• To log data processing errors

• To send alerts via SMS

• To store processed data

• To manage user permissions

Why is it important to delete the Kinesis streams after the exercise?

• To ensure data privacy

• To improve system performance

• To avoid unnecessary billing

• To prevent unauthorized access

What is the significance of the topic ARN in the Lambda function?

• It identifies the SNS topic for sending messages

• It specifies the data source for the function

• It sets the function's runtime environment

• It determines the function's execution role

What is the final step to ensure no unexpected charges occur after the setup?

• Delete the SNS topic

• Shut down the Kinesis Analytics application

• Remove the IAM role

• Disable the Lambda function