AWS Certified Data Analytics Specialty 2021 – Hands-On - (Exercise) AWS Lambda

This tutorial guides you through setting up an order history app using AWS services. It covers creating fake server logs on an EC2 instance, streaming data to Kinesis, and storing it in DynamoDB. The tutorial emphasizes replacing a consumer script with a scalable AWS Lambda function. It includes steps for creating IAM roles, building and wiring the Lambda function, and testing the setup. Monitoring and cost considerations for Kinesis are also discussed.

What is the main purpose of using AWS Lambda in the order history app?

• To store data in DynamoDB

• To generate server logs

• To create IAM roles

• To scale the application automatically

Which AWS service is used to read data from the stream in the order history app?

• Amazon RDS

• Amazon Kinesis

• Amazon S3

• Amazon EC2

What permissions are required for the Lambda function to interact with Kinesis and DynamoDB?

• Amazon S3 full access

• Amazon Kinesis read only access and Amazon DynamoDB full access

• Amazon EC2 full access

• Amazon RDS read only access

What is the role of the Kinesis trigger in the Lambda function setup?

• To create IAM roles

• To monitor and feed data into the Lambda function

• To store data in S3

• To generate server logs

What library is used in the Lambda function to interact with DynamoDB?

• Boto3

• Requests

• Pandas

• NumPy

How can you monitor the activity of the Lambda function?

• Using AWS CloudTrail

• Using AWS EC2

• Using AWS CloudWatch

• Using AWS S3

What is a cost consideration mentioned for the Kinesis stream?

• It incurs charges only when data is processed

• It incurs charges only during peak hours

• It incurs charges even when not in use

• It is free of charge