Orchestrating Lambda Functions Using AWS Step Functions

1. Create an S3 bucket and, inside the bucket, create two folders to host the files: guru-premium-courses and guru-premium-lessons.
2. Download the CSV files from this lab's GitHub repository, and upload them to the respective folders created in the previous step.

Create two Lambda functions as follows:

First Lambda Function

The function should return a response object consisting of the following:

• A message congratulating the user on the high score; you can use the message below:

"Well done. This was a hard quiz, and you nailed it! Here are your premium courses!"

• A list of the premium courses that are retrieved from the respective S3 bucket.

Second Lambda Function

The function should return premium lessons after fetching them from the respective S3 bucket.

• A message motivating the user to keep on practicing; you can use the message below:

"You didn't pass. Don't worry! Practice makes perfect. Here are premium lessons to keep you going!"

• A list of premium lessons that are retrieved from the respective S3 bucket.

Note: Configure the IAM role of the functions to grant it access to S3.

Create a new IAM role that will enable the Step Functions to trigger the Lambda functions.

Create and test a new state machine that will take in a score from users. The orchestration should follow the logic below:

• If the inputted score is less than 75, the state machine should trigger the Lambda function that will return the premium lessons.
• If the inputted score is more than 74, the state machine should trigger the Lambda function that will return the premium courses.
• Afterwards, the machine should terminate.