PySpark and AWS: Master Big Data with PySpark and AWS - Adding Invoke for Glue Job

The video tutorial explains how to configure a Lambda function to communicate with an AWS Glue job using Boto3. It covers creating a Boto3 client for Glue, starting a Glue job, and handling job arguments. The tutorial also demonstrates editing Glue job scripts and printing job responses.

What is the primary purpose of using the Boto3 library in the context of AWS services?

• To create AWS Lambda functions

• To programmatically interact with AWS services

• To replace the AWS Management Console

• To provide a graphical interface for AWS services

When creating a Boto3 client for AWS Glue, what is the main objective?

• To delete a Glue job

• To stop a Glue job

• To start a Glue job

• To create a new Glue job

What are the S3 target path keys used for in the context of a Glue job?

• To specify the AWS region

• To define the job execution time

• To retrieve the file name and bucket name

• To set the job priority

What is the purpose of importing 'get resolved options' in the Glue job script?

• To handle system arguments

• To manage AWS credentials

• To configure network settings

• To optimize job performance

What triggers the Lambda function to invoke the Glue job in this setup?

• A manual start command from the user

• Uploading a file to the S3 bucket

• An update to the AWS Management Console

• A change in AWS region