PySpark and AWS: Master Big Data with PySpark and AWS - Getting S3 File Name in Lambda

This video tutorial explains how to work with AWS Lambda functions, focusing on extracting information from the event parameter. It covers the process of deploying and testing the function, as well as extracting the bucket and file names from the event JSON. The tutorial also demonstrates how to use CloudWatch to monitor the function's execution and verify the extracted information.

What is the primary role of the event parameter in a Lambda function?

• To log the function's output

• To manage the function's memory allocation

• To store the function's execution time

• To capture the triggering event's details

Why is it important to deploy the Lambda function before running it?

• To reduce the function's memory usage

• To improve the function's security

• To ensure the latest code is executed

• To increase the function's execution speed

Which JSON keys are used to extract the bucket name and file name from the event?

• event.trigger.bucket and event.trigger.file

• event.Records[0].s3.bucket.name and event.Records[0].s3.object.key

• event.S3Bucket and event.S3Object

• event.bucket and event.file

What tool is used to verify the extracted information from the Lambda function?

• AWS S3

• AWS Glue

• AWS CloudWatch

• AWS EC2

What is the next step mentioned after extracting the bucket and file name?

• Deploying the Lambda function

• Logging the event details

• Passing the information to a Glue job

• Deleting the file from S3