PySpark and AWS: Master Big Data with PySpark and AWS - DMS Replication Ongoing

The video tutorial explains the process of replicating data from MySQL to S3 using DMS. It covers executing SQL commands for data manipulation, verifying data changes, and understanding the replication process. The tutorial also introduces coding with Lambda and PySpark for automating data handling tasks.

What is the initial step in the process of replicating data from MySQL to S3?

• Creating random commands for data manipulation

• Downloading the data from S3

• Executing a PySpark job

• Triggering a Lambda function

What should you do if the replicated file is not immediately visible?

• Check the MySQL database

• Restart the replication process

• Refresh the page

• Wait for 10 minutes

How long does it typically take for DMS to load the file?

• 1 to 2 minutes

• Instantly

• 2 to 3 minutes

• 5 to 10 minutes

Which identifier is used to indicate a deletion in the data changes?

• I

• D

• U

• R

What does the 'I' identifier signify in the data changes?

• Replication

• Insertion

• Update

• Deletion

What is the role of a Lambda function in the data pipeline?

• To download data from S3

• To trigger a PySpark job

• To update MySQL records

• To execute SQL commands

What happens when a new file lands in the S3 bucket in the data pipeline?

• It triggers a manual review

• It is ignored

• It is deleted

• It is processed by a PySpark job