A CSV file containing data that must be imported into a DynamoDB table is stored in an S3 bucket. What is the optimal method for importing this data into the DynamoDB table?

Answer options:

A.Use AWS Lambda Function to read the file and import the data into the DynamoDB table.
B.Use AWS Data Pipeline to read the file and import the data into the DynamoDB table.
C.Use AWS CLI to read the file and import the data into the DynamoDB table.
D.Use AWS Management Console to import the data into the DynamoDB table.

Answer: A
Option A is CORRECT because creating an AWS Lambda Function to read the file from the S3 bucket and import the data items into the DynamoDB table is the simplest and most cost-efficient method to import CSV data.
Option B is incorrect because AWS Data Pipeline is not the optimal solution. It requires non-trivial activities and costs associated with the configuration of Data Pipelines and EMR cluster infrastructure.
Option C is incorrect because AWS CLI can only import JSON formatted data into DynamoDB tables.
Option D is incorrect because it is only possible to enter single items into DynamoDB tables using AWS Management Console. This would be very time-consuming for bulk import of a large CSV file.
Reference:
https://aws.amazon.com/blogs/database/implementing-bulk-csv-ingestion-to-amazon-dynamodb/