Q24 — AWS SAA-C03 Ch.6

Question 24 of 65 | ← Chapter 6

Q389. An ecommerce company stores terabytes of customer data in the AWS Cloud. The data contains personally identifiable information (Pll). The company wants to use the data in three applications. Only one of the applications needs to process the Pll.The PlI must be removed before the other two applications process the data.Which solution will meet these requirements with the LEAST operational overhead?

• A. Store the data in an Amazon DynamoDB table. Create a proxy application layer to intercept and process the data that each application requests
• B. Store the data in an Amazon S3 bucket. Process and transform the data by using S3 Object Lambda before returning the data to the requesting application ✓
• C. Process the data and store the transformed data in three separate Amazon S3 buckets so that each application has its own custom dataset. Point each application to its respective S3 bucket.
• D. Process the data and store the transformed data in three separate Amazon DynamoDB tables so that each application has its own custom dataset. Point each application to its respective DynamoDB table

Correct Answer: B. Store the data in an Amazon S3 bucket. Process and transform the data by using S3 Object Lambda before returning the data to the requesting application

Explanation

By storing the data in an S3 bucket, you can easily separate the PII from the rest of the data. Then, by using S3 Object Lambda, you can apply a transformation or filtering function to remove the PII before returning the data to the requesting application. This allows you keep the PII separate and ensure that only the application that needs has access to it.This solution has the advantage of simplicity and low operational overhead because it avoids the need for creating and managing multiple DynamoDB tables separate S3 buckets for each application. It also provides flexibility in applying transformations to the data as needed.