SAA-C03 · Question #374
An ecommerce company stores terabytes of customer data in the AWS Cloud. The data contains personally identifiable information (PII). The company wants to use the data in three applications. Only one
The correct answer is B. Store the data in an Amazon S3 bucket. Process and transform the data by using S3 Object. Amazon S3 Object Lambda allows you to add your own code to process data retrieved from S3 before it is returned to an application. You can use this to dynamically redact or remove PII for specific applications on-the-fly, eliminating the need to manage multiple buckets or dataset
Question
An ecommerce company stores terabytes of customer data in the AWS Cloud. The data contains personally identifiable information (PII). The company wants to use the data in three applications. Only one of the applications needs to process the PII. The PII must be removed before the other two applications process the data. Which solution will meet these requirements with the LEAST operational overhead?
Options
- AStore the data in an Amazon DynamoDB table. Create a proxy application layer to intercept and
- BStore the data in an Amazon S3 bucket. Process and transform the data by using S3 Object
- CProcess the data and store the transformed data in three separate Amazon S3 buckets so that
- DProcess the data and store the transformed data in three separate Amazon DynamoDB tables so
How the community answered
(33 responses)- A27% (9)
- B52% (17)
- C6% (2)
- D15% (5)
Explanation
Amazon S3 Object Lambda allows you to add your own code to process data retrieved from S3 before it is returned to an application. You can use this to dynamically redact or remove PII for specific applications on-the-fly, eliminating the need to manage multiple buckets or datasets, thus minimizing operational overhead.
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