DVA-C02 · Question #558
A company stores customer credit reports in an Amazon S3 bucket. An analytics service uses standard Amazon S3 GET requests to access the reports. A developer must implement a solution to redact person
The correct answer is B. Set up an S3 Object Lambda function. Attach the function to an S3 Object Lambda Access Point.. S3 Object Lambda is the most operationally efficient solution for redacting PII from S3 objects before they reach the analytics service. S3 Object Lambda allows you to create a custom Lambda function that can process and modify the content of S3 objects in real-time as they are a
Question
A company stores customer credit reports in an Amazon S3 bucket. An analytics service uses standard Amazon S3 GET requests to access the reports. A developer must implement a solution to redact personally identifiable information (PII) from the reports before the reports reach the analytics service. Which solution will meet this requirement with the MOST operational efficiency?
Options
- ALoad the S3 objects into Amazon Redshift by using a COPY command. Implement dynamic data
- BSet up an S3 Object Lambda function. Attach the function to an S3 Object Lambda Access Point.
- CUse AWS Key Management Service (AWS KMS) to implement encryption in the S3 bucket. Re-
- DCreate an Amazon Simple Notification Service (Amazon SNS) topic. Implement message data
How the community answered
(37 responses)- A8% (3)
- B76% (28)
- C3% (1)
- D14% (5)
Explanation
S3 Object Lambda is the most operationally efficient solution for redacting PII from S3 objects before they reach the analytics service. S3 Object Lambda allows you to create a custom Lambda function that can process and modify the content of S3 objects in real-time as they are accessed. By using an S3 Object Lambda Access Point, you can program the function to call a PII redaction API, ensuring that the redacted data is delivered directly to the analytics service without storing or modifying the original files. This solution is easy to implement and minimizes the operational overhead.
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