Exam AWS Certified Solutions Architect - Associate SAA-C03 topic 1 question 295 discussion

"Akshually" bro go to sleep

Yes. That's the problem here, Macie is the recommended tool in such case, but you do not have it in the answers.

This is so wrong

"Today, I’m very happy to announce the availability of S3 Object Lambda, a new capability that allows you to add your own code to process data retrieved from S3 before returning it to an application. S3 Object Lambda works with your existing applications and uses AWS Lambda functions to automatically process and transform your data as it is being retrieved from S3. The Lambda function is invoked inline with a standard S3 GET request, so you don’t need to change your application code." https://aws.amazon.com/de/blogs/aws/introducing-amazon-s3-object-lambda-use-your-code-to-process-data-as-it-is-being-retrieved-from-s3/

Because this is exactly what the AWS blog says. "When you store data in Amazon Simple Storage Service (Amazon S3), you can easily share it for use by multiple applications. However, each application has its own requirements and may need a different view of the data. For example, a dataset created by an e-commerce application may include personally identifiable information (PII) that is not needed when the same data is processed for analytics and should be redacted. ... Today, I’m very happy to announce the availability of S3 Object Lambda, a new capability that allows you to add your own code to process data retrieved from S3 before returning it to an application. S3 Object Lambda works with your existing applications and uses AWS Lambda functions to automatically process and transform your data as it is being retrieved from S3."

Least operational overhead. The DevOps team is throwing this problem to the developers which is why C is not best.

Chat GPT: Isn't just 60 seconds the maximum duration for a Lambda function used by S3 Object Lambda? How can it process terabytes of data in 60 seconds? You are correct that the maximum duration for a Lambda function used by S3 Object Lambda is 60 seconds. Given the time constraint, it is not feasible to process terabytes of data within a single Lambda function execution. S3 Object Lambda is designed for lightweight and real-time transformations rather than extensive processing of large datasets. To handle terabytes of data, you would typically need to implement a distributed processing solution using services like Amazon EMR, AWS Glue, or AWS Batch. These services are specifically designed to handle big data workloads and provide scalability and distributed processing capabilities. So, while S3 Object Lambda can be useful for lightweight processing tasks, it is not the appropriate tool for processing terabytes of data within the execution time limits of a Lambda function.

Option A requires developing and managing a proxy app layer to handle data transformation, adding overhead. Options C and D require preprocessing and storing multiple copies of the transformed data, adding storage and management overhead. Option B using S3 Object Lambda minimizes operational overhead by handling data transformation on read transparently using the native S3 functionality. Only one raw data copy is stored in S3, with no additional applications required.