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Amazon SCS-C03 Exam - Topic 6 Question 10 Discussion

A company's data scientists use Amazon SageMaker with datasets stored in Amazon S3. Data older than 45 days must be removed according to policy.Which action should enforce this policy?
A) Configure an S3 Lifecycle rule to delete objects after 45 days.
B) Create a Lambda function triggered on object upload to delete old data.
C) Create a scheduled Lambda function to delete old objects monthly.
D) Configure S3 Intelligent-Tiering.

Amazon SCS-C03 Exam - Topic 6 Question 10 Discussion

Actual exam question for Amazon's SCS-C03 exam
Question #: 10
Topic #: 6
[All SCS-C03 Questions]

A company's data scientists use Amazon SageMaker with datasets stored in Amazon S3. Data older than 45 days must be removed according to policy.

Which action should enforce this policy?

Show Suggested Answer Hide Answer
Suggested Answer: A

Amazon S3 Lifecycle rules are the native and most efficient way to enforce data retention policies. AWS Certified Security -- Specialty documentation recommends lifecycle rules over custom automation to reduce operational complexity and failure risk.

Lifecycle rules automatically and reliably delete objects after a specified age, ensuring compliance without additional compute services. Lambda-based solutions increase cost and management overhead. Intelligent-Tiering manages storage cost, not data deletion.

Referenced AWS Specialty Documents:

AWS Certified Security -- Specialty Official Study Guide

Amazon S3 Lifecycle Management


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Antione
1 month ago
I think the best option is A, configuring an S3 Lifecycle rule. It seems like the most straightforward way to handle data expiration.
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