Amazon Web Services SAA-C03 Exam With Confidence Using Practice Dumps

The correct answer isBbecause the requirement explicitly calls for awrite once, read many (WORM)approach and a mandatory retention period of1 year.Amazon S3 Object Lock in compliance modeis the AWS feature designed specifically for this purpose. It prevents objects from being deleted or overwritten for a fixed retention period, even by privileged users. That directly satisfies the need to preserve confidential medical results for at least one year after creation.

Usingcompliance modeis important because it enforces retention in a way that cannot be bypassed by users or administrators. This is appropriate for regulated workloads such as medical records, where strong immutability controls are required. The company can then useIAM policiesto allow only a small set of approved users to upload new files while granting other authorized users read-only access.

Option A is incorrect becauseMFA Deletehelps protect against accidental deletion, but it does not provide a full WORM retention model and does not prevent overwrites in the same way as Object Lock. Option C is not sufficient because IAM and bucket policies can be changed by administrators with enough permissions and therefore do not provide the same immutable retention guarantee. Option D is overly complex and does not enforce WORM behavior; tracking object hashes only detects changes after the fact.

AWS best practices for immutable retention on S3 recommendS3 Object Lockwhen legal hold or retention requirements exist. For least implementation effort and proper WORM enforcement,S3 Object Lock in compliance modeis the most appropriate solution.

To automatically identify sensitive data in Amazon S3 and monitor access patterns for suspicious activities:

Amazon Macie uses machine learning and pattern matching to discover and protect sensitive data in S3. It provides visibility into data security risks and enables automated protection against those risks.

Amazon GuardDuty is a threat detection service that continuously monitors for malicious activity and unauthorized behavior to protect AWS accounts and workloads. It analyzes events from AWS CloudTrail, VPC Flow Logs, and DNS logs.

By enabling both services, the company can automate the discovery of sensitive data and continuously monitor access patterns for potential security threats.

HPC workloads require high-throughput, low-latency networking, especially for tightly-coupled applications like weather modeling, genomics, or real-time rendering.

A cluster placement group places instances in the same Availability Zone and on physically connected hardware, reducing network latency and increasing throughput.

Elastic Fabric Adapter (EFA) is a network device for EC2 instances that enables low-latency, high-throughput networking using OS-bypass technology, ideal for tightly-coupled HPC applications.

Each instance can support single-flow 10 Gbps bandwidth using EFA, and collectively, the cluster can achieve up to 100 Gbps aggregate throughput when properly configured.

This solution supports the Performance Efficiency and Resilience design principles and is a standard AWS-recommended pattern for HPC.

???? References:

EC2 Placement Groups

Elastic Fabric Adapter Overview

Best Practices for HPC on AWS