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

Why Option D is Correct:

GPU Access: Only EC2 instances in the GPU family (e.g., P2, P3) can provide GPU resources.

ECS Orchestration: Simplifies container deployment and management.

Why Other Options Are Not Ideal:

Option A: Lambda does not support GPU-based runtimes.

Option B: AWS Fargate does not support GPU-based workloads.

Option C: ECR is a container registry, not an orchestration or execution service.

AWS References:

Amazon ECS with GPU Instances:AWS Documentation - ECS GPU Instances

The correct answers are A and D . The requirement is to replace third-party middleware with an AWS-native solution that supports asynchronous communication , exactly-once delivery , and the least infrastructure management . Amazon SQS FIFO queues are the best messaging component because FIFO queues are designed for workloads that require ordered processing and exactly-once message delivery semantics. That makes option D the correct messaging choice.

For the compute layer, AWS Lambda provides the least infrastructure management because it is a fully managed serverless compute service. Lambda removes the need to manage virtual machines, operating systems, or cluster infrastructure. It integrates naturally with queue-based asynchronous architectures and can be invoked to process messages from SQS while scaling automatically based on queue depth and workload demand. That makes option A the best choice for minimizing operational burden.

Option B is incorrect because EC2 instances would require the company to manage instance provisioning, patching, scaling, and availability. Option C is incorrect because Amazon SNS is a pub/sub messaging service and does not provide exactly-once delivery guarantees like SQS FIFO . Option E is incorrect because Amazon EKS introduces Kubernetes management overhead and is not the lowest-management compute option.

AWS best practices recommend using managed messaging and serverless compute to reduce undifferentiated operational work. For a migration that requires asynchronous processing with exactly-once delivery and minimal infrastructure management, the most appropriate architecture is AWS Lambda functions with Amazon SQS FIFO queues .

AWS documentation states that Amazon Macie is the managed service designed to automatically identify and classify sensitive data stored in Amazon S3, including PII and healthcare-related identifiers.

Storing logs in Amazon S3 provides scalable, durable storage, and Amazon Athena can directly query JSON data stored in S3 using SQL.

Amazon Inspector (Option D) is for vulnerability scanning and does not identify sensitive data. DynamoDB with KMS (Option C) cannot detect sensitive information. EBS (Option B) requires custom tooling and does not support serverless SQL querying.

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