SAA-C03 Exam Dumps : AWS Certified Solutions Architect - Associate (SAA-C03)

Amazon EventBridge supports routing application-generated events to AWS Lambda targets. The Lambda function can process and insert events into a DynamoDB table. This is a standard design pattern for connecting event-driven applications with DynamoDB. Option A confuses DynamoDB Streams (which streams changes from DynamoDB) with EventBridge (which is for event routing). Options C and D reference partner event buses, which are intended for SaaS integrations, not custom application events. Therefore, the correct and simplest solution is to use a custom EventBridge event bus with a Lambda target (B).

The company wants to move from an on-premises Docker environment to fully managed AWS services with persistent storage. The best fit is:

Amazon ECS with AWS Fargate launch type: This is a serverless container orchestration solution where AWS manages the underlying infrastructure, removing the need to manage EC2 or Kubernetes nodes.

Amazon EFS (Elastic File System): This is a fully managed, scalable, and shared file system for use with ECS tasks. It supports persistent storage for containers, replacing the local volumes used on-premises.

This combination (ECS + Fargate + EFS) is fully managed and requires no manual server maintenance.

Option A uses EKS with self-managed nodes, which is not fully managed.

Option C (DynamoDB) is for structured key-value storage, not for persistent file storage.

Option D uses ECS with EC2 launch type, which is not serverless and requires managing instances.

???? Reference:

Using Amazon ECS with AWS Fargate

Mounting EFS volumes in ECS tasks

The correct answer isBbecause the company has apredictable baseline workloadthat will run forat least 1 year, plus atemporary 2-week increasein demand during a holiday period. The most cost-effective approach is to use a long-term discount option for the steady-state workload and a flexible pricing model for the short-term burst capacity.

AnEC2 Instance Savings Planis a strong fit for the existing workload because it provides cost savings for committed EC2 usage while matching a stable, predictable application footprint. Since the company is already using EC2 and the workload pattern is known, this is an efficient commitment for the baseline capacity. For the additional temporary holiday demand,On-Demand Instancesare appropriate because the extra capacity is needed only for a short duration. This avoids overcommitting to capacity that will not be used after the holiday period ends.

Option A is less cost-effective because it misses the savings opportunity for the predictable baseline workload. Option C is incorrect because the application is described asstateful, which makesSpot Instancesa poor fit due to potential interruption. Option D is incorrect because purchasing a 12-month commitment for both the normal workload and the temporary holiday increase would likely result in paying for excess committed usage after the 2-week peak ends.

AWS cost optimization guidance recommends usingdiscounted commitment models for steady-state usageandOn-Demandfor short-lived, temporary spikes. Therefore, the best answer is to use anEC2 Instance Savings Planfor the baseline andOn-Demand Instancesfor the seasonal increase.