Free AWS-SOLUTION-ARCHITECT-ASSOCIATE Exam Braindumps
AWS Certified Solutions Architect - Associate SAA-C03 Questions 516–520 (page: 105)

Updated On: 16-Mar-2026

A company provides an API interface to customers so the customers can retrieve their financial information. Еhe company expects a larger number of requests during peak usage times of the year.
The company requires the API to respond consistently with low latency to ensure customer satisfaction. The company needs to provide a compute host for the API.
Which solution will meet these requirements with the LEAST operational overhead?

  1. Use an Application Load Balancer and Amazon Elastic Container Service (Amazon ECS).
  2. Use Amazon API Gateway and AWS Lambda functions with provisioned concurrency.
  3. Use an Application Load Balancer and an Amazon Elastic Kubernetes Service (Amazon EKS) cluster.
  4. Use Amazon API Gateway and AWS Lambda functions with reserved concurrency.

Answer(s): B

Explanation:

The correct answer is B.
B) API Gateway with Lambda functions and provisioned concurrency provides low latency, scalable API access with minimal operational overhead since Lambda auto-scales instantly and provisioned concurrency guarantees ready-to-serve instances, avoiding cold starts during peak workloads.
A) ALB with ECS still requires managing container workloads and cluster orchestration, increasing operational overhead compared to serverless. C) ALB with EKS adds substantial management of Kubernetes infrastructure, not aligned with least overhead. D) API Gateway with Lambda and reserved concurrency reduces some latency guarantees but reserved concurrency is a fixed cap and incurs management overhead; provisioned concurrency offers immediate capacity scaling without cold starts.



A company wants to send all AWS Systems Manager Session Manager logs to an Amazon S3 bucket for archival purposes.
Which solution will meet this requirement with the MOST operational efficiency?

  1. Enable S3 logging in the Systems Manager console. Choose an S3 bucket to send the session data to.
  2. Install the Amazon CloudWatch agent. Push all logs to a CloudWatch log group. Export the logs to an S3 bucket from the group for archival purposes.
  3. Create a Systems Manager document to upload all server logs to a central S3 bucket. Use Amazon EventBridge to run the Systems Manager document against all servers that are in the account daily.
  4. Install an Amazon CloudWatch agent. Push all logs to a CloudWatch log group. Create a CloudWatch logs subscription that pushes any incoming log events to an Amazon Kinesis Data Firehose delivery stream. Set Amazon S3 as the destination.

Answer(s): A

Explanation:

S) A is correct because Systems Manager Session Manager supports direct export of session data to S3 for archival without extra tooling, ensuring simplest, most operationally efficient flow. A) enables native integration and centralized storage.
B is incorrect because CloudWatch Logs require setup of agent and log group, plus an additional export step to S3; this adds complexity and ongoing maintenance for archival.
C is incorrect because using a Systems Manager document with EventBridge to run daily is inefficient for real-time session data capture and adds scheduling overhead and management.
D is incorrect because pushing through CloudWatch Logs to Kinesis Firehose to S3 introduces extra services and latency, increasing operational overhead.



An application uses an Amazon RDS MySQL DB instance. The RDS database is becoming low on disk space. A solutions architect wants to increase the disk space without downtime.
Which solution meets these requirements with the LEAST amount of effort?

  1. Enable storage autoscaling in RDS
  2. Increase the RDS database instance size
  3. Change the RDS database instance storage type to Provisioned IOPS
  4. Back up the RDS database, increase the storage capacity, restore the database, and stop the previous instance

Answer(s): A

Explanation:

R) A) storage autoscaling in RDS automatically expands storage when usage grows, avoiding downtime and manual intervention, meeting the “least effort” requirement.
B) Increasing instance size may help compute or IOPS but does not guarantee increased available disk space, and can involve downtime or reconfiguration.
C) Changing storage type to Provisioned IOPS does not inherently increase capacity and adds cost; not a disk-space expansion solution.
D) Backup/restore with stop/start introduces downtime and manual steps; not aligned with “least effort” or zero-downtime requirement.



A consulting company provides professional services to customers worldwide. The company provides solutions and tools for customers to expedite gathering and analyzing data on AWS. The company needs to centrally manage and deploy a common set of solutions and tools for customers to use for self-service purposes.
Which solution will meet these requirements?

  1. Create AWS CloudFormation templates for the customers.
  2. Create AWS Service Catalog products for the customers.
  3. Create AWS Systems Manager templates for the customers.
  4. Create AWS Config items for the customers.

Answer(s): B

Explanation:

A concise explanation of the correct answer:
B) Create AWS Service Catalog products for the customers. Service Catalog centrally manages and provisions a curated set of IT services and resources as self-service products, enabling standardized deployment across multiple customers.
A) CloudFormation templates are infrastructure as code but don’t provide a self-service catalog and centralized governance for multiple customers.
C) Systems Manager templates (Run Command/Automation) aren’t designed to publish a reusable catalog of products for customers.
D) Config items pertain to resource configurations for compliance, not offering a self-service product catalog.



A company is designing a new web application that will run on Amazon EC2 Instances. The application will use Amazon DynamoDB for backend data storage. The application traffic will be unpredictable. The company expects that the application read and write throughput to the database will be moderate to high. The company needs to scale in response to application traffic.
Which DynamoDB table configuration will meet these requirements MOST cost-effectively?

  1. Configure DynamoDB with provisioned read and write by using the DynamoDB Standard table class. Set DynamoDB auto scaling to a maximum defined capacity.
  2. Configure DynamoDB in on-demand mode by using the DynamoDB Standard table class.
  3. Configure DynamoDB with provisioned read and write by using the DynamoDB Standard Infrequent Access (DynamoDB Standard-IA) table class. Set DynamoDB auto scaling to a maximum defined capacity.
  4. Configure DynamoDB in on-demand mode by using the DynamoDB Standard Infrequent Access (DynamoDB Standard-IA) table class.

Answer(s): B

Explanation:

D) is not chosen; correct is B.
B) DynamoDB on-demand mode with DynamoDB Standard table class is most cost-effective for unpredictable, moderate-to-high traffic because it automatically scales capacity to meet demand without manual provisioning or capacity planning, and charges only per read/write request unit consumed.
A) Provisioned with auto scaling adds complexity and potential throttling during sudden spikes if the target scales aren’t sufficient; may incur higher cost than on-demand for variable traffic.
C) DynamoDB Standard-IA is optimized for infrequent access and lower throughput; not suitable for hot, unpredictable workloads, and auto scaling on IA is atypical.
D) On-demand with IA class is not standard practice; IA is for infrequent access, reducing performance.



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