Amazon Web Services SAP-C02 Study & Exam Dumps 2025

AWS Certified Solutions Architect - Professional Questions and Answers

Question 1

A company uses a software package for surveys. During surveys, data is uploaded from a field operator ' s device to an Amazon S3 bucket. A custom application that runs on several Amazon EC2 instances polls the S3 bucket for new data. When new data is available, the software processes the data.

The data uploads are infrequent. The processing software can take up to 25 minutes to analyze each data upload. The company wants to optimize the application workflow to process the S3 data.

Which solution will meet these requirements with the LEAST operational overhead?

Options:

Modify the application to accept new S3 object keys as inputs. Containerize the application. Deploy the container to an Amazon ECS cluster that uses the AWS Fargate launch type. Configure S3 bucket notifications to send events to Amazon EventBridge when new objects are uploaded. Create an EventBridge rule that invokes an ECS task to run the application when a new S3 object event occurs.

Modify the application to accept new S3 object keys as inputs. Containerize the application. Deploy the container image to AWS Lambda functions. Create a new AWS Step Functions state machine to invoke the Lambda functions. Configure the state machine with a Task state that calls the Lambda functions. Set the Task state ' s Timeout property to 30 minutes.

Modify the application to accept new S3 object keys as inputs. Move the application from EC2 instances to Amazon ECS by using the EC2 capacity provider. Create an AWS Glue crawler to check the S3 bucket and invoke the application. Configure the application to process the data when the data is uploaded to Amazon S3.

Modify the application to use HTTP to poll new S3 object keys that reference data to process. Containerize the application. Deploy the container image to AWS Lambda functions. Configure S3 bucket notifications to send events to Amazon EventBridge when new objects are uploaded. Create an EventBridge rule that invokes the Lambda functions to post the new objects to HTTP endpoints by using fan-out.

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Question 2

A company use an organization in AWS Organizations to manage multiple AWS accounts. The company hosts some applications in a VPC in the company ' s snared services account. The company has attached a transit gateway to the VPC in the Shared services account.

The company is developing a new capability and has created a development environment that requires access to the applications that are in the snared services account. The company intends to delete and recreate resources frequently in the development account. The company also wants to give a development team the ability to recreate the team ' s connection to the shared services account as required.

Which solution will meet these requirements?

Options:

Create a transit gateway in the development account. Create a transit gateway peering request to the shared services account. Configure the snared services transit gateway to automatically accept peering connections.

Turn on automate acceptance for the transit gateway in the shared services account. Use AWS Resource Access Manager (AWS RAM) to share the transit gateway resource in the shared services account with the development account. Accept the resource in tie development account. Create a transit gateway attachment in the development account.

Turn on automate acceptance for the transit gateway in the shared services account. Create a VPC endpoint. Use the endpoint policy to grant permissions on the VPC endpoint for the development account. Configure the endpoint service to automatically accept connection requests. Provide the endpoint details to the development team.

Create an Amazon EventBridge rule to invoke an AWS Lambda function that accepts the transit gateway attachment value the development account makes an attachment request. Use AWS Network Manager to store. The transit gateway in the shared services account with the development account. Accept the transit gateway in the development account.

Question 3

A company hosts a multi-tier data processing application that consists of a static web application frontend and APIs that are hosted on multiple Amazon EC2 instances. The application stores search data on a single-node Amazon OpenSearch Service cluster that runs on an EC2 instance. The application stores additional data in a PostgreSQL database that runs on another EC2 instance. An NGINX server that is hosted on an EC2 instance serves the web application.

The company has experienced some support issues with the application and wants to modernize the application.

Which solution meets these requirements with the LEAST operational overhead?

Options:

Create an Amazon ECS cluster that runs on AWS Fargate. Configure the ECS cluster to pull images from the Amazon ECR public repositories for OpenSearch Service, PostgreSQL, and NGINX and from a private repository for the APIs.

Host the web application on Amazon CloudFront by using an Amazon S3 origin. Use OpenSearch Service to store the search data and migrate the PostgreSQL database to an Amazon Aurora PostgreSQL cluster. Run the APIs on AWS App Runner.

Create an Amazon EKS cluster that has a managed node group. Configure the EKS cluster to pull images from the Amazon ECR public repositories for OpenSearch Service, PostgreSQL, and NGINX and from a private repository for the APIs.

Configure AWS App Runner to pull images from the Amazon ECR public repositories for OpenSearch Service, PostgreSQL, and NGINX and from a private repository for the APIs. Deploy the images to App Runner.

Answer:

Explanation:

The company’s goal is to modernize the application while minimizing operational overhead. The current architecture relies heavily on self-managed EC2 instances for web serving, APIs, search, and relational data storage. This increases operational burden related to patching, scaling, availability, and troubleshooting.

Option B replaces self-managed components with fully managed AWS services that are purpose-built for each workload type. Hosting the static web application on Amazon S3 with Amazon CloudFront removes the need to manage web servers such as NGINX and provides global content delivery with built-in scalability and high availability. Migrating the search data to Amazon OpenSearch Service eliminates the need to manage an EC2-based OpenSearch node, providing a managed search service with built-in scaling, patching, and monitoring. Migrating PostgreSQL to Amazon Aurora PostgreSQL removes the operational overhead of managing database instances on EC2 and provides managed backups, high availability, and performance optimizations. Running APIs on AWS App Runner further reduces operational effort by abstracting infrastructure management, scaling, and deployment, allowing the team to focus on application code.

Option A still requires running and operating containerized databases and search engines, which is not recommended and does not significantly reduce operational overhead compared to EC2-based deployments. Databases and OpenSearch are better consumed as managed services rather than as containers.

Option C introduces Amazon EKS, which adds significant operational complexity. Even with managed node groups, Kubernetes requires cluster management, networking configuration, upgrades, and ongoing operational expertise. This contradicts the requirement for the least operational overhead.

Option D attempts to run databases and OpenSearch on AWS App Runner. App Runner is designed for stateless web services and APIs, not for stateful services such as databases or search engines. This architecture is not aligned with AWS best practices and would introduce reliability and operational challenges.

Therefore, using managed services such as Amazon CloudFront, Amazon S3, Amazon OpenSearch Service, Amazon Aurora PostgreSQL, and AWS App Runner provides the most modern architecture with the least operational overhead.

[References:AWS documentation on application modernization best practices using managed services to reduce operational responsibility.AWS documentation on Amazon CloudFront and Amazon S3 for hosting static web applications.AWS documentation on Amazon OpenSearch Service as a managed search and analytics service.AWS documentation on Amazon Aurora PostgreSQL for managed relational databases.AWS documentation on AWS App Runner for running containerized APIs without infrastructure management., , , ]

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