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Amazon Web Services SAP-C02 Exam With Confidence Using Practice Dumps

Exam Code:
SAP-C02
Exam Name:
AWS Certified Solutions Architect - Professional
Certification:
AWS Certified Professional
Vendor:
Amazon Web Services
Questions:
625
Last Updated:
Feb 28, 2026
Exam Status:
Stable
Amazon Web Services SAP-C02

SAP-C02: AWS Certified Professional Exam 2025 Study Guide Pdf and Test Engine

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AWS Certified Solutions Architect - Professional Questions and Answers

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Question 1

A startup company recently migrated a large ecommerce website to AWS The website has experienced a 70% increase in sates Software engineers are using a private GitHub repository to manage code The DevOps team is using Jenkins for builds and unit testing The engineers need to receive notifications for bad builds and zero downtime during deployments The engineers also need to ensure any changes to production are seamless for users and can be rolled back in the event of a major issue

The software engineers have decided to use AWS CodePipeline to manage their build and deployment process

Which solution will meet these requirements'?

Options:

A.

Use GitHub websockets to trigger the CodePipeline pipeline Use the Jenkins plugin for AWS CodeBuild to conduct unit testing Send alerts to an Amazon SNS topic for any bad builds Deploy inan in-place all-at-once deployment configuration using AWS CodeDeploy

B.

Use GitHub webhooks to trigger the CodePipelme pipeline Use the Jenkins plugin for AWS CodeBuild to conduct unit testing Send alerts to an Amazon SNS topic for any bad builds Deploy in a blue'green deployment using AWS CodeDeploy

C.

Use GitHub websockets to trigger the CodePipelme pipeline. Use AWS X-Ray for unit testing and static code analysis Send alerts to an Amazon SNS topic for any bad builds Deploy in a blue/green deployment using AWS CodeDeploy.

D.

Use GitHub webhooks to trigger the CodePipeline pipeline Use AWS X-Ray for unit testing and static code analysis Send alerts to an Amazon SNS topic for any bad builds Deploy in an m-place. all-at-once deployment configuration using AWS CodeDeploy

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Question 2

Question:

A company hosts an application that uses several Amazon EC2 instances in an Auto Scaling group behind an Application Load Balancer (ALB). During the initial startup of the EC2 instances, the EC2 instances run user data scripts to download critical content for the application from an Amazon S3 bucket.

The EC2 instances are launching correctly. However, after a period of time, the EC2 instances are terminated with the following error message:

“An instance was taken out of service in response to an ELB system health check failure.”

The only recent change to the deployment is that the company added a large amount of critical content to the S3 bucket.

What should a solutions architect do so that the production environment can deploy successfully?

Options:

A.

Increase the size of the EC2 instances.

B.

Increase the health check timeout for the ALB.

C.

Change the health check path for the ALB.

D.

Increase the health check grace period for the Auto Scaling group.

Question 3

A company hosts a Git repository in an on-premises data center. The company uses webhooks to invoke functionality that runs in the AWS Cloud. The company hosts the webhook logic on a set of Amazon EC2 instances in an Auto Scaling group that the company set as a target for an Application Load Balancer (ALB). The Git server calls the ALB for the configured webhooks. The company wants to move the solution to a serverless architecture.

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

Options:

A.

For each webhook, create and configure an AWS Lambda function URL. Update the Git servers to call the individual Lambda function URLs.

B.

Create an Amazon API Gateway HTTP API. Implement each webhook logic in a separate AWS Lambda function. Update the Git servers to call the API Gateway endpoint.

C.

Deploy the webhook logic to AWS App Runner. Create an ALB, and set App Runner as the target. Update the Git servers to call the ALB endpoint.

D.

Containerize the webhook logic. Create an Amazon Elastic Container Service (Amazon ECS) cluster, and run the webhook logic in AWS Fargate. Create an Amazon API Gateway REST API, and set Fargate as the target. Update the Git servers to call the API Gateway endpoint.

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