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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
Questions:
691
Last Updated:
Sep 26, 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

Question 1

A company has an application that runs on Amazon EC2 instances in an Amazon EC2 Auto Scaling group. The company uses AWS CodePipeline to deploy the application. The instances that run in the Auto Scaling group are constantly changing because of scaling events.

When the company deploys new application code versions, the company installs the AWS CodeDeploy agent on any new target EC2 instances and associates the instances with the CodeDeploy deployment group. The application is set to go live within the next 24 hours.

What should a solutions architect recommend to automate the application deployment process with the LEAST amount of operational overhead?

Options:

A.

Configure Amazon EventBridge to invoke an AWS Lambda function when a new EC2 instance is launched into the Auto Scaling group. Code the Lambda function to associate the EC2 instances with the CodeDeploy deployment group.

B.

Write a script to suspend Amazon EC2 Auto Scaling operations before the deployment of new code When the deployment is complete, create a new AMI and configure the Auto Scaling group ' s launch template to use the new AMI for new launches. Resume Amazon EC2 Auto Scaling operations.

C.

Create a new AWS CodeBuild project that creates a new AMI that contains the new code Configure CodeBuild to update the Auto Scaling group ' s launch template to the new AMI. Run an Amazon EC2 Auto Scaling instance refresh operation.

D.

Create a new AMI that has the CodeDeploy agent installed. Configure the Auto Scaling group ' s launch template to use the new AMI. Associate the CodeDeploy deployment group with the Auto Scaling group instead of the EC2 instances.

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Question 2

A company stores data on an Amazon RDS for PostgreSQL DB instance in a private subnet in an AWS database account. Applications that are deployed in different VPCs access this data from different AWS accounts.

The company needs to manage the number of active connections to the DB instance. Communication between all accounts and the database account must be private and must not travel across the internet. The solution must be scalable to accommodate more consumer accounts in the future.

Which solution will meet these requirements?

Options:

A.

Connect all the VPCs in all the accounts by using a transit gateway. Configure a NAT gateway in a public subnet. Route traffic from the NAT gateway through the transit gateway to the DB instance.

B.

Create an RDS proxy in the AWS database account. Create a proxy endpoint in the private subnet. Configure AWS PrivateLink with a Network Load Balancer to provide access to the DB instance.

C.

Create a VPC peering connection between the VPC that contains the DB instance and each VPC from the other accounts. Configure an Application Load Balancer to provide access to the DB instance through the peering connection.

D.

Create a VPC peering connection between the VPC that contains the DB instance and each VPC from the other accounts. Configure a NAT gateway in a public subnet to route traffic to the DB instance.

Question 3

A company stores all its infrastructure code in a central Git repository that is hosted on GitHub Enterprise. The company wants to implement a process that submits every infrastructure update by using a pull request. Each pull request must automatically receive an AWS CloudFormation change set. After the pull request is approved, CloudFormation must apply the updates directly. The process must not require custom pipelines or manual template processing.

Which solution will meet these requirements?

Options:

A.

Use CloudFormation to invoke an AWS CodePipeline action. Configure the CodePipeline action to validate the template and publish the validation results as pull request comments.

B.

Use CloudFormation Git sync to link CloudFormation with the repository. Configure automatic change set creation for pull request updates. Configure CloudFormation to post the change set summary and apply the update when the pull request is approved and merged.

C.

Use CloudFormation drift detection. Create an Amazon EventBridge rule that reacts to pull request updates. Configure the EventBridge rule to produce drift comparison results and send the results as comments before the stack is updated.

D.

Use CloudFormation Lambda Hooks. Configure Lambda Hooks to evaluate the updated template and write the planned changes into the pull request when a stack update is requested.