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Latest SAP-C02 Exam Practice Questions

The practice questions for SAP-C02 exam was last updated on 2026-07-09 .

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Question#1

A software company hosts an application on AWS with resources in multiple AWS accounts and Regions. The application runs on a group of Amazon EC2 instances in an application VPC located in the us-east-1 Region with an IPv4 CIDR block of 10.10.0.0/16. In a different AWS account, a shared services VPC is located in the us-east-2 Region with an IPv4 CIDR block of 10.10.10.0/24. When a cloud engineer uses AWS CloudFormation to attempt to peer the application VPC with the shared services VPC, an error message indicates a peering failure.
Which factors could cause this error? (Choose two.)

A. The IPv4 CIDR ranges of the two VPCs overlap

B. The VPCs are not in the same Region

C. One or both accounts do not have access to an Internet gateway

D. One of the VPCs was not shared through AWS Resource Access Manager

E. The IAM role in the peer accepter account does not have the correct permissions

Explanation:
https://aws.amazon.com/about-aws/whats-new/2017/11/announcing-support-for-inter-region-vpc-peering/

Question#2

A company has a serverless application comprised of Amazon CloudFront, Amazon API Gateway, and AWS Lambda functions. The current deployment process of the application code is to create a new version number of the Lambda function and run an AWS CLI script to update. If the new function version has errors, another CLI script reverts by deploying the previous working version of the function. The company would like to decrease the time to deploy new versions of the application logic provided by the Lambda functions, and also reduce the time to detect and revert when errors are identified.
How can this be accomplished?

A. Create and deploy nested AWS CloudFormation stacks with the parent stack consisting of the AWS CloudFront distribution and API Gateway, and the child stack containing the Lambda function. For changes to Lambda, create an AWS CloudFormation change set and deploy; if errors are triggered, revert the AWS CloudFormation change set to the previous version.

B. Use AWS SAM and built-in AWS CodeDeploy to deploy the new Lambda version, gradually shift traffic to the new version, and use pre-traffic and post-traffic test functions to verify code. Rollback if Amazon CloudWatch alarms are triggered.

C. Refactor the AWS CLI scripts into a single script that deploys the new Lambda version. When deployment is completed, the script tests execute. If errors are detected, revert to the previous Lambda version.

D. Create and deploy an AWS CloudFormation stack that consists of a new API Gateway endpoint that references the new Lambda version. Change the CloudFront origin to the new API Gateway endpoint, monitor errors and if detected, change the AWS CloudFront origin to the previous API Gateway endpoint.

Explanation:
https://aws.amazon.com/about-aws/whats-new/2017/11/aws-lambda-supports-traffic-shifting-and-phased-deployments-with-aws-codedeploy/

Question#3

A company is planning to migrate its on-premises transaction-processing application to AWS. The application runs inside Docker containers that are hosted on VMS in the company's data center. The Docker containers have shared storage where the application records transaction data.
The transactions are time sensitive. The volume of transactions inside the application is unpredictable. The company must implement a low-latency storage solution that will automatically scale throughput to meet increased demand. The company cannot develop the application further and cannot continue to administer the Docker hosting environment.
How should the company migrate the application to AWS to meet these requirements?

A. Migrate the containers that run the application to Amazon Elastic Kubernetes Service (Amazon EKS). Use Amazon S3 to store the transaction data that the containers share.

B. Migrate the containers that run the application to AWS Fargate for Amazon Elastic Container Service (Amazon ECS). Create an Amazon Elastic File System (Amazon EFS) file system. Create a Fargate task definition. Add a volume to the task definition to point to the EFS file system

C. Migrate the containers that run the application to AWS Fargate for Amazon Elastic Container Service (Amazon ECS). Create an Amazon Elastic Block Store (Amazon EBS) volume. Create a Fargate task definition. Attach the EBS volume to each running task.

D. Launch Amazon EC2 instances. Install Docker on the EC2 instances. Migrate the containers to the EC2 instances. Create an Amazon Elastic File System (Amazon EFS) file system. Add a mount point to the EC2 instances for the EFS file system.

Explanation:
Migrating the containers that run the application to AWS Fargate for Amazon Elastic Container Service (Amazon ECS) will meet the requirement of not administering the Docker hosting environment. AWS Fargate is a serverless compute engine that runs containerswithout requiring any infrastructure management3. Creating an Amazon Elastic File System (Amazon EFS) file system and adding a volume to the Fargate task definition to point to the EFS file system will meet the requirement of low-latency storage that will automatically scale throughput to meet increased demand. Amazon EFS is a fully managed file system service that provides shared access to data from multiple containers, supports NFSv4 protocol, and offers consistent performance and high availability4. Amazon EFS also supports automatic scaling of throughput based on the amount of data stored in the file system5.

Question#4

A company hosts a blog post application on AWS using Amazon API Gateway, Amazon DynamoDB, and AWS Lambda. The application currently does not use API keys to authorize requests .
The API model is as follows:
GET/posts/[postid] to get post details
GET/users[userid] to get user details
GET/comments/[commentid] to get comments details
The company has noticed users are actively discussing topics in the comments section, and the company wants to increase user engagement by marking the comments appears in real time.
Which design should be used to reduce comment latency and improve user experience?

A. Use edge-optimized API with Amazon CloudFront to cache API responses.

B. Modify the blog application code to request GET comment[commented] every 10 seconds.

C. Use AWS AppSync and leverage WebSockets to deliver comments.

D. Change the concurrency limit of the Lambda functions to lower the API response time.

Explanation:
https://docs.aws.amazon.com/appsync/latest/devguide/graphql-overview.html
AWS AppSync is a fully managed GraphQL service that allows applications to securely access, manipulate, and receive data as well as real-time updates from multiple data sources1. AWS AppSync supports GraphQL subscriptions to perform real-time operations and can push data to clients that choose to listen to specific events from the backend1. AWS AppSync uses WebSockets to establish and maintain a secure connection between the clients and the API endpoint2. Therefore, using AWS AppSync and leveraging WebSockets is a suitable design to reduce comment latency and improve user experience.

Question#5

A company needs to migrate its customer transactions database from on premises to AWS. The database resides on an Oracle DB instance that runs on a Linux server. According to a new security requirement, the company must rotate the database password each year.
Which solution will meet these requirements with the LEAST operational overhead?

A. Convert the database to Amazon DynamoDB by using the AWS Schema Conversion Tool (AWS SCT). Store the password in AWS Systems Manager Parameter Store. Create an Amazon CloudWatch alarm to invoke an AWS Lambda function for yearly password rotation.

B. Migrate the database to Amazon RDS for Oracle. Store the password in AWS Secrets Manager. Turn on automatic rotation. Configure a yearly rotation schedule.

C. Migrate the database to an Amazon EC2 instance. Use AWS Systems Manager Parameter Store to keep and rotate the connection string by using an AWS Lambda function on a yearly schedule

D. Migrate the database to Amazon Neptune by using the AWS Schema Conversion Tool {AWS SCT). Create an Amazon CloudWatch alarm to invoke an AWS Lambda function for yearly password rotation.

Disclaimer

This page is for educational and exam preparation reference only. It is not affiliated with Amazon, AWS Certification, or the official exam provider. Candidates should refer to official documentation and training for authoritative information.

Exam Code: SAP-C02Q & A: 674 Q&As Updated: 2026-07-09

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