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AWS Certified CloudOps Engineer – Associate (SOA-C03) - AWS Exam Questions
Last updated on June 20, 2026
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1
Question
A company needs to deploy instances of an application and associated infrastructure to multiple AWS Regions. The company wants to use a single AWS CloudFormation template to achieve this goal. The company uses AWS Organizations and wants to administer and run this template from a central administration account.
What should a CloudOps engineer do to meet these requirements?
What should a CloudOps engineer do to meet these requirements?
Options
A
In the central administration account, create a CloudFormation primary template that loads CloudFormation nested stacks from Amazon S3 buckets in the target Regions.
B
Create a CloudFormation template that is stored in Amazon S3. Configure Cross-Region Replication (CRR) on the S3 bucket. Reference the required accounts and remote Regions in the input template parameters.
C
Create a CloudFormation stack set that includes service-managed permissions. Deploy the stack set into the required accounts and Regions from the central administration account.
D
Create CloudFormation nested stacks by using a primary template in the central administration account. Configure the required accounts and Regions for deployment of the nested stacks.
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2
Question
A CloudOps engineer is using AWS Compute Optimizer to generate recommendations for a fleet of Amazon EC2 instances. Some of the instances use newly released instance types, while other instances use older instance types. After the analysis is complete, the CloudOps engineer notices that some of the EC2 instances are missing from the Compute Optimizer dashboard.
What is the likely cause of this issue?
What is the likely cause of this issue?
Options
A
Compute Optimizer does not support the instance types of the missing instances.
B
The missing instances have insufficient historical Amazon CloudWatch metric data for analysis.
C
The missing instances are running a Windows operating system.
D
Compute Optimizer already considers the missing instances to be optimized.
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3
Question
A company uses AWS CloudFormation stacks to manage its infrastructure. The company’s developers commit infrastructure changes to the company’s Git repository. The company wants to automate updates to the CloudFormation stacks when developers commit changes. The company requires change set generation before deployment and notification of pending changes for approval. The solution must also minimize infrastructure maintenance overhead.
Which solution will meet these requirements?
Which solution will meet these requirements?
Options
A
Use CloudFormation Git sync to automatically deploy changes when developers push commits to the repository. Configure Amazon EventBridge to trigger an Amazon SNS notification after each deployment is complete.
B
Create a pipeline in AWS CodePipeline with GitHub as the source provider. Configure a CloudFormation deploy action to create change sets. Use Amazon SNS to send approval notifications.
C
Use AWS Systems Manager Automation to scan the Git repository for changes. Create a change set and deploy the CloudFormation stack.
D
Create an AWS Lambda function that creates the CloudFormation change sets, runs the change sets, and waits for approval. Set up an Amazon EventBridge rule to invoke the Lambda function when developers commit code to the Git repository.
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4
Question
A company hosts a critical legacy application on two Amazon EC2 instances that are in one Availability Zone. The instances run behind an Application Load Balancer (ALB). The company uses Amazon CloudWatch alarms to send Amazon Simple Notification Service (Amazon SNS) notifications
when the ALB health checks detect an unhealthy instance. After a notification, the company's engineers manually restart the unhealthy instance. A CloudOps engineer must configure the application to be highly available and more resilient to failures. Which solution will meet these requirements?
when the ALB health checks detect an unhealthy instance. After a notification, the company's engineers manually restart the unhealthy instance. A CloudOps engineer must configure the application to be highly available and more resilient to failures. Which solution will meet these requirements?
Options
A
Increase the size of each instance. Create an Amazon EventBridge rule. Configure the EventBridge rule to restart the instances if they enter a failed state.
B
Create an Amazon Machine Image (AMI) from a healthy instance. Launch additional instances
from the AMI in the same Availability Zone. Add the new instances to the ALB target group.
from the AMI in the same Availability Zone. Add the new instances to the ALB target group.
C
Create an Amazon Machine Image (AMI) from a healthy instance. Create a launch template that uses the AMI. Create an Amazon EC2 Auto Scaling group that is deployed across multiple Availability Zones. Configure the Auto Scaling group to add instances to the ALB target group.
D
Create an Amazon Machine Image (AMI) from a healthy instance. Launch an additional instance
from the AMI in the same Availability Zone. Add the new instance to the ALB target group. Create an
AWS Lambda function that runs when an instance is unhealthy. Configure the Lambda function to stop and restart the unhealthy instance.
from the AMI in the same Availability Zone. Add the new instance to the ALB target group. Create an
AWS Lambda function that runs when an instance is unhealthy. Configure the Lambda function to stop and restart the unhealthy instance.
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5
Question
A company must retain all Amazon S3 objects for 90 days for compliance reasons. Additionally, the company must retain all changes to objects for 90 days. Therefore, the company enables S3 Versioning on the bucket. The company does not delete S3 objects even after the retention period ends. The company notices that S3 costs are increasing. The company wants to reduce storage costs.
Which solution will meet these requirements with the LEAST operational overhead?
Which solution will meet these requirements with the LEAST operational overhead?
Options
A
Set an S3 Lifecycle rule to automatically delete S3 object versions older than 90 days.
B
Write an AWS Lambda function that checks S3 object version age. Create a delete marker for any object older than 90 days.
C
Use Amazon EventBridge to watch for S3 object creation events. Schedule an AWS Lambda function to run in 90 days to delete the object.
D
Use AWS Backup to migrate objects out of the S3 bucket after 90 days.
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