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Amazon SOA-C03 Exam Syllabus Topics:

Topic	Details
Topic 1	Networking and Content Delivery: This section measures skills of Cloud Network Engineers and focuses on VPC configuration, subnets, routing, network ACLs, and gateways. It includes optimizing network cost and performance, configuring DNS with Route 53, using CloudFront and Global Accelerator for content delivery, and troubleshooting network and hybrid connectivity using logs and monitoring tools.
Topic 2	Security and Compliance: This section measures skills of Security Engineers and includes implementing IAM policies, roles, MFA, and access controls. It focuses on troubleshooting access issues, enforcing compliance, securing data at rest and in transit using AWS KMS and ACM, protecting secrets, and applying findings from Security Hub, GuardDuty, and Inspector.
Topic 3	Monitoring, Logging, Analysis, Remediation, and Performance Optimization: This section of the exam measures skills of CloudOps Engineers and covers implementing AWS monitoring tools such as CloudWatch, CloudTrail, and Prometheus. It evaluates configuring alarms, dashboards, and notifications, analyzing performance metrics, troubleshooting issues using EventBridge and Systems Manager, and applying strategies to optimize compute, storage, and database performance.
Topic 4	Reliability and Business Continuity: This section measures the skills of System Administrators and focuses on maintaining scalability, elasticity, and fault tolerance. It includes configuring load balancing, auto scaling, Multi-AZ deployments, implementing backup and restore strategies with AWS Backup and versioning, and ensuring disaster recovery to meet RTO and RPO goals.
Topic 5	Deployment, Provisioning, and Automation: This section measures the skills of Cloud Engineers and covers provisioning and maintaining cloud resources using AWS CloudFormation, CDK, and third-party tools. It evaluates automation of deployments, remediation of resource issues, and managing infrastructure using Systems Manager and event-driven processes like Lambda or S3 notifications.

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Amazon AWS Certified CloudOps Engineer - Associate Sample Questions (Q27-Q32):

NEW QUESTION # 27
A company's application servers in AWS account 111122223333 use a security group sg-
1234abcd. They need to access a database hosted in account 444455556666. The VPCs are connected using a VPC peering connection (pcx-b04deed9).
A CloudOps engineer must configure the database's security group to allow new connections only from the application servers.
What should the engineer do?

A. Add an inbound rule to the database's security group. Reference pcx-b04deed9/sg-1234abcd as the source.
B. Add an inbound rule to the database's security group. Reference 111122223333/sg-1234abcd as the source.
C. Add an inbound rule to the database's security group. Reference 444455556666/sg-1234abcd as the source.
D. Add an inbound rule to the database's security group. Reference sg-1234abcd as the source.

Answer: D

Explanation:
According to AWS Cloud Operations and VPC Networking documentation, when VPCs are peered, security groups can reference peer account security groups directly to restrict traffic between them.
This feature allows specifying the security group ID (sg-1234abcd) from the source account (111122223333) in the target database's security group inbound rule. AWS automatically validates that the VPCs are connected through an existing VPC peering connection and that mutual permissions are properly configured.
You do not prefix the security group ID with the account or peering connection (Options A and B), and using the destination account ID (Option D) is incorrect because it represents the database side, not the source.
Hence, the correct configuration is Option C, which references the application servers' security group directly for precise, least-privilege access control.

NEW QUESTION # 28
A company applies user-defined tags to AWS resources. Twenty days after applying the tags, the company notices that the tags cannot be used to filter views in the AWS Cost Explorer console.
What is the reason for this issue?

A. The company has not created a usage budget in AWS Budgets.
B. It takes at least 30 days before tags can be used in Cost Explorer.
C. The company has not activated the user-defined tags for cost allocation.
D. The company has not created an AWS Cost and Usage Report.

Answer: C

Explanation:
User-defined tags must be explicitly activated as cost allocation tags in the AWS Billing and Cost Management console before they can be used in Cost Explorer. Simply applying tags to resources is not sufficient.
Once activated, cost allocation tags can take up to 24 hours to appear in Cost Explorer, but they will not appear at all if activation is not performed. The 30-day delay applies only to historical reporting after activation, not to visibility itself.
Cost and Usage Reports and Budgets are not prerequisites for Cost Explorer filtering.
Therefore, the issue occurs because the tags were not activated for cost allocation.

NEW QUESTION # 29
A CloudOps engineer is troubleshooting an AWS CloudFormation template whereby multiple Amazon EC2 instances are being created. The template is working in us-east-1, but it is failing in us-west-2 with the error code:
AMI [ami-12345678] does not exist
How should the CloudOps engineer ensure that the AWS CloudFormation template is working in every Region?

A. Edit the AWS CloudFormation template to specify the Region code as part of the fully qualified AMI ID.
B. Modify the AWS CloudFormation template by including the AMI IDs in the Mappings section. Refer to the proper mapping within the template for the proper AMI ID.
C. Copy the source Region's Amazon Machine Image (AMI) to the destination Region and assign it the same ID.
D. Edit the AWS CloudFormation template to offer a drop-down list of all AMIs to the user by using the AWS::EC2::AMI::ImageId control.

Answer: B

Explanation:
AMI IDs are Region-specific. An AMI ID that exists in us-east-1 does not automatically exist in us-west-2, and even copied AMIs receive different AMI IDs in the destination Region. The correct CloudFormation pattern is to define Region-specific AMI IDs in the Mappings section and use Fn::FindInMap with AWS::
Region to select the correct AMI for the deployment Region. Option A is wrong because you cannot assign the same AMI ID in another Region. Option B is invalid because AMI IDs are not globally qualified by adding a Region code. Option C can help users select an AMI manually, but it does not ensure the template automatically works in every Region. Therefore, mappings are the correct infrastructure-as-code solution.

NEW QUESTION # 30
A company has an AWS Lambda function in Account A. The Lambda function needs to read the objects in an Amazon S3 bucket in Account B. A CloudOps engineer must create corresponding IAM roles in both accounts.
Which solution will meet these requirements?

A. In Account A, create a Lambda execution role to assume the role in Account B. In Account B, create a role that the function can assume to gain access to the S3 bucket.
B. In Account A, create a Lambda execution role that provides access to the S3 bucket. In Account B, create a role that the function can assume.
C. In Account A, create a role that the function can assume. In Account B, create a Lambda execution role that provides access to the S3 bucket.
D. In Account A, create a role that the function can assume to gain access to the S3 bucket. In Account B, create a Lambda execution role to assume the role in Account A.

Answer: A

Explanation:
For cross-account access, the Lambda function in Account A needs an execution role that permits it to call sts:
AssumeRole on a role in Account B. The role in Account B must trust the Lambda execution role from Account A and must have permissions to read the target S3 bucket objects. This follows the standard AWS cross-account access model: the resource-owning account creates a role with permissions to the resource, and the external workload assumes that role. Option B is incomplete because permissions granted only in Account A do not automatically grant access to resources in Account B. Options C and D reverse the trust relationship incorrectly. The secure CloudOps model is cross-account role assumption with least privilege: Lambda execution role in Account A assumes a read-only S3 access role in Account B.

NEW QUESTION # 31
An application runs on Amazon EC2 instances behind an Application Load Balancer (ALB). The application takes up to 2 minutes to populate a local cache after the application is started. The application reports as healthy in the target group health check a few seconds after starting.
A CloudOps engineer observes that after some of the instances are rebooted, the instances receive an equal share of the traffic immediately after each instance reports as healthy. The application needs to receive a gradually increasing share of the traffic while the application cache is populated.
Which solution will meet this requirement?

A. Change the slow_start.duration_seconds target group attribute to 120 seconds. Before rebooting the instances, deregister the instances from the target group. After rebooting the instances, register the instances with the target group.
B. Configure an Amazon CloudWatch alarm to monitor the health check status. Configure the action of the alarm to restart an EC2 instance if a health check fails. Change the loadbalancing.algorithm.type target group attribute to be weighted_random.
C. Create an Amazon EC2 Auto Scaling group. Attach the existing EC2 instances to the Auto Scaling group. Configure an EC2 Auto Scaling lifecycle hook to move starting instances to the Pending Wait state. Update the application to complete the lifecycle hook when the local cache has been populated.
D. Change the HealthCheckTimeoutSeconds paramotor in the target group to 120 seconds. Before rebooting the instances, deregister the instances from the target group. After rebooting the instances, register the instances with the target group.

Answer: A

Explanation:
The slow start feature of an ALB target group (slow_start.duration_seconds) is specifically designed to let new or newly healthy targets ramp up gradually, giving them a smaller, increasing share of traffic over a defined period. Setting it to 120 seconds allows each instance to warm its local cache during that time instead of receiving a full share of requests immediately, which matches the 2-minute cache warm-up requirement.

NEW QUESTION # 32
......

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