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Amazon SOA-C03 Exam Syllabus Topics:

Topic	Details
Topic 1	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.
Topic 2	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 3	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 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	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.

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Amazon AWS Certified CloudOps Engineer - Associate Sample Questions (Q227-Q232):

NEW QUESTION # 227
A company uses AWS Systems Manager to automate tasks across AWS accounts. The company uses monitoring tools to detect issues. The company creates a Systems Manager Automation runbook that runs an AWS Lambda function to remediate the issues.
Initially, the company runs the runbook manually. Now, the company wants to automate running the runbook whenever the monitoring tools detect issues.
Which solution will meet this requirement?

A. Configure the monitoring tools to write findings to Amazon CloudWatch Logs. Create a CloudWatch Logs subscription filter that invokes the runbook when new log entries are detected.
B. Configure AWS Config to assess the resources and publish configuration changes to Amazon EventBridge. Create a rule to invoke the runbook in response to configuration change events.
C. Configure the monitoring tools to publish findings to Amazon EventBridge. Create an EventBridge rule that invokes the runbook in response to events from the monitoring tools.
D. Configure the monitoring tools to send findings to an Amazon SNS topic. Subscribe the runbook to the SNS topic. Invoke the runbook when a message is received.

Answer: C

Explanation:
Amazon EventBridge can receive events from monitoring tools and use rules to start a Systems Manager Automation runbook automatically when matching issue events are detected. This creates an event-driven remediation workflow without requiring manual runbook execution.

NEW QUESTION # 228
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?

A. 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.
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.
C. 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.
D. 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.

Answer: A

Explanation:
High availability requires removing single-AZ risk and eliminating manual recovery. The AWS Reliability best practices state to design for multi-AZ and automatic healing: Auto Scaling "helps maintain application availability and allows you to automatically add or remove EC2 instances" (AWS Auto Scaling User Guide).
The Reliability Pillar recommends to "distribute workloads across multiple Availability Zones" and to
"automate recovery from failure" (AWS Well-Architected Framework - Reliability Pillar). Attaching the Auto Scaling group to an ALB target group enables health-based replacement: instances failing load balancer health checks are replaced and traffic is routed only to healthy targets. Using an AMI in a launch template ensures consistent, repeatable instance configuration (AWS EC2 Launch Templates). Options A and C keep all instances in a single Availability Zone and rely on manual or ad-hoc restarts, which do not meet high- availability or resiliency goals. Option B only scales vertically and adds a restart rule; it neither removes the single-AZ failure domain nor provides automated replacement. Therefore, creating a multi-AZ EC2 Auto Scaling group with a launch template and attaching it to the ALB target group (Option D) is the CloudOps- aligned solution for resilience and business continuity.
References:* AWS Certified CloudOps Engineer - Associate (SOA-C03) Exam Guide: Domain 2 - Reliability and Business Continuity* AWS Well-Architected Framework - Reliability Pillar* Amazon EC2 Auto Scaling User Guide - Health checks and replacement* Elastic Load Balancing User Guide - Target group health checks and ALB integration* Amazon EC2 Launch Templates - Reproducible instance configuration

NEW QUESTION # 229
A company has two AWS accounts connected by a transit gateway. Each account has one VPC in the same AWS Region. The company wants to simplify inbound and outbound rules in security groups by referencing security group IDs instead of IP CIDR blocks.
Which solution will meet this requirement?

A. Enable security group referencing support on each transit gateway attachment.
B. Enable security group referencing support on the transit gateway.
C. Create VPC peering connections and remove the transit gateway.
D. Deploy private NAT gateways in each VPC.

Answer: A

Explanation:
Comprehensive Explanation (250-350 words):
AWS Transit Gateway supports security group referencing across VPCs, but this feature must be explicitly enabled on each transit gateway attachment. Once enabled, security groups in one VPC can reference security groups in another VPC attached to the same transit gateway, simplifying rule management and improving security posture.
Enabling the feature on the transit gateway itself is not sufficient; it must be enabled per attachment to allow traffic evaluation based on security group IDs. This approach avoids brittle CIDR-based rules and allows dynamic scaling without rule updates.
Option A removes the transit gateway, which contradicts the existing architecture. Option B is incomplete.
Option D does not address security group referencing.
Thus, enabling security group referencing on each transit gateway attachment is the correct solution.

NEW QUESTION # 230
A company has an application that collects notifications from thousands of alarm systems. Notifications include alarm notifications and information notifications. All notifications are stored in an Amazon Simple Queue Service (Amazon SQS) queue. Amazon EC2 instances in an Auto Scaling group process the messages.
A CloudOps engineer needs to prioritize alarm notifications over information notifications.
Which solution will meet these requirements?

A. Create separate SQS queues for alarm notifications and information notifications and process alarm messages first.
B. Scale the Auto Scaling group faster when message volume increases.
C. Use Amazon SNS fanout to send messages to all EC2 instances.
D. Add an Amazon DynamoDB stream to accelerate processing.

Answer: A

Explanation:
Amazon SQS does not support message prioritization within a single queue. To prioritize certain messages, AWS recommends using multiple queues and processing them in priority order.
By separating alarm notifications into one queue and information notifications into another, the application can poll and process the alarm queue first. This ensures that critical alarm messages are handled immediately, even during high load.
Scaling faster or using SNS fanout does not guarantee priority. DynamoDB streams are unrelated to SQS message ordering.
Therefore, separate queues provide a simple, scalable, and effective prioritization mechanism.

NEW QUESTION # 231
A company is running workloads on premises and on AWS. A CloudOps engineer needs to automate tasks across all servers on premises by using AWS services. The CloudOps engineer must not install long-term credentials on the on-premises servers. What should the CloudOps engineer do to meet these requirements?

A. Create a managed-instance activation in AWS Systems Manager. Install the Systems Manager Agent on the on-premises servers. Register the servers with the activation code and ID from the managed-instance activation.
B. Create an AWS managed IAM policy that includes the appropriate AWS Systems Manager permissions. Download the IAM policy to the on-premises servers.
C. Create an IAM user and an access key. Log on to the on-premises servers and install the AWS CLI. Configure the access key in the AWS credentials file after the AWS CLI is successfully installed.
D. Create an IAM role and instance profile that include AWS Systems Manager permissions. Attach the role to the on-premises servers.

Answer: A

Explanation:
AWS Systems Manager supports hybrid and multicloud managed nodes through managed- instance activations. The CloudOps engineer creates an activation in Systems Manager, installs SSM Agent on the on-premises servers, and registers the servers by using the activation code and activation ID. This allows Systems Manager to manage those servers without storing long- term IAM user credentials on each machine.

NEW QUESTION # 232
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