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Amazon SOA-C03 Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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 2
  • 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 3
  • 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 4
  • 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 5
  • 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.

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Amazon AWS Certified CloudOps Engineer - Associate Sample Questions (Q16-Q21):

NEW QUESTION # 16
A global gaming company is preparing to launch a new game on AWS. The game runs in multiple AWS Regions on a fleet of Amazon EC2 instances. The instances are in an Auto Scaling group behind an Application Load Balancer (ALB) in each Region. The company plans to use Amazon Route 53 for DNS services. The DNS configuration must direct users to the Region that is closest to them and must provide automated failover.
Which combination of steps should a CloudOps engineer take to configure Route 53 to meet these requirements? (Select TWO.)

Answer: B,C

Explanation:
The combination of geoproximity routing and DNS failover health checks provides global low-latency routing with high availability.
Geoproximity routing in Route 53 routes users to the AWS Region closest to their geographic location, optimizing latency. For automatic failover, Route 53 health checks can monitor CloudWatch alarms tied to the health of the ALB in each Region. When a Region becomes unhealthy, Route 53 reroutes traffic to the next available Region automatically.
AWS documentation states:
"Use geoproximity routing to direct users to resources based on geographic location, and configure health checks to provide DNS failover for high availability." Option B incorrectly monitors EC2 instances directly, which is not efficient at scale. Option C uses private IPs, which cannot be globally health-checked. Option E (simple routing) does not support geographic or failover routing. Hence, A and D together meet both the proximity and failover requirements.
References:* AWS Certified CloudOps Engineer - Associate (SOA-C03) Exam Guide - Domain 5:
Networking and Content Delivery* Amazon Route 53 Developer Guide - Geoproximity Routing and DNS Failover* AWS Well-Architected Framework - Reliability Pillar* Amazon CloudWatch Alarms - Integration with Route 53 Health Checks


NEW QUESTION # 17
A company uses AWS Organizations to manage multiple AWS accounts. A CloudOps engineer must identify all IPv4 ports open to 0.0.0.0/0 across the organization's accounts.
Which solution will meet this requirement with the LEAST operational effort?

Answer: A

Explanation:
According to AWS Cloud Operations and Governance documentation, AWS Trusted Advisor provides automated checks for security group rules across all accounts, including identifying ports open to 0.0.0.0/0.
When viewed in organizational mode, Trusted Advisor integrates with AWS Organizations, allowing administrators to access organization-wide security findings from a central management account. This approach requires no custom code, additional infrastructure, or manual inspection, providing immediate visibility and the lowest operational overhead.
AWS CLI scripts (Option A) or Lambda automation (Option C) introduce additional maintenance, and Amazon Inspector (Option D) is focused on instance-level vulnerabilities, not network access rules.
Therefore, Option B is the AWS-recommended CloudOps best practice for centralized and low-effort open-port auditing.


NEW QUESTION # 18
A CloudOps engineer is troubleshooting an AWS CloudFormation stack creation that failed. Before the CloudOps engineer can identify the problem, the stack and its resources are deleted. For future deployments, the CloudOps engineer must preserve any resources that CloudFormation successfully created.
What should the CloudOps engineer do to meet this requirement?

Answer: D

Explanation:
By default, when AWS CloudFormation encounters a failure during stack creation, it automatically rolls back and deletes any resources that were successfully created. This behavior makes troubleshooting difficult because the failed and partially created resources are no longer available for inspection.
CloudFormation provides the OnFailure parameter to control this behavior. Setting the parameter to DO_NOTHING instructs CloudFormation to stop stack creation when a failure occurs and retain all successfully created resources. This allows the CloudOps engineer to inspect the environment, review logs, and identify the root cause without redeploying resources.
The DisableRollback parameter controls rollback behavior but does not provide the same explicit behavior control during failure scenarios. Rollback triggers are used for monitoring-based rollback, not for preserving resources on failure. Setting OnFailure to ROLLBACK explicitly enforces deletion, which is the opposite of the requirement.
Therefore, setting the OnFailure parameter to DO_NOTHING is the correct solution.


NEW QUESTION # 19
A company uses two production environments for deployments. A blue stack and a green stack are each behind a unique Application Load Balancer (ALB). The company wants to use DNS to send some traffic to green and gradually increase traffic over time. The company wants automatic tailback if green becomes unhealthy. Which DNS configuration will meet these requirements?

Answer: C

Explanation:
Amazon Route 53 weighted alias records allow traffic to be distributed between the blue and green ALBs according to configurable weights. The weight assigned to the green environment can be increased gradually during deployment. Health evaluation ensures that traffic is not routed to an unhealthy endpoint, allowing traffic to fall back automatically to the healthy blue environment if the green environment becomes unhealthy.


NEW QUESTION # 20
A CloudOps engineer configures an application to run on Amazon EC2 instances behind an Application Load Balancer (ALB) in a simple scaling Auto Scaling group with the default settings. The Auto Scaling group is configured to use the RequestCountPerTarget metric for scaling. The CloudOps engineer notices that the RequestCountPerTarget metric exceeded the specified limit twice in 180 seconds.
How will the number of EC2 instances in this Auto Scaling group be affected in this scenario?

Answer: C

Explanation:
Comprehensive and Detailed Explanation From Exact Extract of AWS CloudOps Doocuments:
With simple scaling policies, an Auto Scaling group performs one scaling activity when the alarm condition is met, then observes a default cooldown period (300 seconds) before another scaling activity of the same type can begin. CloudOps guidance explains that cooldown prevents rapid successive scale-outs by allowing time for the newly launched instance(s) to register with the load balancer and impact the metric. Even if the alarm breaches multiple times during the cooldown window, the group waits until the cooldown completes before evaluating and acting again. In this case, although RequestCountPerTarget exceeded the threshold twice within 180 seconds, the group will launch a single instance and then wait for cooldown before any additional scale-out can occur. Options A, C, and D do not reflect the behavior of simple scaling with cooldowns; A describes step/target-tracking-like behavior, and C/D are not Auto Scaling mechanics.
References (AWS CloudOps Documents / Study Guide):
* Amazon EC2 Auto Scaling - Simple Scaling Policies and Cooldown (User Guide)
* Elastic Load Balancing Metrics - ALB RequestCountPerTarget (CloudWatch Metrics)
* AWS Well-Architected Framework - Performance Efficiency & Operational Excellence


NEW QUESTION # 21
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