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Amazon SOA-C03 Exam Syllabus Topics:

TopicDetails
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
  • 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
  • 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 4
  • 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 5
  • 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.

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Amazon AWS Certified CloudOps Engineer - Associate Sample Questions (Q106-Q111):

NEW QUESTION # 106
A company's application runs on Amazon EC2 instances behind an Application Load Balancer (ALB). The company has configured an Amazon CloudWatch alarm to monitor the HTTPCode_Target_5XX_Count metric. The application crashes every few days during business hours. The crashes trigger the CloudWatch alarm and result in service disruption.
The cause of the crashes is a memory leak in the application. While developers work to fix the problem, a CloudOps engineer needs to implement a temporary solution. The solution must automatically reboot the EC2 instances every day and must minimize application disruption during business hours.
Which solution will meet these requirements?

Answer: C

Explanation:
AWS Systems Manager Maintenance Windows can schedule operational tasks outside business hours and target the EC2 instances automatically. The AWS-RestartEC2Instance runbook reboots the instances on the defined schedule, reducing the likelihood of memory-leak crashes during business hours while minimizing service disruption.


NEW QUESTION # 107
A CloudOps engineer is troubleshooting an implementation of Amazon CloudWatch Synthetics. The CloudWatch Synthetics results must be sent to an Amazon S3 bucket.
The CloudOps engineer has copied the configuration of an existing canary that runs on a VPC that has an internet gateway attached. However, the CloudOps engineer cannot get the canary to successfully start on a private VPC that has no internet access.
What should the CloudOps engineer do to successfully run the canary on the private VPC?

Answer: D

Explanation:
Comprehensive Explanation (250-350 words):
CloudWatch Synthetics canaries require connectivity to both CloudWatch and Amazon S3 to function correctly. In a private VPC without internet access, AWS service access must be provided through VPC endpoints.
The canary needs to send metrics, logs, and execution data to CloudWatch, which requires an interface VPC endpoint for CloudWatch. It also needs to store artifacts such as screenshots and HAR files in Amazon S3, which requires a gateway VPC endpoint for S3. Without these endpoints, the canary cannot communicate with required AWS services and will fail to start.
DNS resolution and DNS hostnames must be enabled so the canary can resolve AWS service endpoints to the private IP addresses exposed by the VPC endpoints. This is a mandatory prerequisite for PrivateLink-based service access.
Option B and C incorrectly disable DNS functionality, which breaks service endpoint resolution. Option A includes invalid or irrelevant permissions and does not address private connectivity requirements.
Therefore, enabling DNS support and creating both the CloudWatch interface endpoint and the S3 gateway endpoint is the correct and complete solution.


NEW QUESTION # 108
A company runs a web application on three Amazon EC2 instances behind an Application Load Balancer (ALB). The company notices that random periods of increased traffic cause a degradation in the application's performance.
A CloudOps engineer must scale the application to meet the increased traffic.
Which solution meets these requirements?

Answer: C

Explanation:
Auto Scaling groups with target tracking scaling policies automatically adjust capacity based on real-time demand. This solution is ideal for handling unpredictable and random traffic spikes.
Target tracking scaling maintains a metric, such as average CPU utilization or request count per target, at a defined target value. The Auto Scaling group automatically launches or terminates instances as traffic fluctuates.
Manual scaling, EventBridge-based scaling, or scheduled scaling do not respond dynamically to random traffic patterns.
Therefore, an Auto Scaling group with a target tracking scaling policy is the correct solution.


NEW QUESTION # 109
A company uses hundreds of Amazon EC2 On-Demand Instances and Spot Instances to run production and non-production workloads. The company installs and configures the AWS Systems Manager Agent (SSM Agent) on the EC2 instances.
During a recent instance patch operation, some instances were not patched because the instances were either busy or down. The company needs to generate a report that lists the current patch version of all instances.
Which solution will meet these requirements in the MOST operationally efficient way?

Answer: B

Explanation:
Comprehensive Explanation (250-350 words):
AWS Systems Manager Inventory is designed to collect metadata from managed instances, including installed software, applications, and patch information. It works asynchronously and does not require instances to be actively running a command at the time of collection, which is critical when instances may be busy or temporarily unavailable during patch windows.
Inventory data is stored centrally and can be queried to generate reports showing the current patch level or installed patch versions across all managed instances. This makes it well-suited for large fleets that include both On-Demand and Spot Instances and that may scale dynamically.
Option B relies on Run Command, which requires instances to be online and available at execution time. This does not meet the requirement because some instances were already missed during patch operations due to being busy or down. Option C and Option D use AWS Config, which is primarily intended for configuration compliance and drift detection, not detailed patch version reporting. Creating custom or managed rules for patch status introduces unnecessary complexity and overhead compared to Inventory's built-in capability.
Therefore, Systems Manager Inventory provides the most operationally efficient and reliable solution for collecting and reporting patch version data across all EC2 instances.


NEW QUESTION # 110
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: D

Explanation:
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.


NEW QUESTION # 111
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