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Amazon SOA-C03 Exam Syllabus Topics:

SectionWeightObjectives
Deployment, Provisioning, and Automation22%- Implement automation for operational tasks
  • 1. Automate deployments using AWS CodeDeploy, AWS CodePipeline
  • 2. Use AWS Systems Manager for patch management and maintenance
- Manage configuration and secrets
  • 1. Implement configuration management strategies
  • 2. Use AWS Systems Manager Parameter Store and AWS Secrets Manager
- Provision and maintain AWS resources
  • 1. Manage stacks of resources by using CloudFormation
  • 2. Create and manage infrastructure as code using AWS CloudFormation and AWS CDK
Reliability and Business Continuity22%- Implement backup and recovery strategies
  • 1. Configure AWS Backup for automated backups
  • 2. Implement disaster recovery procedures and test recovery processes
- Implement scalability and elasticity
  • 1. Configure Auto Scaling groups and policies
  • 2. Implement load balancing strategies using ELB
- Implement high availability and fault tolerance
  • 1. Configure multi-AZ and multi-Region architectures
  • 2. Deploy resources across multiple Availability Zones
Monitoring, Logging, Analysis, Remediation, and Performance Optimization22%- Implement remediation actions based on monitoring and logging data
  • 1. Configure automated remediation using AWS Systems Manager, AWS Lambda, or Amazon EventBridge
  • 2. Troubleshoot and resolve operational issues using monitoring data
- Optimize performance of AWS resources
  • 1. Implement performance tuning for EC2 instances, databases, and other AWS services
  • 2. Use AWS Compute Optimizer and AWS Trusted Advisor for performance recommendations
- Implement metrics, alarms, and filters by using AWS monitoring and logging services
  • 1. Create and manage CloudWatch alarms, dashboards, and metric filters
  • 2. Configure AWS monitoring and logging by using AWS services (e.g., Amazon CloudWatch, AWS CloudTrail)
  • 3. Configure and manage the CloudWatch agent to collect metrics and logs from EC2 instances, Amazon ECS clusters, or Amazon EKS clusters
Security and Compliance16%- Ensure compliance requirements are met
  • 1. Enforce compliance requirements (e.g., Region and service selections)
  • 2. Use AWS Config, AWS CloudTrail, and Amazon GuardDuty for compliance monitoring
- Implement and manage security controls
  • 1. Implement security groups, NACLs, and AWS WAF
  • 2. Configure IAM users, groups, roles, and policies
- Implement data protection
  • 1. Configure encryption at rest and in transit
  • 2. Manage SSL/TLS certificates using AWS Certificate Manager
Networking and Content Delivery18%- Configure DNS and content delivery
  • 1. Configure Amazon CloudFront distributions
  • 2. Manage Amazon Route 53 hosted zones and routing policies
- Implement network security and troubleshooting
  • 1. Configure network access control lists (NACLs) and security groups
  • 2. Troubleshoot network connectivity issues using VPC Flow Logs
- Implement and manage networking configurations
  • 1. Implement VPC peering, AWS Transit Gateway, and VPN connections
  • 2. Configure VPCs, subnets, route tables, and internet gateways

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Amazon AWS Certified CloudOps Engineer - Associate Sample Questions (Q120-Q125):

NEW QUESTION # 120
A company uses multiple Amazon RDS databases to support an application. The application receives all its traffic during weekdays and is idle during weekends. The company wants a solution to automatically manage the RDS DB instances during idle periods to optimize costs.
Which solution will meet these requirements?

Answer: D

Explanation:
The Instance Scheduler on AWS is an AWS-provided solution designed specifically to start and stop AWS resources such as Amazon RDS instances on a defined schedule. This directly aligns with the requirement to automatically manage RDS instances during predictable idle periods, such as weekends, to reduce costs.
RDS instances incur compute charges while running, even if idle. Stopping them during weekends eliminates those charges while retaining storage and backups. Instance Scheduler supports tag-based scheduling, centralized management, and automated start/stop workflows without custom scripting.
Option A introduces custom automation and ongoing maintenance overhead. Option C (Reserved Instances) is unsuitable because the databases are idle for long, predictable periods and Reserved Instances charge regardless of usage. Option D is incorrect because RDS does not support auto scaling of DB instance classes based on utilization.
Instance Scheduler is the most cost-effective and operationally efficient solution for this use case.


NEW QUESTION # 121
A company runs a critical application by using Amazon DynamoDB. During a recent deployment, the application accidentally wrote incorrect data to a DynamoDB table. The table has point-in-time recovery (PITR) enabled with continuous backups. DynamoDB Streams is enabled on the table. The company's recovery point objective (RPO) is 2 minutes.
A CloudOps engineer must restore the table to its state from 2 minutes before the corruption occurred.
Which solution will meet these requirements?

Answer: B

Explanation:
DynamoDB point-in-time recovery continuously backs up table data and can restore the table to a selected second within the recovery window. AWS documentation states that a PITR restore restores the data to a new table, not in place on the existing table. Therefore, the correct process is to restore the table to the timestamp two minutes before the corruption and then update the application to use the newly restored table. Option A is wrong because PITR does not update the existing table in place. Option C uses an on-demand snapshot, which might not meet the 2-minute RPO. Option D is unsafe because DynamoDB Streams are not a managed reverse-transaction rollback mechanism. PITR to a new table is the reliable recovery method.


NEW QUESTION # 122
A company runs an application on Amazon EC2 that connects to an Amazon Aurora PostgreSQL database. A developer accidentally drops a table from the database, causing application errors. Two hours later, a CloudOps engineer needs to recover the data and make the application functional again.
Which solution will meet this requirement?

Answer: B

Explanation:
In the AWS Cloud Operations and Aurora documentation, when data loss occurs due to human error such as dropped tables, Point-in-Time Recovery (PITR) is the recommended method for restoration. PITR creates a new Aurora cluster restored to a specific time before the failure.
The restored cluster has a new endpoint that must be reconfigured in the application to resume normal operations. AWS does not support performing PITR directly on an existing production database because that would overwrite current data.
Aurora Backtrack (Option A) applies only to Aurora MySQL, not PostgreSQL. Option B is incorrect because PITR cannot be executed in place. Option D refers to an import process from S3, which is unrelated to time- based recovery.
Hence, Option C is correct and follows the AWS CloudOps standard recovery pattern for PostgreSQL workloads.
Reference: AWS Cloud Operations & Aurora Guide - Section: Performing Point-in-Time Recovery for Aurora PostgreSQL Clusters


NEW QUESTION # 123
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: D

Explanation:
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 # 124
Application A runs on Amazon EC2 instances behind a Network Load Balancer (NLB). The EC2 instances are in an Auto Scaling group and are in the same subnet that is associated with the NLB. Other applications from an on-premises environment cannot communicate with Application A on port 8080.
To troubleshoot the issue, a CloudOps engineer analyzes the flow logs. The flow logs include the following records:
* ACCEPT from 192.168.0.13:59003 # 172.31.16.139:8080
* REJECT from 172.31.16.139:8080 # 192.168.0.13:59003
What is the reason for the rejected traffic?

Answer: C

Explanation:
Comprehensive and Detailed Explanation From Exact Extract of AWS CloudOps Doocuments:
VPC Flow Logs show the request arriving and being ACCEPTed on dstport 8080 and the corresponding response being REJECTed on the return path to the client's ephemeral port (59003). AWS networking guidance states that security groups are stateful (return traffic is automatically allowed) while network ACLs are stateless and require explicit inbound and outbound rules for both directions. CloudOps operational guidance for VPC networking further notes that when you allow an inbound request (for example, TCP 8080) through a subnet's network ACL, you must also allow the outbound ephemeral port range (typically 1024-
65535) for the response traffic; otherwise, the return packets are dropped and appear as REJECT in flow logs.
The observed pattern-request accepted to 8080, response rejected to 59003-matches a missing outbound ephemeral-range allow on the subnet's NACL. Therefore, the cause is the subnet NACL, not security groups or on-premises ACLs. The remediation is to add an outbound ALLOW rule on the NACL for the appropriate ephemeral TCP port range back to the on-premises CIDR (and the corresponding inbound rule if asymmetric).
References:* AWS Certified CloudOps Engineer - Associate (SOA-C03) Exam Guide - Networking and Content Delivery* Amazon VPC - Network ACLs (stateless behavior and rule requirements)* Amazon VPC - Security Groups (stateful return traffic)* VPC Flow Logs - Record fields, ACCEPT/REJECT analysis


NEW QUESTION # 125
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