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Amazon SOA-C03 Exam Syllabus Topics:

Section	Weight	Objectives
Security and Compliance	16%	- Implement and manage security controls 1. Implement security groups, NACLs, and AWS WAF 2. Configure IAM users, groups, roles, and policies - Ensure compliance requirements are met 1. Use AWS Config, AWS CloudTrail, and Amazon GuardDuty for compliance monitoring 2. Enforce compliance requirements (e.g., Region and service selections) - Implement data protection 1. Configure encryption at rest and in transit 2. Manage SSL/TLS certificates using AWS Certificate Manager
Reliability and Business Continuity	22%	- Implement backup and recovery strategies 1. Implement disaster recovery procedures and test recovery processes 2. Configure AWS Backup for automated backups - Implement high availability and fault tolerance 1. Deploy resources across multiple Availability Zones 2. Configure multi-AZ and multi-Region architectures - Implement scalability and elasticity 1. Implement load balancing strategies using ELB 2. Configure Auto Scaling groups and policies
Monitoring, Logging, Analysis, Remediation, and Performance Optimization	22%	- Implement metrics, alarms, and filters by using AWS monitoring and logging services 1. Configure AWS monitoring and logging by using AWS services (e.g., Amazon CloudWatch, AWS CloudTrail) 2. Configure and manage the CloudWatch agent to collect metrics and logs from EC2 instances, Amazon ECS clusters, or Amazon EKS clusters 3. Create and manage CloudWatch alarms, dashboards, and metric filters - 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
Networking and Content Delivery	18%	- Implement and manage networking configurations 1. Configure VPCs, subnets, route tables, and internet gateways 2. Implement VPC peering, AWS Transit Gateway, and VPN connections - Implement network security and troubleshooting 1. Configure network access control lists (NACLs) and security groups 2. Troubleshoot network connectivity issues using VPC Flow Logs - Configure DNS and content delivery 1. Manage Amazon Route 53 hosted zones and routing policies 2. Configure Amazon CloudFront distributions
Deployment, Provisioning, and Automation	22%	- Implement automation for operational tasks 1. Use AWS Systems Manager for patch management and maintenance 2. Automate deployments using AWS CodeDeploy, AWS CodePipeline - Manage configuration and secrets 1. Use AWS Systems Manager Parameter Store and AWS Secrets Manager 2. Implement configuration management strategies - 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

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Amazon AWS Certified CloudOps Engineer - Associate SOA-C03 Prüfungsfragen mit Lösungen (Q124-Q129):

124. Frage
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?

A. Use the auto scaling feature of Amazon RDS to automatically adjust the DB instance type based on CPU utilization.
B. Configure Instance Scheduler on AWS to stop the RDS DB instances at the beginning of each weekend and to start the instances at the end of each weekend.
C. Purchase Reserved Instances for the RDS DB instances.
D. Use a cron job to automatically scale down the RDS DB instance type during weekends.

Antwort: B

Begründung:
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.

125. Frage
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?

A. Deploy the application to an Auto Scaling group of EC2 instances with a target tracking scaling policy. Attach the ALB to the Auto Scaling group.
B. Create an Amazon EventBridge rule to monitor application latency and add an EC2 instance to the ALB if the desired threshold is reached.
C. Deploy the application to an Auto Scaling group of EC2 instances with a scheduled scaling policy.Attach the ALB to the Auto Scaling group.
D. Create an Amazon CloudWatch alarm to monitor application latency and increase the size of each EC2 instance if the desired threshold is reached.

Antwort: A

Begründung:
An Auto Scaling group (ASG) with a target tracking scaling policy automatically adjusts the number of EC2 instances based on real-time demand (for example, CPU utilization or request count). This allows the application to handle sudden, volatile traffic spikes seamlessly while maintaining performance. The Application Load Balancer (ALB) distributes traffic evenly among the instances in the ASG, ensuring scalability and fault tolerance without manual intervention.

126. Frage
A company runs an application on Amazon EC2 instances behind an Elastic Load Balancer (ELB) in an Auto Scaling group. The application performs well except during a 2-hour period of daily peak traffic, when performance slows.
A CloudOps engineer must resolve this issue with minimal operational effort.
What should the engineer do?

A. Create a scheduled scaling action to scale out the number of EC2 instances shortly before the increase in user traffic occurs.
B. Adjust the minimum capacity of the Auto Scaling group to the size required to meet the increased demand during the 2-hour period.
C. Adjust the launch template that is associated with the Auto Scaling group to be more sensitive to increases in user traffic.
D. Manually add a few more EC2 instances to the Auto Scaling group to support the increase in user traffic. Enable instance scale-in protection on the Auto Scaling group.

Antwort: A

Begründung:
According to the AWS Cloud Operations and Compute documentation, when workloads exhibit predictable traffic patterns, the best practice is to use scheduled scaling for Amazon EC2 Auto Scaling groups.
With scheduled scaling, administrators can predefine the desired capacity of an Auto Scaling group to increase before anticipated demand (in this case, before the 2-hour peak) and scale back down afterward. This ensures that sufficient compute capacity is provisioned proactively, avoiding performance degradation while maintaining cost efficiency.
AWS notes: "Scheduled actions enable scaling your Auto Scaling group at predictable times, allowing you to pre-warm instances before demand spikes." Manual scaling (Option D) adds operational overhead. Adjusting launch templates (Option B) doesn't affect scaling behavior, and permanently increasing minimum capacity (Option A) wastes resources outside of peak hours.
Thus, Option C provides an automated, cost-effective, and operationally efficient CloudOps solution.

127. Frage
A company uses Amazon ElastiCache (Redis OSS) to cache application data. A CloudOps engineer must implement a solution to increase the resilience of the cache. The solution also must minimize the recovery time objective (RTO).
Which solution will meet these requirements?

A. Enable automatic backups. Restore the backups when necessary.
B. Create an Amazon EventBridge rule to initiate a backup every hour. Restore the backup when necessary.
C. Replace ElastiCache (Redis OSS) with ElastiCache (Memcached).
D. Create a read replica in a second Availability Zone. Enable Multi-AZ for the ElastiCache (Redis OSS) replication group.

Antwort: D

Begründung:
For high availability and fast failover, ElastiCache for Redis supports replication groups with Multi- AZ and automatic failover. CloudOps guidance states that a primary node can be paired with one or more replicas across multiple Availability Zones; if the primary fails, Redis automatically promotes a replica to primary in seconds, thereby minimizing RTO. This architecture maintains in- memory data continuity without waiting for backup restore operations. Backups (Options B and D) provide durability but require restore and re-warm procedures that increase RTO and may impact application latency. Switching engines (Option A) to Memcached does not provide Redis replication/failover semantics and would not inherently improve resilience for this use case.
Therefore, creating a read replica in a different AZ and enabling Multi-AZ with automatic failover is the prescribed CloudOps pattern to increase resilience and achieve the lowest practical RTO for Redis caches.

128. Frage
A company's CloudOps engineer monitors multiple AWS accounts in an organization and checks each account's AWS Health Dashboard. After adding 10 new accounts, the engineer wants to consolidate health alerts from all accounts.
Which solution meets this requirement with the least operational effort?

A. Enable organizational view in AWS Health.
B. Create an AWS Lambda function to query the AWS Health API and write all events to an Amazon DynamoDB table.
C. Configure the Health Dashboard in each account to forward events to a central AWS CloudTrail log.
D. Use the AWS Health API to write events to an Amazon DynamoDB table.

Antwort: A

Begründung:
The AWS Cloud Operations and Governance documentation defines that enabling Organizational View in AWS Health allows the management account in AWS Organizations to view and aggregate health events from all member accounts.
This feature provides a single-pane-of-glass view of service health issues, account-specific events, and planned maintenance across the organization - without requiring additional automation or data pipelines.
Alternative options (B, C, and D) require custom integration and ongoing maintenance. CloudTrail does not natively forward AWS Health events, and custom Lambda or DynamoDB approaches increase complexity.
Therefore, Option A - enabling the Organizational View feature in AWS Health - is the most operationally efficient and AWS-recommended solution.
Reference: AWS Cloud Operations & Governance Guide - Consolidating Multi-Account Health Events with AWS Health Organizational View

129. Frage
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