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Amazon SOA-C03 Exam Syllabus Topics:

SectionWeightObjectives
Deployment, Provisioning, and Automation20%- Deploy and provision resources consistently
  • 1. Use AWS CloudFormation, Terraform, or other IaC tools
    • 2. Manage infrastructure provisioning and updates
      - Automate operational tasks and workflows
      • 1. Implement automation with AWS Systems Manager, Lambda, EventBridge
        • 2. Manage configuration and state compliance
          Reliability and Business Continuity22%- Design and implement high availability and fault tolerance
          • 1. Configure multi-AZ, scaling, and redundancy
            - Implement backup, restore, and disaster recovery strategies
            • 1. Plan and execute recovery procedures
              • 2. Manage snapshots, backups, and replication
                Networking and Content Delivery18%- Optimize and troubleshoot network connectivity and performance
                • 1. Work with AWS Direct Connect, Transit Gateway, and CloudFront
                  - Configure and maintain AWS networking services
                  • 1. Manage VPC, subnets, gateways, routing, and security groups
                    Monitoring, Logging, Analysis, Remediation, and Performance Optimization22%- Collect and interpret metrics, logs, and events
                    • 1. Use Amazon CloudWatch for monitoring and alerting
                      • 2. Analyze logs with CloudWatch Logs, CloudTrail, and other tools
                        - Remediate issues and optimize performance
                        • 1. Tune resources for cost and performance efficiency
                          • 2. Implement automated responses and corrective actions
                            Security and Compliance18%- Enforce security controls and compliance requirements
                            • 1. Audit and validate compliance with standards
                              • 2. Secure data at rest and in transit
                                - Implement identity and access management
                                • 1. Manage IAM users, roles, policies, and permissions

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                                  Amazon AWS Certified CloudOps Engineer - Associate Sample Questions (Q215-Q220):

                                  NEW QUESTION # 215
                                  A development team wants to match events on Amazon EventBridge where the state of an Amazon EC2 machine is not "terminated".
                                  An example event is as follows:

                                  Which event pattern should the development team use to find relevant events?

                                  Answer: A

                                  Explanation:
                                  EventBridge supports negated matching by using anything-but. Combining anything-but with equals-ignore-case matches EC2 state values that are not equal to terminated, regardless of case.


                                  NEW QUESTION # 216
                                  A company needs to log and audit any principal that publishes messages to Amazon Simple Notification Service (Amazon SNS) topics and Amazon Simple Queue Service (Amazon SQS) queues. The company wants to ensure that all communication with these services uses VPC endpoints.
                                  Which combination of solutions will meet these requirements? (Select TWO.)

                                  Answer: B,E

                                  Explanation:
                                  Comprehensive and Detailed Explanation From Exact Extract of AWS CloudOps Documents:
                                  To meet the requirement to log and audit any principal that publishes to SNS topics and interacts with SQS queues, the correct service is AWS CloudTrail, because CloudTrail records API activity (who did what, when, and from where). Enabling data events (where supported/required for deeper visibility) provides detailed records for operations such as publishing messages and sending/receiving messages. Delivering CloudTrail logs to Amazon S3 provides durable retention and supports querying workflows.
                                  To ensure that communication uses VPC endpoints, the company should configure VPC endpoints for SNS and SQS and then validate usage by inspecting CloudTrail event records. CloudTrail includes endpoint- related context fields (for example, a VPC endpoint identifier) that allow auditors to confirm that the request path used a VPC endpoint rather than traversing the public internet. This directly addresses the "must use VPC endpoints" control with auditable evidence.
                                  The other options do not satisfy both requirements. CloudWatch Logs does not automatically capture SNS
                                  /SQS API caller identity for publish/send/receive operations in the same authoritative way CloudTrail does.
                                  EventBridge can capture service events but is not the primary audit log of API calls and does not inherently prove VPC endpoint usage per request. Inspecting a VPC endpoint field in CloudWatch Logs is not the standard audit mechanism for these API calls.
                                  References:
                                  AWS CloudTrail User Guide - Event records, management events, data events, delivery to Amazon S3 Amazon SNS Developer Guide - API actions and logging/auditing considerations Amazon SQS Developer Guide - API actions and logging/auditing considerations Amazon VPC User Guide - Interface VPC endpoints (AWS PrivateLink) and private access to AWS services


                                  NEW QUESTION # 217
                                  An application runs on Amazon EC2 instances that are in an Auto Scaling group. A CloudOps engineer needs to implement a solution that provides a central storage location for errors that the application logs to disk. The solution must also provide an alert when the application logs an error.
                                  What should the CloudOps engineer do to meet these requirements?

                                  Answer: D

                                  Explanation:
                                  The AWS Cloud Operations and Monitoring documentation specifies that the Amazon CloudWatch Agent is the recommended tool for collecting system and application logs from EC2 instances. The agent pushes these logs into a centralized CloudWatch Logs group, providing durable storage and real-time monitoring.
                                  Once the logs are centralized, a CloudWatch Metric Filter can be configured to search for specific error keywords (for example, "ERROR" or "FAILURE"). This filter transforms matching log entries into custom metrics. From there, a CloudWatch Alarm can monitor the metric threshold and publish notifications to an Amazon SNS topic, which can send email or SMS alerts to subscribed recipients.
                                  This combination provides a fully automated, managed, and serverless solution for log aggregation and error alerting. It eliminates the need for manual cron jobs (Option B), custom scripts (Option D), or Lambda- based log streaming (Option C).
                                  Reference: AWS Cloud Operations & Monitoring Guide - Collecting Application Logs and Creating Alarms Using CloudWatch Agent, Metric Filters, and SNS Notifications


                                  NEW QUESTION # 218
                                  A company needs to monitor its website's availability to end users. The company needs a solution to provide an Amazon Simple Notification Service (Amazon SNS) notification if the website's uptime decreases to less than 99%. The monitoring must provide an accurate view of the user experience on the website.
                                  Which solution will meet these requirements?

                                  Answer: D

                                  Explanation:
                                  CloudWatch Synthetics heartbeat canaries simulate real user traffic to continuously monitor website availability and performance from an end-user perspective. By setting a CloudWatch alarm on the SuccessPercent metric and configuring it to send SNS notifications when uptime falls below 99%, the company gains accurate, automated monitoring of actual user experience with minimal operational effort.


                                  NEW QUESTION # 219
                                  A company is preparing for a marketing campaign that will increase traffic to a new web application. The application uses Amazon API Gateway and AWS Lambda for the application logic. The application stores relevant user data in an Amazon Aurora MySQL DB cluster that has one Aurora Replica. Database queries for the application are 5% write and 95% read. What should a CloudOps engineer do to scale the database when traffic increases?

                                  Answer: B

                                  Explanation:
                                  Because the application workload is 95% reads, the best database scaling approach is to add or remove Aurora Replicas. Aurora Auto Scaling can automatically adjust the number of Aurora Replicas in a DB cluster based on metrics such as average CPU utilization or average connections across replicas. This allows the read tier to scale as campaign traffic increases while the primary writer continues to handle the smaller write workload. Option B is incorrect because Aurora Auto Scaling scales the number of replicas; it does not vertically resize existing replicas.
                                  Options C and D are worded around generic AWS Auto Scaling rather than Aurora Auto Scaling and use less appropriate metric relationships. Scaling based on replica CPU utilization directly addresses read pressure. Therefore, configure Aurora Auto Scaling for Aurora Replicas.


                                  NEW QUESTION # 220
                                  ......

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