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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
  • 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 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
  • 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.

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Amazon AWS Certified CloudOps Engineer - Associate Sample Questions (Q281-Q286):

NEW QUESTION # 281
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 # 282
A company's security policy requires incoming SSH traffic to be restricted to a defined set of addresses. The company is using an AWS Config rule to check whether security groups allow unrestricted incoming SSH traffic.
A CloudOps engineer discovers a noncompliant resource and fixes the security group manually. The CloudOps engineer wants to automate the remediation of other noncompliant resources.
What is the MOST operationally efficient solution that meets these requirements?

Answer: C

Explanation:
AWS Config supports automatic remediation for both managed and custom rules. When a resource is found noncompliant, AWS Config can automatically invoke an AWS Systems Manager Automation document to remediate the issue. The managed automation document AWS-DisableIncomingSSHOnPort22 is specifically designed to remove unrestricted SSH access (0.0.0.0/0) from security group inbound rules.
This approach is the most operationally efficient because it requires no custom code, no event orchestration, and no ongoing maintenance. The remediation runs immediately when AWS Config detects noncompliance and ensures consistent enforcement of security policy across all applicable resources.
Options A, C, and D rely on Lambda functions and event-driven glue logic, which significantly increase operational overhead, complexity, and long-term maintenance costs. These approaches are unnecessary when AWS provides a fully managed remediation capability.
Therefore, configuring an automatic remediation action directly on the AWS Config rule is the correct and most efficient solution.


NEW QUESTION # 283
A company runs applications on Amazon EC2 instances. Many of the instances are not patched. The company has a tagging policy. All the instances are tagged with details about the owners, application, and environment.
AWS Systems Manager Agent (SSM Agent) is installed on all the instances.
A SysOps administrator must implement a solution to automatically patch all existing and future instances that have "Prod" in the environment tag. The SysOps administrator plans to create a patch policy in Systems Manager Patch Manager.
Which solution will meet the patching requirements with the LEAST operational overhead?

Answer: A

Explanation:
Comprehensive and Detailed Explanation From Exact Extract of AWS CloudOps Documents:
The correct answer is A because AWS Systems Manager Patch Manager natively supports tag-based targeting, which automatically includes both existing and future instances that match specified tag criteria.
AWS CloudOps documentation states that patch policies can target managed nodes by instance tags, allowing administrators to dynamically scope patching operations without additional automation.
By defining the patch policy target as instances with an environment tag value of "Prod," Patch Manager automatically applies patch baselines to all matching instances. Any new EC2 instance launched with the same tag is included automatically, requiring no manual intervention or additional services. This approach delivers the least operational overhead while remaining fully scalable and compliant.
Options B, C, and D are incorrect because they introduce unnecessary complexity by adding AWS Lambda functions, resource groups, or EventBridge rules. AWS CloudOps best practices emphasize using native Systems Manager capabilities whenever possible to reduce operational burden and failure points.
References:
AWS Systems Manager User Guide - Patch Manager Tag-Based Targeting
AWS SysOps Administrator Study Guide - Automation and Patch Management
AWS Well-Architected Framework - Operational Excellence


NEW QUESTION # 284
A company needs to monitor the disk utilization of Amazon EBS volumes. The EBS volumes are attached to Amazon EC2 Linux instances. A CloudOps engineer must set up an Amazon CloudWatch alarm that provides an alert when disk utilization increases to more than 80%. Which combination of steps must the CloudOps engineer take to meet these requirements? (Choose three.)

Answer: C,D,E

Explanation:
The CloudWatch agent requires permissions to publish operating system-level metrics, so the EC2 instances need an IAM role with the CloudWatchAgentServerPolicy managed policy. The CloudWatch agent must then be installed and started on the Linux instances to collect disk utilization metrics. A CloudWatch alarm can monitor the disk_used_percent metric and enter the ALARM state when utilization exceeds 80%.


NEW QUESTION # 285
A CloudOps engineer needs to build an event infrastructure for a set of custom application- specific events. The events must be sent to an AWS Lambda function for processing. The CloudOps engineer must record the events to replay later by event type or event time.
Which solution will meet these requirements?

Answer: C

Explanation:
A custom EventBridge event bus is the correct choice for handling application-specific events.
You can define an archive on that custom event bus to record and later replay events by event type or timestamp. Creating an EventBridge rule to send events to a Lambda function ensures real-time processing while maintaining full replay capability, making this the most flexible and operationally efficient solution.


NEW QUESTION # 286
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