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Amazon SOA-C03 Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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 2
  • 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 3
  • 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 4
  • 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 5
  • 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.

Amazon AWS Certified CloudOps Engineer - Associate Sample Questions (Q32-Q37):

NEW QUESTION # 32
A SysOps administrator is configuring an Auto Scaling group of Amazon EC2 instances for an application.
The average CPU utilization of the instances in the Auto Scaling group must remain at approximately 40% when the load on the application changes.
Which solution will meet this requirement in the MOST operationally efficient manner?

Answer: C

Explanation:
Comprehensive and Detailed Explanation From Exact Extract of AWS CloudOps Documents:
The correct answer is D because target tracking scaling policies are designed to automatically maintain a specific metric at a desired target value with the least administrative effort. AWS CloudOps documentation states that target tracking works like a thermostat, continuously adjusting capacity to keep the selected metric close to the defined target.
By specifying a target value of 40% average CPU utilization, the Auto Scaling group automatically scales out or in based on real-time demand without requiring manual thresholds, multiple alarms, or predefined scaling steps. This approach is fully managed by AWS and is the most operationally efficient option.
Option A is incorrect because scheduled scaling is based on predictable traffic patterns and cannot respond dynamically to real-time load changes. Option B is incorrect because simple scaling reacts only after an alarm is triggered and does not continuously maintain a target value. Option C is less efficient because step scaling requires additional configuration and tuning of scaling steps.
AWS CloudOps best practices clearly recommend target tracking scaling policies for maintaining steady performance metrics with minimal operational overhead.
References:
Amazon EC2 Auto Scaling User Guide - Target Tracking Policies
AWS SysOps Administrator Study Guide - Auto Scaling and Automation
AWS Well-Architected Framework - Operational Excellence and Performance Efficiency


NEW QUESTION # 33
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: B

Explanation:
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.


NEW QUESTION # 34
A CloudOps engineer must ensure that all of a company's current and future Amazon S3 buckets have logging enabled. If an S3 bucket does not have logging enabled, an automated process must enable logging for the S3 bucket.
Which solution will meet these requirements?

Answer: B

Explanation:
The AWS Config managed rule s3-bucket-logging-enabled continuously evaluates whether S3 buckets have logging enabled. By attaching an automatic remediation action using the AWS- ConfigureS3BucketLogging Systems Manager Automation runbook, AWS can automatically enable logging for any noncompliant bucket. This provides a fully automated and scalable solution that applies to both existing and newly created buckets with minimal operational effort.


NEW QUESTION # 35
A company has deployed Amazon EC2 instances from custom Amazon Machine Images (AMIs) in two AWS Regions. The company registered all the instances with AWS Systems Manager.
The company discovers that the operating system on some instances has a significant zero-day exploit. However, the company does not know how many instances are affected.
A CloudOps engineer must implement a solution to deploy operating system patches for the affected EC2 instances.
Which solution will meet this requirement with the LEAST operational overhead?

Answer: A

Explanation:
AWS Systems Manager Patch Manager is designed specifically to scan managed instances for missing patches and apply them with minimal operational effort. By defining a patch baseline and running a Patch Manager scan, you can automatically identify which instances are vulnerable, then use Patch Now (per Region) to patch only the affected instances. This leverages existing SSM integration, avoids extra services like AWS Config or manual AMI/instance management, and provides the lowest operational overhead.


NEW QUESTION # 36
A company has a VPC that contains a public subnet and a private subnet. The company deploys an Amazon EC2 instance that uses an Amazon Linux Amazon Machine Image (AMI) and has the AWS Systems Manager Agent (SSM Agent) installed in the private subnet. The EC2 instance is in a security group that allows only outbound traffic.
A CloudOps engineer needs to give a group of privileged administrators the ability to connect to the instance through SSH without exposing the instance to the internet.
Which solution will meet this requirement?

Answer: C

Explanation:
EC2 Instance Connect Endpoint (EIC Endpoint) enables SSH to instances in private subnets without public IPs and without needing to traverse the public internet. CloudOps guidance explains that you deploy the endpoint in the same VPC/subnet as the targets, then allow inbound SSH on the instance security group from the endpoint's security group. Access is governed by IAM--administrators must have Instance Connect permissions; while the example uses a broad policy, the key mechanism is EIC in the private subnet plus SG rules scoped to the endpoint.
Systems Manager Session Manager can provide shell access without SSH, but the requirement explicitly states "connect through SSH," making EIC the purpose-built solution. Options B and D misuse Systems Manager for SSH and propose unnecessary SG changes or incorrect endpoint placement; Option C places the endpoint in a public subnet, which is not required for private SSH access. Therefore, creating an EC2 Instance Connect endpoint in the private subnet and updating SGs accordingly meets the requirement while keeping the instance non-internet- exposed.


NEW QUESTION # 37
......

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