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Amazon SOA-C03 Exam Syllabus Topics:

Topic	Details
Topic 1	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 2	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 3	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 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	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.

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Amazon AWS Certified CloudOps Engineer - Associate Sample Questions (Q183-Q188):

NEW QUESTION # 183
A company manages a set of accounts on AWS by using AWS Organizations. The company's security team wants to use a native AWS service to regularly scan all AWS accounts against the Center for Internet Security (CIS) AWS Foundations Benchmark.
What is the MOST operationally efficient way to meet these requirements?

A. Designate a central security account as the Amazon GuardDuty administrator account. Create a script that sends an invitation from the GuardDuty administrator account and accepts the invitation from the member account. Run the script every time a new account is created. Configure GuardDuty to run the CIS AWS Foundations Benchmark scans.
B. Run the CIS AWS Foundations Benchmark across all accounts by using Amazon Inspector.
C. Designate an AWS Security Hub administrator account. Configure new accounts in the organization to automatically become member accounts. Enable CIS AWS Foundations Benchmark scans.
D. Designate a central security account as the AWS Security Hub administrator account. Create a script that sends an invitation from the Security Hub administrator account and accepts the invitation from the member account. Run the script every time a new account is created. Configure Security Hub to run the CIS AWS Foundations Benchmark scans.

Answer: C

Explanation:
AWS Security Hub natively supports running the CIS AWS Foundations Benchmark across multiple accounts in an organization. By designating a central administrator account and enabling automatic account enrollment, all current and future member accounts are automatically included in Security Hub compliance checks. This approach eliminates the need for manual scripting or account invitations, providing the most operationally efficient and scalable solution.

NEW QUESTION # 184
A web application runs on Amazon EC2 instances in an Auto Scaling group behind an Application Load Balancer (ALB). During rolling updates, application initialization and cold starts cause 30- second latency spikes. A CloudOps engineer needs to keep latency flat by pre-initializing capacity. The CloudOps engineer must reuse instances across waves without extending the maintenance window. Which solution will meet these requirements?

A. Double the health-check grace period. Disable connection draining. Use step scaling to absorb spikes during each wave. Move to more and smaller instances.
B. Place a Network Load Balancer in front of the ALB to absorb burst connections. Keep the Auto Scaling group maximum unchanged. Configure zero-surge rolling replacements. Disable instance reuse.
C. Enable predictive scaling with a 7-day forecast on the Auto Scaling group. Overlay a CPU target- tracking policy with a 300-second instance warmup. Add scheduled actions for the rollout window.Maintain zero-surge instance refresh with standard ALB health checks.
D. Configure an Auto Scaling group warm pool with stopped instances that are pre-initialized through user data. Enable instance reuse. Set a target tracking policy with an instance warmup value.
Run instance refresh in batches so the replacements pull from the warm pool.

Answer: D

Explanation:
An Auto Scaling warm pool keeps pre-initialized instances ready before they are placed into service. This is exactly what the scenario needs because cold starts during rolling updates are causing latency spikes. By using stopped instances that have already completed initialization, replacement capacity can join the Auto Scaling group faster and with less runtime warmup impact. Instance reuse also allows instances to return to the warm pool after scale-in or refresh waves, reducing repeated initialization overhead. Target tracking with instance warmup prevents scaling decisions from being distorted while new instances stabilize. Options B, C, and D do not directly pre-initialize application capacity. Predictive scaling forecasts demand, but it does not solve cold-start latency during controlled deployment waves. Warm pools are the purpose-built CloudOps feature for this requirement.

NEW QUESTION # 185
A CloudOps engineer needs to set up alerting and remediation for a web application. The application consists of Amazon EC2 instances that have AWS Systems Manager Agent (SSM Agent) installed. Each EC2 instance runs a custom web server. The EC2 instances run behind a load balancer and write logs locally.
The CloudOps engineer must implement a solution that restarts the web server software automatically if specific web errors are detected in the logs.
Which combination of steps will meet these requirements? (Select THREE.)

A. Publish alarm findings to Amazon Simple Email Service (Amazon SES). Invoke an AWS Lambda function to restart the web server software.
B. Create an Amazon Simple Notification Service (Amazon SNS) notification that responds to the alarm.Configure the notification to invoke an AWS Systems Manager Automation runbook to restart the web server software.
C. Create an Amazon CloudWatch metric filter for the web logs. Configure an alarm for the specific errors.
D. Install the Amazon CloudWatch agent on the EC2 instances.
E. Create an AWS CloudTrail metric filter for the web logs. Configure an alarm for the specific errors.
F. Create an Amazon EventBridge rule that responds to the alarm. Configure the rule to invoke an AWS Systems Manager Automation runbook to restart the web server software.

Answer: C,D,F

Explanation:
Per the AWS Cloud Operations, Monitoring, and Automation documentation, the correct workflow for automated operational remediation is:
Amazon CloudWatch Agent is installed on each EC2 instance (Option A) to collect local log data and push it to Amazon CloudWatch Logs.
A CloudWatch Metric Filter (Option C) is then defined to identify specific error strings or patterns within those logs (e.g., "HTTP 5xx" or "Service Unavailable"). When such an event occurs, CloudWatch Alarms are triggered.
Upon alarm activation, Amazon EventBridge rules (Option E) are configured to respond automatically by invoking an AWS Systems Manager Automation runbook, which executes an action to restart the web server process on the affected instance via SSM Agent.
This approach aligns directly with AWS's recommended CloudOps remediation pattern, known as event- driven automation, which ensures minimal downtime and eliminates manual intervention.
Options involving CloudTrail (B) or SES notifications (D) are incorrect because they are unrelated to log- based application monitoring and automated remediation workflows.
Reference: AWS Cloud Operations & Systems Manager Guide - Section: Automated Remediation using CloudWatch, EventBridge, and Systems Manager Automation

NEW QUESTION # 186
A global company runs a critical primary workload in the us-east-1 Region. The company wants to ensure business continuity with minimal downtime in case of a workload failure. The company wants to replicate the workload to a second AWS Region.
A CloudOps engineer needs a solution that achieves a recovery time objective (RTO) of less than 10 minutes and a zero recovery point objective (RPO) to meet service level agreements.
Which solution will meet these requirements?

A. Implement a custom script to generate a regular backup of the data and store it in an S3 bucket that is in a second Region. Use the backup to launch the application in the second Region in the event of a workload failure.
B. Implement a warm standby architecture that provides regular data replication in a second Region. Configure Amazon Route 53 health checks and automated DNS failover.
C. Implement an active-active architecture that provides real-time data replication across two Regions. Use Amazon Route 53 health checks and a weighted routing policy.
D. Implement a pilot light architecture that provides real-time data replication in the second Region. Configure Amazon Route 53 health checks and automated DNS failover.

Answer: C

Explanation:
According to the AWS Cloud Operations and Disaster Recovery documentation, the active-active multi-Region architecture provides the lowest possible RTO and RPO among all disaster recovery strategies. In this approach, workloads are deployed and actively running in multiple AWS Regions simultaneously. All data is continuously replicated in real time between Regions using fully managed replication services, ensuring zero data loss (zero RPO).
Because both Regions are active and capable of handling requests, failover between them is instantaneous, meeting the RTO of less than 10 minutes. Amazon Route 53 is used with weighted or latency-based routing policies and health checks to automatically route traffic away from an impaired Region to the healthy Region without manual intervention.
In contrast:
Pilot Light Architecture maintains only a minimal copy of the environment in the secondary Region. It requires time to scale up infrastructure during a disaster, resulting in longer RTO and potential data loss (non-zero RPO).
Warm Standby Architecture keeps partially running infrastructure in the secondary Region. Although faster than pilot light, it still requires scaling and synchronization, resulting in higher RTO and RPO compared to active-active.
Backup and Restore (option D) relies on periodic backups and restores data when needed. This approach has the highest RTO and RPO, unsuitable for mission-critical workloads demanding high availability and zero data loss.
Therefore, based on AWS-recommended disaster recovery strategies outlined in the AWS Cloud Operations and Disaster Recovery Guide, the Active-Active Multi-Region architecture (Option C) is the only approach that guarantees RTO <10 minutes and RPO = 0, achieving continuous availability and business continuity across Regions.

NEW QUESTION # 187
A company uses AWS Systems Manager to automate common operational tasks across its AWS resources.
The company wants to automatically collect software inventory of all its Amazon EC2 instances every day.
The solution must store the data in an Amazon S3 bucket for auditing purposes.
Which solution will meet these requirements?

A. Set up Systems Manager Session Manager to connect to EC2 instances. Use Systems Manager Fleet Manager to aggregate inventory results across the environment.
B. Configure Systems Manager Distributor to package inventory collection software. Use Systems Manager Hybrid Activations to scan the inventory every day.
C. Create a Systems Manager association with the AWS-GatherSoftwareInventory document. Schedule the association to run every day on all EC2 instances.
D. Configure Systems Manager Patch Manager to deploy inventory collection agents. Configure Systems Manager Compliance to validate inventory data.

Answer: C

Explanation:
Systems Manager Inventory is configured through State Manager associations that run inventory collection documents such as AWS-GatherSoftwareInventory. AWS documentation states that configuring inventory collection starts by creating a Systems Manager State Manager association, and Systems Manager collects inventory data when the association runs. Inventory data can be synchronized to an Amazon S3 bucket for auditing and reporting. This directly meets the requirement to collect software inventory every day and store the results in S3. Distributor packages and distributes software; it is not the primary inventory collection mechanism. Patch Manager manages patching, not daily software inventory exports. Session Manager and Fleet Manager are useful for access and fleet visibility but do not provide the scheduled inventory-to-S3 workflow. Therefore, a scheduled Systems Manager association is correct.

NEW QUESTION # 188
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