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Amazon SOA-C03 Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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 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
  • 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 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
  • 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.

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Amazon AWS Certified CloudOps Engineer - Associate Sample Questions (Q335-Q340):

NEW QUESTION # 335
A company runs a business application on more than 300 Linux-based instances. Each instance has the AWS Systems Manager Agent (SSM Agent) installed. The company expects the number of instances to grow in the future. All business application instances have the same user-defined tag.
A CloudOps engineer wants to run a command on all the business application instances to download and install a package from a private repository. To avoid overwhelming the repository, the CloudOps engineer wants to ensure that no more than 30 downloads occur at one time.
Which solution will meet this requirement in the MOST operationally efficient way?

Answer: A

Explanation:
AWS Systems Manager Run Command includes a built-in rate control feature that allows administrators to control the maximum number of concurrent executions across target instances. This directly addresses the requirement to limit downloads to 30 at a time without custom orchestration or additional services.
By targeting instances using tags, the solution automatically scales as new instances are added, which aligns with future growth expectations. Rate control ensures controlled concurrency and protects the private repository from overload.
Option A is manual and does not scale operationally. Option B introduces unnecessary complexity with Lambda and concurrency management that does not map cleanly to instance execution concurrency. Option D significantly increases architectural complexity without added value.
Run Command with rate control is the simplest, most native, and most scalable solution.


NEW QUESTION # 336
An application uses an Amazon Aurora MySQL DB cluster that includes one Aurora Replica. The application' s read performance degrades when there are more than 200 user connections. The number of user connections is approximately 180 on a consistent basis. Occasionally, the number of user connections increases rapidly to more than 200.
A CloudOps engineer must implement a solution that will scale the application automatically as user demand increases or decreases.
Which solution will meet these requirements?

Answer: D

Explanation:
Aurora Auto Scaling can automatically add or remove Aurora Replicas based on target metrics, including average connections across Aurora Replicas. AWS documentation lists "Average connections of Aurora Replicas" as a target metric when adding an auto scaling policy to an Aurora DB cluster. Because performance degrades above 200 connections and baseline usage is around 180, setting a target near 195 allows scaling to begin before the connection count crosses the problem threshold. Option A is vertical scaling and does not automatically respond to fluctuating demand. Option B is not how Aurora switches between provisioned and serverless modes during spikes. Option C is unnecessary and does not address read scaling with replicas. Therefore, an Aurora auto scaling policy using the database connections metric is correct.


NEW QUESTION # 337
A company uses memory-optimized Amazon EC2 instances behind a Network Load Balancer (NLB) to run an application. The company launched the EC2 instances from an AWS-provided Red Hat Enterprise Linux (RHEL) AMI.
A CloudOps engineer must monitor RAM utilization in 5-minute intervals. The CloudOps engineer must ensure that the EC2 instances scale in and out appropriately based on incoming load.
Which solution will meet these requirements?

Answer: D

Explanation:
EC2 does not publish RAM utilization as a native CloudWatch metric by default. Memory metrics such as mem_used_percent are typically collected by the CloudWatch Agent, which runs on the instance and publishes custom metrics to CloudWatch. Because the requirement is RAM utilization at 5-minute intervals, the CloudWatch Agent can be configured to emit metrics at that cadence (or faster).
"Detailed monitoring" for EC2 mainly affects EC2-provided metrics (like CPU) by changing the period from
5 minutes (basic) to 1 minute (detailed). It does not magically provide memory utilization. Therefore, the key requirement is installing/configuring the CloudWatch Agent and ensuring it has permissions to publish metrics (via an IAM role attached to the instance / instance profile).
Option C correctly combines: (1) basic monitoring (fine for the ask), (2) CloudWatch Agent to publish mem_used_percent, (3) IAM role permissions to allow publishing, and (4) Auto Scaling policy that scales based on the memory metric.
Option B incorrectly implies detailed monitoring provides mem_used_percent (it does not). Option D assumes a "standard" memory metric exists without the agent, which is not correct. Option A references mem_active, which is not the typical metric name exposed by CloudWatch Agent's standard memory measurements for scaling policies, and also omits the IAM role requirement needed for publishing custom metrics.
Thus, C is the AWS-correct path for memory-based scaling using CloudWatch custom metrics.


NEW QUESTION # 338
A CloudOps engineer is maintaining a web application using an Amazon CloudFront web distribution, an Application Load Balancer (ALB), Amazon RDS, and Amazon EC2 in a VPC. All services have logging enabled. The CloudOps engineer needs to investigate HTTP Layer 7 status codes from the web application.
Which log sources contain the status codes? (Choose two.)

Answer: A,D

Explanation:
ALB access logs include detailed HTTP Layer 7 information such as request paths, user agents, and status codes returned by the application.
CloudFront access logs record all viewer requests served through CloudFront distributions, including HTTP status codes (2xx, 4xx, 5xx).
These two log sources together provide complete visibility into HTTP status code behavior from both the edge (CloudFront) and origin (ALB) layers, allowing the CloudOps engineer to investigate web application performance and errors effectively.


NEW QUESTION # 339
A company is expanding globally and needs to back up data on Amazon EBS volumes to a different AWS Region. Most of the EBS volumes that store the data are encrypted, but some of the EBS volumes are unencrypted. The company needs the backup data from all the EBS volumes to be encrypted. Which solution will meet these requirements with the LEAST management overhead?

Answer: A

Explanation:
Amazon Data Lifecycle Manager can automate EBS snapshot creation and cross-Region copy operations. The cross-Region snapshot copies can be encrypted with an AWS KMS key, ensuring that backups from both encrypted and unencrypted source volumes are stored encrypted in the destination Region with minimal administrative overhead.


NEW QUESTION # 340
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