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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
  • 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
  • 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
  • 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 5
  • 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.

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Amazon AWS Certified CloudOps Engineer - Associate Sample Questions (Q261-Q266):

NEW QUESTION # 261
A company runs an application on Amazon EC2 instances behind an Elastic Load Balancer (ELB) in an Auto Scaling group. The application performs well except during a 2-hour period of daily peak traffic, when performance slows.
A CloudOps engineer must resolve this issue with minimal operational effort.
What should the engineer do?

Answer: D

Explanation:
According to the AWS Cloud Operations and Compute documentation, when workloads exhibit predictable traffic patterns, the best practice is to use scheduled scaling for Amazon EC2 Auto Scaling groups.
With scheduled scaling, administrators can predefine the desired capacity of an Auto Scaling group to increase before anticipated demand (in this case, before the 2-hour peak) and scale back down afterward. This ensures that sufficient compute capacity is provisioned proactively, avoiding performance degradation while maintaining cost efficiency.
AWS notes: "Scheduled actions enable scaling your Auto Scaling group at predictable times, allowing you to pre-warm instances before demand spikes." Manual scaling (Option D) adds operational overhead. Adjusting launch templates (Option B) doesn't affect scaling behavior, and permanently increasing minimum capacity (Option A) wastes resources outside of peak hours.
Thus, Option C provides an automated, cost-effective, and operationally efficient CloudOps solution.
Reference: AWS Cloud Operations & Compute Optimization Guide - Using Scheduled Scaling for Predictable Workload Patterns


NEW QUESTION # 262
An environment consists of 100 Amazon EC2 Windows instances. The Amazon CloudWatch agent is deployed and running on all EC2 instances with a baseline configuration file to capture log files. There is a new requirement to capture the DHCP log files that exist on 50 of the instances.
What is the MOST operationally efficient way to meet this new requirement?

Answer: A

Explanation:
The most operationally efficient approach is to avoid manual reconfiguration or login to each instance. By using AWS Systems Manager Run Command with the append-config option, you can centrally deploy and apply an additional CloudWatch agent configuration file to selected instances. This method scales easily, ensures consistency, and requires no manual intervention on each EC2 instance.


NEW QUESTION # 263
A SysOps administrator needs to encrypt an existing Amazon Elastic File System (Amazon EFS) file system by using an existing AWS KMS customer managed key.
Which solution will meet these requirements?

Answer: A

Explanation:
Comprehensive and Detailed Explanation From Exact Extract of AWS CloudOps Documents:
Amazon EFS encryption at rest is a file system creation attribute; an unencrypted EFS file system cannot be
"turned on" for encryption in place. Therefore, meeting the requirement ("encrypt an existing EFS using an existing KMS customer managed key") requires creating a new encrypted file system and migrating data.
Option A is the most operationally efficient because EFS replication is a managed mechanism that continuously copies data and metadata from a source file system to a destination file system. By specifying the existing KMS customer managed key for the destination, the new file system is encrypted at rest under the required key. After replication has caught up, the administrator can perform a controlled cutover (failover) so applications mount the encrypted destination instead of the original source. This reduces manual copying effort, supports ongoing synchronization during migration, and simplifies the cutover window.
Option B is not possible because encryption-at-rest settings for EFS cannot be modified after creation. Option C is irrelevant because TLS certificates relate to encryption in transit and are not configured as part of EFS replication in the manner described. Option D can work functionally, but it requires building and operating a copy workflow, which is more manual and error-prone than managed replication.
References:
Amazon EFS User Guide - Encryption at rest behavior and limitations
Amazon EFS User Guide - Replication concepts and destination encryption AWS SysOps Administrator Study Guide - Data protection and migration patterns


NEW QUESTION # 264
A company runs a critical application by using Amazon DynamoDB. During a recent deployment, the application accidentally wrote incorrect data to a DynamoDB table. The table has point-in-time recovery (PITR) enabled with continuous backups. DynamoDB Streams is enabled on the table.
The company's recovery point objective (RPO) is 2 minutes.
A CloudOps engineer must restore the table to its state from 2 minutes before the corruption occurred.
Which solution will meet these requirements?

Answer: A

Explanation:
DynamoDB point-in-time recovery continuously backs up table data and can restore the table to a selected second within the recovery window. AWS documentation states that a PITR restore restores the data to a new table, not in place on the existing table. Therefore, the correct process is to restore the table to the timestamp two minutes before the corruption and then update the application to use the newly restored table. Option A is wrong because PITR does not update the existing table in place. Option C uses an on-demand snapshot, which might not meet the 2- minute RPO. Option D is unsafe because DynamoDB Streams are not a managed reverse- transaction rollback mechanism. PITR to a new table is the reliable recovery method.


NEW QUESTION # 265
A company hosts an FTP server on Amazon EC2 instances. In the company's AWS environment, AWS Security Hub sends findings for the EC2 instances to Amazon EventBridge because the FTP port has become publicly exposed in the security groups that are attached to the instances.
A CloudOps engineer wants an automated solution to remediate the Security Hub finding and any similar exposed port findings. The CloudOps engineer wants to use an event-driven approach.
Which solution will meet these requirements?

Answer: C

Explanation:
Security Hub already sends findings to Amazon EventBridge, so the most efficient event-driven remediation is to have EventBridge trigger a Lambda function whenever a relevant finding (publicly exposed port) occurs. The Lambda function can parse the finding, identify the affected security group and port, and remove the 0.0.0.0/0 (or ::/0) rule that exposes the port. This directly fixes the root cause (the security group rule) and can be reused for similar exposed-port findings without manual intervention or periodic jobs.


NEW QUESTION # 266
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