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Amazon SOA-C03 Exam Syllabus Topics:

Topic	Details
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	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	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 5	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.

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Amazon AWS Certified CloudOps Engineer - Associate Sample Questions (Q160-Q165):

NEW QUESTION # 160
A company uses AWS Organizations to manage its AWS accounts. A CloudOps engineer must create a backup strategy for all Amazon EC2 instances across all the company's AWS accounts.
Which solution will meet these requirements in the MOST operationally efficient way?

A. Use a service control policy (SCP) to run EC2 instance snapshots on a scheduled basis in each account.
B. Create an AWS CloudFormation stack set in the management account to add an AutoBackup=True tag to every EC2 instance.
C. Use AWS Backup in the management account to deploy policies for all accounts and resources.
D. Deploy an AWS Lambda function to each account to run EC2 instance snapshots on a scheduled basis.

Answer: C

NEW QUESTION # 161
A company runs an application on Amazon EC2 that connects to an Amazon Aurora PostgreSQL database
. A developer accidentally drops a table from the database, causing application errors. Two hours later, a CloudOps engineer needs to recover the data and make the application functional again.
Which solution will meet this requirement?

A. Perform a point-in-time recovery and create a new database to restore the database to a specified point in time, 2 hours in the past. Reconfigure the application to use a new database endpoint.
B. Perform a point-in-time recovery on the existing database to restore the database to a specified point in time, 2 hours in the past.
C. Use the Aurora Backtrack feature to rewind the database to a specified time, 2 hours in the past.
D. Create a new Aurora cluster. Choose the Restore data from S3 bucket option. Choose log files up to the failure time 2 hours in the past.

Answer: A

Explanation:
In the AWS Cloud Operations and Aurora documentation, when data loss occurs due to human error such as dropped tables, Point-in-Time Recovery (PITR) is the recommended method for restoration. PITR creates a new Aurora cluster restored to a specific time before the failure.
The restored cluster has a new endpoint that must be reconfigured in the application to resume normal operations. AWS does not support performing PITR directly on an existing production database because that would overwrite current data.
Aurora Backtrack (Option A) applies only to Aurora MySQL, not PostgreSQL. Option B is incorrect because PITR cannot be executed in place. Option D refers to an import process from S3, which is unrelated to time-based recovery.
Hence, Option C is correct and follows the AWS CloudOps standard recovery pattern for PostgreSQL workloads.
Reference: AWS Cloud Operations & Aurora Guide - Section: Performing Point-in-Time Recovery for Aurora PostgreSQL Clusters

NEW QUESTION # 162
A developer enables versioning on an Amazon S3 bucket. When the developer attempts to perform a write operation on the bucket, the developer encounters an HTTP 404 NoSuchKey error.
A CloudOps engineer must resolve this issue.
Which solution will meet this requirement?

A. Enable S3 Transfer Acceleration on the bucket.
B. Wait at least 15 minutes after enabling versioning, and then perform the write operation.
C. Disable versioning on the S3 bucket and retry the write operation.
D. Modify the bucket policy to allow write operations on versioned objects.

Answer: B

Explanation:
Changes to S3 bucket versioning are eventually consistent across the S3 control plane.
Immediately after enabling versioning, some operations can temporarily fail until the configuration fully propagates. Waiting for propagation and then retrying the write operation resolves the issue.

NEW QUESTION # 163
A company runs applications on Amazon EC2 instances. The company wants to ensure that SSH ports on the EC2 instances are never open. The company has enabled AWS Config and has set up the restricted-ssh AWS managed rule.
A CloudOps engineer must implement a solution to remediate SSH port access for noncompliant security groups.
What should the engineer do to meet this requirement with the MOST operational efficiency?

A. Configure the AWS Config rule to identify noncompliant security groups. Configure the rule to use the AWS-PublishSNSNotification AWS Systems Manager Automation runbook to send notifications about noncompliant resources.
B. Make an AWS Config API call to search for noncompliant security groups. Disable SSH access for noncompliant security groups by using a Deny rule.
C. Configure the AWS Config rule to identify noncompliant security groups. Manually update each noncompliant security group to remove the Allow rule.
D. Configure the AWS Config rule to identify noncompliant security groups. Configure the rule to use the AWS-DisableIncomingSSHOnPort22 AWS Systems Manager Automation runbook to remediate noncompliant resources.

Answer: D

Explanation:
The AWS Cloud Operations and Governance documentation specifies that AWS Config can be paired with AWS Systems Manager Automation runbooks for automatic remediation of noncompliant resources.
For SSH restrictions, the restricted-ssh managed rule detects any security group allowing inbound traffic on port 22. To automatically remediate these findings, AWS provides the AWS- DisableIncomingSSHOnPort22 runbook. This runbook programmatically removes inbound rules that allow port 22 traffic from affected security groups.
This approach achieves continuous compliance with minimal human intervention. By contrast, sending notifications (Option A) does not enforce remediation, API-based scripts (Option C) add operational overhead, and manual remediation (Option D) violates automation best practices.
Therefore, the most efficient CloudOps solution is Option B, using AWS Config with the AWS- DisableIncomingSSHOnPort22 automation runbook for automatic, scalable enforcement.
Reference: AWS Cloud Operations & Governance Guide - Automated Security Remediation Using Config Managed Rules and Systems Manager Runbooks

NEW QUESTION # 164
A company hosts a static website in an Amazon S3 bucket, accessed globally via Amazon CloudFront. The Cache-Control max-age header is set to 1 hour, and Maximum TTL is set to 5 minutes. The CloudOps engineer observes that CloudFront is not caching objects for the expected duration.
What is the reason for this issue?

A. Cache invalidation is missing in the CloudFront configuration.
B. The Expires header has been set to 3 hours.
C. Cached assets are not expiring in the edge location.
D. Cache-duration settings conflict with each other.

Answer: D

Explanation:
As per the AWS Cloud Operations and Content Delivery documentation, CloudFront determines cache behavior by evaluating both origin headers (e.g., Cache-Control and Expires) and distribution-level TTL settings.
When Cache-Control max-age conflicts with the Maximum TTL configured in CloudFront, the shorter TTL value takes precedence. This results in CloudFront caching content for only 5 minutes instead of 1 hour, despite the origin headers suggesting a longer duration.
AWS documentation explicitly states: "When both origin cache headers and CloudFront TTL settings are defined, CloudFront uses the most restrictive caching period." This mismatch causes the perceived performance drop, as CloudFront frequently revalidates content.
Therefore, Option D is correct - cache-duration settings conflict with each other, leading to unexpected caching behavior.

NEW QUESTION # 165
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