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Amazon SOA-C03 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Monitoring, Logging, and Remediation	20%	- Automated remediation and operational workflows - Metrics and monitoring using Amazon CloudWatch - Centralized logging and log analysis with AWS services
Topic 2: Security and Compliance	18%	- Identity and access management (IAM) - Security monitoring and auditing - Data protection and encryption
Topic 3: Deployment, Provisioning, and Automation	18%	- Configuration management and orchestration tools - Automated deployment pipelines - Infrastructure as Code using AWS CloudFormation
Topic 4: Reliability and Business Continuity	16%	- Data replication and recovery mechanisms - High availability and fault tolerance design - Backup and disaster recovery strategies
Topic 5: Cost and Performance Optimization	28%	- Right-sizing and capacity planning - Resource performance tuning - Cost monitoring and optimization strategies

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Amazon AWS Certified CloudOps Engineer - Associate SOA-C03 Prüfungsfragen mit Lösungen (Q229-Q234):

229. Frage
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 on the existing database to restore the database to a specified point in time, 2 hours in the past.
B. 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.
C. 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.
D. Use the Aurora Backtrack feature to rewind the database to a specified time, 2 hours in the past.

Antwort: C

Begründung:
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

230. Frage
A company hosts an encrypted Amazon S3 bucket in the ap-southeast-2 Region. Users from the eu- west-2 Region access the S3 bucket through the internet. The users from eu-west-2 need faster transfers to and from the S3 bucket for large files.
Which solution will meet these requirements?

A. Configure and activate S3 Transfer Acceleration on the S3 bucket. Use the new S3 acceleration endpoint's domain name for access.
B. Create an S3 access point in eu-west-2 to use as the destination for S3 replication from ap- southeast-2. Ensure all users switch to the new S3 access point.
C. Create an Amazon Route 53 hosted zone with a geolocation routing policy. Choose the Alias to S3 website endpoint option. Specify the S3 bucket that is in ap-southeast-2 as the source bucket.
D. Create a new S3 bucket in eu-west-2. Copy all contents from ap-southeast-2 to the new bucket in eu-west-2. Create an S3 access point, and associate it with both buckets. Ensure users use the new S3 access point.

Antwort: A

Begründung:
For users in eu-west-2 transferring large files to/from an S3 bucket in ap-southeast-2 over the public internet, S3 Transfer Acceleration is designed to improve performance by leveraging the AWS global edge network. With Transfer Acceleration enabled, users access the bucket via the acceleration endpoint. Requests enter AWS at the nearest edge location and then traverse the AWS backbone network to the bucket's Region, which typically reduces latency variability and can improve throughput for long-distance transfers.

231. Frage
A CloudOps engineer creates an AWS CloudFormation template to define an application stack that can be deployed in multiple AWS Regions. The CloudOps engineer also creates an Amazon CloudWatch dashboard by using the AWS Management Console. Each deployment of the application requires its own CloudWatch dashboard.
How can the CloudOps engineer automate the creation of the CloudWatch dashboard each time the application is deployed?

A. Update the CloudFormation template to define an AWS::CloudWatch::Dashboard resource. Specify the name of the existing dashboard in the DashboardName property.
B. Update the CloudFormation template to define an AWS::CloudWatch::Dashboard resource. Use the intrinsic Ref function to reference the ID of the existing CloudWatch dashboard.
C. Export the existing CloudWatch dashboard as JSON. Update the CloudFormation template to define an AWS::CloudWatch::Dashboard resource. Include the exported JSON in the resource's DashboardBody property.
D. Create a script by using the AWS CLI to run the aws cloudformation put-dashboard command with the name of the dashboard. Run the command each time a new CloudFormation stack is created.

Antwort: C

Begründung:
According to CloudOps automation and monitoring best practices, CloudWatch dashboards should be provisioned as infrastructure-as-code (IaC) resources using AWS CloudFormation to ensure consistency, repeatability, and version control. AWS CloudFormation supports the AWS::CloudWatch::Dashboard resource, where the DashboardBody property accepts a JSON object describing widgets, metrics, and layout.
By exporting the existing dashboard configuration as JSON and embedding it into the CloudFormation template, every deployment of the application automatically creates its corresponding dashboard. This method aligns with the CloudOps requirement for automated deployment and operational visibility within the same stack lifecycle.
AWS documentation explicitly states:
"Use the AWS::CloudWatch::Dashboard resource to create a dashboard from your template. You can include the same JSON you use to define a dashboard in the console." Option A requires manual execution. Options C and D incorrectly reference or reuse existing dashboards, failing to produce unique, deployment-specific dashboards.
References (AWS CloudOps Documents / Study Guide):
* AWS Certified CloudOps Engineer - Associate (SOA-C03) Exam Guide - Domain 1: Monitoring and Logging
* AWS CloudFormation User Guide - Resource Type: AWS::CloudWatch::Dashboard
* AWS Well-Architected Framework - Operational Excellence Pillar
* Amazon CloudWatch - Automating Dashboards with Infrastructure as Code

232. Frage
A company runs an application on a fleet of Amazon EC2 Windows instances in a Multi-AZ deployment. The company needs a solution that will give the instances access to shared files.
The solution must be highly available, must use native Windows storage capabilities, and must maximize consistency for all file requests.
Which solution will meet these requirements?

A. Grant the instances access to a shared Amazon S3 bucket. Use Windows Task Scheduler to synchronize the contents of the S3 bucket locally to each instance periodically.
B. Create a new Amazon EBS Multi-Attach volume. Attach the EBS volume as an additional drive to each instance.
C. Create an Amazon EFS file system that uses the EFS Standard storage class. Mount the file system to the instances by using the file system's DNS name and the EFS mount helper.
D. Create an Amazon FSx for Windows File Server Multi-AZ file system. Map file shares on the instances by using the file system's DNS name.

Antwort: D

Begründung:
Amazon FSx for Windows File Server provides fully managed native Windows file shares over SMB. A Multi-AZ file system provides high availability, and mapping the shares by using the file system DNS name gives the Windows EC2 instances consistent access to shared files across Availability Zones.

233. Frage
A company uses AWS Systems Manager to automate tasks across AWS accounts. The company uses monitoring tools to detect issues. The company creates a Systems Manager Automation runbook that runs an AWS Lambda function to remediate the issues.
Initially, the company runs the runbook manually. Now, the company wants to automate running the runbook whenever the monitoring tools detect issues.
Which solution will meet this requirement?

A. Configure AWS Config to assess the resources and publish configuration changes to Amazon EventBridge. Create a rule to invoke the runbook in response to configuration change events.
B. Configure the monitoring tools to send findings to an Amazon SNS topic. Subscribe the runbook to the SNS topic. Invoke the runbook when a message is received.
C. Configure the monitoring tools to write findings to Amazon CloudWatch Logs. Create a CloudWatch Logs subscription filter that invokes the runbook when new log entries are detected.
D. Configure the monitoring tools to publish findings to Amazon EventBridge. Create an EventBridge rule that invokes the runbook in response to events from the monitoring tools.

Antwort: D

Begründung:
Amazon EventBridge can receive events from monitoring tools and use rules to start a Systems Manager Automation runbook automatically when matching issue events are detected. This creates an event-driven remediation workflow without requiring manual runbook execution.

234. Frage
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