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Amazon SOA-C03 Exam Overview:

Certification Vendor:	AWS
Exam Name:	AWS Certified CloudOps Engineer - Associate
Exam Number:	SOA-C03
Exam Duration:	130 minutes
Real Exam Qty:	65 (50 scored, 15 unscored)
Exam Price:	USD 150
Available Languages:	English, Korean, Simplified Chinese, Japanese
Passing Score:	720 (scaled score, out of 100-1000)
Related Certifications:	AWS Certified CloudOps Engineer - Associate
Exam Format:	Multiple choice, Multiple response
Certificate Validity Period:	3 years
Sample Questions:	Amazon SOA-C03 Sample Questions
Exam Way:	Online (proctored) or at a testing center (Pearson VUE or PSI)
Pre Condition:	Recommended: 1 year of experience with AWS deployment, management, troubleshooting, networking, and security. Experience in an operations role such as system administrator is helpful.
Official Syllabus URL:	https://docs.aws.amazon.com/aws-certification/latest/sysops-administrator-associate-03/sysops-administrator-associate-03.html

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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	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 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	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 5	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.

Amazon AWS Certified CloudOps Engineer - Associate Sample Questions (Q83-Q88):

NEW QUESTION # 83
A company hosts a web application on Amazon EC2 instances behind an Application Load Balancer. The instances are in an Amazon EC2 Auto Scaling group. The application is accessed with a public URL.
A CloudOps engineer needs to implement a monitoring solution that checks the availability of the application and follows the same routes and actions as a customer. The CloudOps engineer must receive a notification if less than 95% of the monitoring runs find no errors.
Which solution will meet these requirements?

A. Create a single AWS Lambda function to check whether the endpoints are available for each customer path. Schedule the Lambda function by using Amazon EventBridge. Configure the Lambda function to publish a message to an Amazon SNS topic when an endpoint returns an error.
B. Create an AWS Lambda function for each customer path to check whether that specific endpoint is available. Schedule the Lambda functions by using Amazon EventBridge. Configure each Lambda function to publish a custom metric to Amazon CloudWatch for the endpoint status.
Create CloudWatch alarms based on each custom metric to publish a message to an Amazon SNS topic when an alarm is in the ALARM state.
C. Create Amazon Route 53 health checks that monitor the availability of the endpoint. Create Amazon CloudWatch alarms that publish a message to an Amazon SNS topic when the HealthCheckPercentageHealthy metric is less than 95%.
D. Create an Amazon CloudWatch Synthetics canary with a script that follows customer routes.
Schedule the canary to run on a recurring schedule. Create a CloudWatch alarm that publishes a message to an Amazon SNS topic when the SuccessPercent metric is less than 95%.

Answer: D

Explanation:
Amazon CloudWatch Synthetics canaries can simulate customer behavior by following defined routes and actions against the public application. The canary publishes the SuccessPercent metric to CloudWatch, allowing an alarm to trigger when successful runs fall below 95% and send a notification through Amazon SNS.

NEW QUESTION # 84
A company uses Amazon S3 for object storage. A CloudOps engineer notices that the company's Amazon S3 usage has doubled every month across all the company's S3 buckets for the previous year. The company stores and consumes data in the same AWS Region where the data is generated. The company never accesses data that is older than 30 days. The CloudOps engineer needs to optimize Amazon S3 costs for the company.
Which solution will meet this requirement with the LEAST operational overhead?

A. Modify the object creation lifecycle to check for and delete any objects that were created more than 30 days ago.
B. Use S3 Storage Lens to identify objects that are older than 30 days across all S3 buckets.
C. Configure an S3 Lifecycle policy to expire any object that was created more than 30 days ago.
D. Create an AWS Lambda function to delete data that is older than 30 days. Use an Amazon EventBridge cron expression to invoke the function monthly.

Answer: C

Explanation:
S3 Lifecycle policies are the correct managed mechanism for automatically expiring objects after a defined age. Because the company never accesses data older than 30 days, an expiration rule can delete objects after
30 days and reduce storage growth without custom code. This has the least operational overhead because S3 performs the expiration automatically. Option A introduces Lambda code, scheduling, permissions, retries, and edge-case handling, which is unnecessary. S3 Storage Lens can identify usage trends and aging objects, but it does not itself delete objects or enforce retention. Option C is vague and not an AWS-managed configuration as written. For CloudOps cost optimization, lifecycle expiration is the standard approach when objects have a predictable retention period and no long-term access requirement.

NEW QUESTION # 85
A CloudOps engineer is examining the following AWS CloudFormation template:
AWSTemplateFormatVersion: '2010-09-09'
Description: 'Creates an EC2 Instance'
Resources:
EC2Instance:
Type: AWS::EC2::Instance
Properties:
ImageId: ami-79fd7eee
InstanceType: m5n.large
SubnetId: subnet-1abc3d3fg
PrivateDnsName: ip-10-24-34-0.ec2.internal
Tags:
- Key: Name
Value: !Sub "${AWS::StackName} Instance"
Why will the stack creation fail?

A. The PrivateDnsName cannot be set from a CloudFormation template.
B. The Parameters section of the CloudFormation template was omitted.
C. The VPC was not specified in the CloudFormation template.
D. The Outputs section of the CloudFormation template was omitted.

Answer: A

Explanation:
The PrivateDnsName attribute of an EC2 instance is automatically assigned by AWS at launch time and is a read-only property. CloudFormation does not allow users to specify this value manually.
Including PrivateDnsName in the EC2 instance properties causes validation to fail during stack creation.
Outputs and Parameters sections are optional, and the VPC is implicitly defined through the subnet ID.
Therefore, attempting to set PrivateDnsName results in stack creation failure.

NEW QUESTION # 86
A company has created an AWS Site-to-Site VPN connection with logging enabled between the company's VPC and an on-premises data center. The company's finance team has begun to experience intermittent connectivity issues when the team tries to access an application that runs in the VPC from the data center.
The company needs to implement an automated monitoring solution to receive immediate notifications when a VPN tunnel becomes unavailable.
Which combination of steps will meet this requirement? (Choose two.)

A. Use VPN tunnel metrics to create an Amazon CloudWatch alarm. Use Amazon SNS to send a notification when a VPN tunnel state changes.
B. Use Amazon CloudWatch Logs to collect and store VPN collection logs. Convert the logs into readable metrics. Create a metric filter to filter the logs for VPN tunnel metrics.
C. Use AWS Systems Manager to manage the VPN tunnels and to monitor VPN tunnels for any connection errors.
D. Use Amazon EventBridge rules to invoke an AWS Lambda function. Configure the Lambda function to use Amazon SNS to send a notification when a VPN tunnel connection error is detected.
E. Use AWS CloudTrail to collect VPN logs. Store the logs in an Amazon S3 bucket. Use Amazon Athena to query the data to find site-to-site VPN tunnel connection errors. Store the error files in a second S3 bucket.

Answer: A,B

Explanation:
Amazon CloudWatch provides near-real-time monitoring for AWS Site-to-Site VPN tunnels, including tunnel state information. Because VPN logging is enabled, CloudWatch Logs can be used to capture tunnel activity, while the native TunnelState metric can drive a CloudWatch alarm. The alarm can publish to Amazon SNS so the operations team receives an immediate notification when a VPN tunnel becomes unavailable.

NEW QUESTION # 87
A company stores critical information in an Amazon RDS for PostgreSQL database. The company notices degraded performance, high CPU utilization, increased query latency, and connection timeouts during peak shopping hours. The company also identifies surges in user connections during peak hours. The connection surges affect the read performance of the database.
The company wants to resolve the database performance issues.
Which combination of steps will meet this requirement? (Choose two.)

A. Use Amazon CloudWatch Logs Insights to analyze the database queries and identify performance bottlenecks. Update the queries based on the analysis findings.
B. Disable connection pooling entirely to ensure that all user connections are treated equally, even during peak hours.
C. Implement RDS Proxy with connection pooling.
D. Use Amazon RDS Performance Insights to analyze the SQL queries that most affect database performance. Update the SQL queries based on the analysis findings.
E. Use Amazon RDS for PostgreSQL with a single Availability Zone.

Answer: C,D

Explanation:
Performance Insights helps identify the top wait events and most resource-intensive queries so you can optimize or index them, directly reducing CPU utilization and query latency.
RDS Proxy manages and pools database connections, smoothing out connection spikes and reducing overhead on the database during surges, which improves performance and reduces timeouts.

NEW QUESTION # 88
......

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