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Amazon SOA-C03 Exam Overview:

Certification Vendor:	Amazon Web Services (AWS)
Exam Name:	AWS Certified SysOps Administrator - Associate (SOA-C03)
Exam Number:	SOA-C03
Passing Score:	720 (scaled score out of 1000)
Exam Format:	Multiple response, Multiple choice
Exam Duration:	130 minutes
Related Certifications:	AWS Certified Solutions Architect - Associate AWS Certified Developer - Associate
Certificate Validity Period:	3 years
Exam Price:	150 USD
Available Languages:	Korean, French, Japanese, Spanish (Latin America), German, Simplified Chinese, English
Real Exam Qty:	65 questions
Recommended Training:	AWS Certified SysOps Administrator Associate Training (Official Learning Resources) AWS Skill Builder - SysOps Administrator Learning Path
Exam Registration:	AWS Certification Portal AWS Certification Official Registration
Sample Questions:	Amazon SOA-C03 Sample Questions
Exam Way:	Online proctored or test center delivery
Pre Condition:	No formal prerequisites, but AWS recommends at least 1 year of experience managing AWS workloads in a SysOps or cloud operations role.
Official Syllabus URL:	https://aws.amazon.com/certification/certified-sysops-administrator-associate/

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Amazon SOA-C03 Exam Syllabus Topics:

Topic	Details
Topic 1	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 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	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.

Amazon AWS Certified CloudOps Engineer - Associate Sample Questions (Q315-Q320):

NEW QUESTION # 315
A company's reporting job that previously ran in 15 minutes is now taking 1 hour. The application runs on Amazon EC2 and extracts data from an Amazon RDS for MySQL DB instance.
CloudWatch metrics show high Read IOPS even when reports are not running. The CloudOps engineer must improve performance and availability.
Which solution will meet these requirements?

A. Create a CloudFront distribution with the RDS instance as the origin.
B. Deploy an RDS read replica and update the reporting job to query the reader endpoint.
C. Configure Amazon ElastiCache and query it for reports.
D. Increase the size of the RDS instance.

Answer: B

Explanation:
RDS read replicas offload read traffic from the primary database, improving performance and availability. By directing reporting queries to the reader endpoint, the primary instance is freed from heavy read workloads.
ElastiCache is unsuitable for complex SQL reporting. CloudFront cannot front a database. Increasing instance size does not address inefficient read scaling.
Thus, read replicas are the correct solution.

NEW QUESTION # 316
A CloudOps engineer is designing a solution for an Amazon RDS for PostgreSQL DB instance.
Database credentials must be stored and rotated monthly. The applications that connect to the DB instance send write-intensive traffic with variable client connections that sometimes increase significantly in a short period of time.
Which solution should a CloudOps engineer choose to meet these requirements?

A. Configure AWS Secrets Manager to automatically rotate the credentials for the DB instance. Use RDS Proxy to handle the increases in database connections.
B. Configure AWS Secrets Manager to automatically rotate the credentials for the DB instance. Use RDS read replicas to handle the increases in database connections.
C. Configure AWS Key Management Service (AWS KMS) to automatically rotate the keys for the DB instance. Use RDS read replicas to handle the increases in database connections.
D. Configure AWS Key Management Service (AWS KMS) to automatically rotate the keys for the DB instance. Use RDS Proxy to handle the increases in database connections.

Answer: A

Explanation:
AWS Secrets Manager is designed to store and automatically rotate database credentials, meeting the monthly rotation requirement without code changes.
RDS Proxy manages database connections and pools them efficiently, protecting the DB instance during sudden spikes in client connections and reducing connection overhead for a write- intensive workload.

NEW QUESTION # 317
A developer uses an Amazon Linux Amazon Machine Image (AMI) to launch an EC2 instance that hosts a third-party application. The application occasionally becomes unstable. The CloudOps engineer needs a solution to automatically reboot the EC2 instance whenever utilization is above 90% for 15 minutes and to notify the developer about the reboot.
Which solution will meet these requirements with the LEAST administrative effort?

A. Create an AWS Systems Manager runbook script to publish a message to an Amazon Simple Notification Service (Amazon SNS) topic and to reboot the EC2 instance. Subscribe the developer to the SNS topic. Configure an Amazon CloudWatch alarm to run the Systems Manager runbook when CPU utilization for the instance remains above 90% for more than 15 minutes.
B. Create an Amazon CloudWatch alarm that evaluates the CPU utilization of the instance Configure the alarm to invoke an AWS Systems Manager action to create an incident to notify the developer and request the reboot.
C. Create an Amazon CloudWatch alarm that evaluates the CPU utilization of the instance.
Configure the alarm to publish a notification to an Amazon Simple Notification Service (Amazon SNS) topic and to perform an EC2 action to reboot the instance. Subscribe the developer to the SNS topic.
D. Configure an Amazon CloudWatch alarm that evaluates the CPU utilization of the instance.
Configure the alarm to invoke an AWS Lambda function to publish a message to an Amazon Simple Notification Service (Amazon SNS) topic when the CloudWatch alarm activates. Configure the Lambda function to reboot the EC2 instance. Subscribe the developer to the SNS topic.

Answer: C

Explanation:
A CloudWatch alarm can directly trigger two actions when the threshold is breached:
- EC2 action to reboot the instance.
- SNS notification to alert the developer.
This requires no Lambda or Systems Manager runbooks and is therefore the simplest and least administrative option that fully meets the requirements (CPU > 90% for 15 minutes, automatic reboot, and notification).

NEW QUESTION # 318
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?

A. Adjust the launch template that is associated with the Auto Scaling group to be more sensitive to increases in user traffic.
B. Create a scheduled scaling action to scale out the number of EC2 instances shortly before the increase in user traffic occurs.
C. Manually add a few more EC2 instances to the Auto Scaling group to support the increase in user traffic. Enable instance scale-in protection on the Auto Scaling group.
D. Adjust the minimum capacity of the Auto Scaling group to the size required to meet the increased demand during the 2-hour period.

Answer: B

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.

NEW QUESTION # 319
A company hosts an application on AWS that uses a 5 TB Amazon RDS for MySQL database.
The company performs frequent micro updates that cannot be interrupted. Sometimes structural changes to the database cause issues for the application. When an issue occurs, the company immediately receives a notification through automated monitoring.
The company wants to undo the problematic database changes as soon as possible. The company wants to transition from RDS for MySQL to an Amazon Aurora MySQL-Compatible Edition cluster.
Which solution will meet these requirements?

A. Activate the backtrack feature in the Aurora cluster during the initial creation or restoration of the Aurora cluster from the RDS for MySQL database. Use backtrack to roll back the database to the point in time right before the update began.
B. Create an RDS Proxy in front of the Aurora cluster. If the update fails, restore the DB snapshot and modify the RDS Proxy to use the new DB cluster endpoint.
C. Create a DB cluster snapshot immediately before the update begins. If the update fails, restore the DB snapshot and modify the application to use the new DB cluster endpoint.
D. Create a database record in an Amazon Route 53 private zone that points to the cluster endpoint.
Create a DB cluster snapshot immediately before the update begins. If the update fails, restore the DB snapshot and modify DNS accordingly.

Answer: A

Explanation:
Aurora MySQL-Compatible Edition supports the backtrack feature, which allows the database cluster to be rewound to an earlier point in time without restoring a full snapshot. For a large 5 TB database with frequent updates, backtracking provides a much faster way to undo problematic structural changes while minimizing interruption compared with snapshot restoration.

NEW QUESTION # 320
......

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