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Amazon SOA-C02 Exam Questions
- Amazon Associate Certifications
- Amazon AWS Certified SysOps Administrator Associate SysOps Associate Certifications
- Topic 1: Monitoring, Logging, and Remediation: In this topic, AWS system administrators gain expertise in leveraging AWS monitoring and logging services to implement metrics, alarms, and filters effectively. Additionally, it covers remediation techniques using monitoring and availability metrics to resolve operational issues. This topic evaluates the ability to maintain system health and respond to anomalies promptly, ensuring robust system operations.
- Topic 2: Reliability and Business Continuity: This topic equips AWS system administrators with the skills to implement scalability, elasticity, and high availability in cloud environments. It also emphasizes designing resilient systems and robust backup and restore strategies.
- Topic 3: Deployment, Provisioning, and Automation: AWS system administrators are introduced to provisioning and maintaining cloud resources efficiently while automating manual or repetitive tasks. This topic highlights the practical application of automation to streamline operations, reduce errors, and optimize workflows. It assesses the ability to maintain operational efficiency in dynamic cloud environments.
- Topic 4: Security and Compliance: This topic delves into implementing and managing security and compliance policies to safeguard AWS environments. System administrators learn about data and infrastructure protection strategies, ensuring adherence to regulatory standards. It evaluates expertise in maintaining secure and compliant cloud operations, crucial for minimizing risks and ensuring trust.
- Topic 5: Networking and Content Delivery: In this topic, AWS system administrators develop skills to implement networking features and connectivity solutions. It includes configuring domains, DNS services, and content delivery mechanisms, along with troubleshooting network connectivity issues. The focus here is on ensuring seamless communication and efficient content delivery within cloud systems.
- Topic 6: Cost and Performance Optimization: This topic focuses on cost optimization strategies to manage and reduce operational expenses effectively. It also covers performance optimization techniques to ensure cloud resources operate efficiently under varying workloads. AWS system administrators are assessed on their ability to deliver cost-effective and high-performance solutions tailored to organizational needs.
Free Amazon SOA-C02 Exam Actual Questions
Note: Premium Questions for SOA-C02 were last updated On Oct. 17, 2025 (see below)
[Monitoring, Reporting, and Automation]
A SysOps administrator needs to collect the content of log files from a custom application that is deployed across hundreds of Amazon EC2 instances running Ubuntu. The log files need to be stored in Amazon CloudWatch Logs.
How should the SysOps administrator collect the application log files with the LEAST operational overhead?
The unified Amazon CloudWatch agent can collect both logs and metrics from Amazon EC2 instances. To efficiently deploy and manage the CloudWatch agent across multiple EC2 instances, AWS Systems Manager can be utilized.
By storing the CloudWatch agent configuration in AWS Systems Manager Parameter Store, you can centrally manage the configuration and ensure consistency across all instances. Using Systems Manager, you can automate the installation and configuration of the CloudWatch agent on each EC2 instance, reducing manual effort and operational overhead.
This approach allows for scalable and consistent log collection from a large fleet of EC2 instances, aligning with best practices for operational efficiency.
Amazon CloudWatch Documentation: Collect metrics, logs, and traces with the CloudWatch agent
[Monitoring, Reporting, and Automation]
A SysOps administrator is responsible for a large fleet of Amazon EC2 instances and must know whether any instances will be affected by upcoming hardware maintenance. Which option would provide this information with the LEAST administrative overhead?
The AWS Personal Health Dashboard provides a personalized view into the performance and availability of the AWS services underlying your AWS resources. It can alert you about upcoming hardware maintenance that could affect your EC2 instances.
Access AWS Personal Health Dashboard:
Open the AWS Personal Health Dashboard at AWS Personal Health Dashboard.
View Service Health:
The dashboard shows a list of recent events, including upcoming scheduled maintenance that might impact your EC2 instances.
You can filter events to view those that specifically affect your EC2 instances.
Set Up Notifications:
You can configure AWS CloudWatch Events or Amazon SNS to send notifications based on Personal Health Dashboard events.
AWS Personal Health Dashboard
Monitoring AWS Health Events with Amazon CloudWatch Events
https://docs.aws.amazon.com/health/latest/ug/cloudwatch-events-health.html
[Cost and Performance Optimization]
A company has an ecommerce application. The application runs on Amazon EC2 instances that are in an Auto Scaling group. The company runs a backend PostgreSQL database on Amazon RDS. As the number of EC2 instances increases during times of high application usage, the database's CPU utilization increases. At the same time, the database's available memory significantly decreases. A SysOps administrator must reduce the overhead of the new database connections from the Auto Scaling group in a highly available manner.
Which solution will meet this requirement?
Amazon RDS Proxy is a fully managed, highly available database proxy for Amazon RDS that helps improve the scalability, availability, and security of database applications. It allows applications to pool and share database connections, reducing the overhead associated with opening and closing connections, which can be particularly beneficial in scenarios with fluctuating workloads, such as those managed by Auto Scaling groups.
By implementing RDS Proxy, you can:
Reduce CPU and Memory Overhead:
By managing a pool of connections, RDS Proxy reduces the number of active connections to the database, thereby decreasing the CPU and memory usage on the RDS instance.
Improve Application Scalability:
RDS Proxy can handle a large number of simultaneous connections, making it easier to scale applications without overloading the database.
Enhance Availability:
In the event of a database failover, RDS Proxy can automatically connect to a standby database instance, preserving application connections and reducing failover times.
Therefore, creating an RDS Proxy and configuring it to connect to the existing PostgreSQL database is the most effective solution to meet the company's requirements.
[Monitoring, Reporting, and Automation]
A company migrated an I/O intensive application to an Amazon EC2 general purpose instance. The EC2 instance has a single General Purpose SSD Amazon Elastic Block Store (Amazon EBS) volume attached.
Application users report that certain actions that require intensive reading and writing to the disk are taking much longer than normal or are failing completely. After reviewing the performance metrics of the EBS volume, a SysOps administrator notices that the VolumeQueueLength metric is consistently high during the same times in which the users are reporting issues. The SysOps administrator needs to resolve this problem to restore full performance to the application.
Which action will meet these requirements?
Step-by-Step
Understand the Problem:
An I/O intensive application on an Amazon EC2 general purpose instance is experiencing performance issues.
Users report delays or failures during intensive read/write operations.
The VolumeQueueLength metric is consistently high during these periods.
Analyze the Requirements:
Address the high VolumeQueueLength, which indicates that the EBS volume is unable to handle the I/O requests efficiently.
Improve the disk I/O performance to restore full application performance.
Evaluate the Options:
Option A: Modify the instance type to be storage optimized.
Storage optimized instances are designed for workloads that require high, sequential read and write access to large data sets on local storage.
This could help, but if the issue is primarily with EBS volume performance, increasing IOPS would be a more direct solution.
Option B: Modify the volume properties by deselecting Auto-Enable Volume I/O.
Auto-Enable Volume I/O is a setting that automatically enables I/O for the EBS volume after an event such as a snapshot restore.
Deselecting this option will not address the issue of high I/O demand.
Option C: Modify the volume properties to increase the IOPS.
Increasing the IOPS (Input/Output Operations Per Second) will directly address the high VolumeQueueLength by allowing the volume to handle more I/O operations concurrently.
This is the most effective and direct solution to improve the performance of I/O intensive tasks.
Option D: Modify the instance to enable enhanced networking.
Enhanced networking provides higher bandwidth, higher packet per second (PPS) performance, and consistently lower inter-instance latencies.
While beneficial for network performance, this does not directly impact the EBS volume's I/O performance.
Select the Best Solution:
Option C: Modifying the volume properties to increase the IOPS directly addresses the high VolumeQueueLength and improves the EBS volume's ability to handle intensive read/write operations.
Amazon EBS Volume Types
Amazon EBS Volume Performance
Optimizing EBS Performance
Increasing the IOPS of the EBS volume ensures that the application can handle the required intensive read/write operations more efficiently, directly addressing the high VolumeQueueLength and restoring full performance.
[Monitoring, Reporting, and Automation]
A SysOps administrator must create a solution that immediately notifies software developers if an AWS Lambda function experiences an error.
Which solution will meet this requirement?
To immediately notify software developers if an AWS Lambda function experiences an error, follow these steps:
Create an SNS Topic:
Navigate to the Amazon SNS console and create a new topic.
Add email subscriptions for each developer to the SNS topic.
Create a CloudWatch Alarm:
Go to the Amazon CloudWatch console and create an alarm based on the Errors metric for the specific Lambda function.
Use the Lambda function name as a dimension.
Configure the alarm to trigger when the metric exceeds a threshold indicating an error.
Configure Notification:
Set the CloudWatch alarm action to send a notification to the SNS topic created in step 1 when the alarm state reaches ALARM.
This configuration ensures that developers are notified immediately via email if the Lambda function experiences an error.
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