Quiz 2026 Amazon - SOA-C03 - Practice AWS Certified CloudOps Engineer - Associate Test Engine

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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	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	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 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	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.

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Amazon AWS Certified CloudOps Engineer - Associate Sample Questions (Q186-Q191):

NEW QUESTION # 186
A company runs a critical application by using Amazon DynamoDB. During a recent deployment, the application accidentally wrote incorrect data to a DynamoDB table. The table has point-in-time recovery (PITR) enabled with continuous backups. DynamoDB Streams is enabled on the table. The company's recovery point objective (RPO) is 2 minutes.
A CloudOps engineer must restore the table to its state from 2 minutes before the corruption occurred.
Which solution will meet these requirements?

A. Use PITR to restore the table to 2 minutes before the incorrect data was written. Update the existing table in place.
B. Create a new table by using PITR to restore the table from 2 minutes before the corruption occurred.
Update the application to reference the new table.
C. Use DynamoDB Streams to replay the table's change events in reverse order to undo the writing of the incorrect data.
D. Restore the most recent on-demand snapshot. Use DynamoDB Streams to replay all transactions since the snapshot was taken.

Answer: B

Explanation:
DynamoDB point-in-time recovery continuously backs up table data and can restore the table to a selected second within the recovery window. AWS documentation states that a PITR restore restores the data to a new table, not in place on the existing table. Therefore, the correct process is to restore the table to the timestamp two minutes before the corruption and then update the application to use the newly restored table. Option A is wrong because PITR does not update the existing table in place. Option C uses an on-demand snapshot, which might not meet the 2-minute RPO. Option D is unsafe because DynamoDB Streams are not a managed reverse-transaction rollback mechanism. PITR to a new table is the reliable recovery method.

NEW QUESTION # 187
A company hosts a critical legacy application on two Amazon EC2 instances that are in one Availability Zone. The instances run behind an Application Load Balancer (ALB). The company uses Amazon CloudWatch alarms to send Amazon Simple Notification Service (Amazon SNS) notifications when the ALB health checks detect an unhealthy instance. After a notification, the company's engineers manually restart the unhealthy instance. A CloudOps engineer must configure the application to be highly available and more resilient to failures. Which solution will meet these requirements?

A. Create an Amazon Machine Image (AMI) from a healthy instance. Create a launch template that uses the AMI. Create an Amazon EC2 Auto Scaling group that is deployed across multiple Availability Zones. Configure the Auto Scaling group to add instances to the ALB target group.
B. Increase the size of each instance. Create an Amazon EventBridge rule. Configure the EventBridge rule to restart the instances if they enter a failed state.
C. Create an Amazon Machine Image (AMI) from a healthy instance. Launch additional instances from the AMI in the same Availability Zone. Add the new instances to the ALB target group.
D. Create an Amazon Machine Image (AMI) from a healthy instance. Launch an additional instance from the AMI in the same Availability Zone. Add the new instance to the ALB target group. Create an AWS Lambda function that runs when an instance is unhealthy. Configure the Lambda function to stop and restart the unhealthy instance.

Answer: A

Explanation:
High availability requires removing single-AZ risk and eliminating manual recovery. The AWS Reliability best practices state to design for multi-AZ and automatic healing: Auto Scaling "helps maintain application availability and allows you to automatically add or remove EC2 instances" (AWS Auto Scaling User Guide).
The Reliability Pillar recommends to "distribute workloads across multiple Availability Zones" and to
"automate recovery from failure" (AWS Well-Architected Framework - Reliability Pillar). Attaching the Auto Scaling group to an ALB target group enables health-based replacement: instances failing load balancer health checks are replaced and traffic is routed only to healthy targets. Using an AMI in a launch template ensures consistent, repeatable instance configuration (AWS EC2 Launch Templates). Options A and C keep all instances in a single Availability Zone and rely on manual or ad-hoc restarts, which do not meet high- availability or resiliency goals. Option B only scales vertically and adds a restart rule; it neither removes the single-AZ failure domain nor provides automated replacement. Therefore, creating a multi-AZ EC2 Auto Scaling group with a launch template and attaching it to the ALB target group (Option D) is the CloudOps- aligned solution for resilience and business continuity.
References:* AWS Certified CloudOps Engineer - Associate (SOA-C03) Exam Guide: Domain 2 - Reliability and Business Continuity* AWS Well-Architected Framework - Reliability Pillar* Amazon EC2 Auto Scaling User Guide - Health checks and replacement* Elastic Load Balancing User Guide - Target group health checks and ALB integration* Amazon EC2 Launch Templates - Reproducible instance configuration

NEW QUESTION # 188
A company has an Amazon EC2 instance that has high CPU utilization. The EC2 instance is a t3.large instance and is running a test web application. The company discovers that the web application would operate better on a compute optimized large instance. What should a CloudOps engineer do to make this change?

A. Enable hibernation on the EC2 instance. Change the instance type to a compute optimized instance. Disable hibernation on the EC2 instance.
B. Migrate the EC2 instance to a compute optimized instance by using AWS VM Import/Export.
C. Stop the EC2 instance. Change the instance type to a compute optimized instance. Start the EC2 instance.
D. Change the instance type to a compute optimized instance while the EC2 instance is running.

Answer: C

Explanation:
For an EBS-backed EC2 instance, the instance must be stopped before changing its instance type. After stopping the instance, the CloudOps engineer can change it from t3.large to an appropriate compute optimized instance type and then restart it.

NEW QUESTION # 189
A company has a web application that is experiencing performance problems many times each night. A root cause analysis reveals sudden increases in CPU utilization that last 5 minutes on an Amazon EC2 Linux instance. A CloudOps engineer must find the process ID (PID) of the service or process that is consuming more CPU.
What should the CloudOps engineer do to collect the process utilization information with the LEAST amount of effort?

A. Configure the Amazon CloudWatch agent procstat plugin to capture CPU process metrics.
B. Log in to the EC2 instance by using a .pem key each night. Then run the top command.
C. Configure an AWS Lambda function to run every minute to capture the PID and send a notification.
D. Use the default Amazon CloudWatch CPU utilization metric to capture the PID in CloudWatch.

Answer: A

Explanation:
The CloudWatch agent procstat plugin can be configured to automatically collect detailed per- process CPU utilization metrics, including process IDs (PIDs), with minimal setup effort. This eliminates the need for manual monitoring or custom scripts, and integrates directly with CloudWatch for visualization, alerting, and analysis - making it the most efficient and scalable solution.

NEW QUESTION # 190
A company uses AWS Organizations to manage its AWS accounts. The company is implementing a CostCenter tag for business units to track costs and prevent noncompliant actions.
The company needs to prevent users from launching Amazon EC2 instances with a CostCenter tag unless the tag has specified values.
Which solution will meet this requirement with the LEAST administrative effort?

A. Configure inventory collection for the EC2 instances in AWS Systems Manager Inventory. Attach the CostCenter tag to the managed instances.
B. Create an Amazon Machine Image (AMI) for each of the company's business units. Include a user data script that tags instances when they are launched.
C. Create an Amazon EventBridge rule that invokes an AWS Lambda function when a user launches an EC2 instance. Configure the Lambda function to apply the appropriate CostCenter tag for each user's IAM role or to terminate the instance if the tag lacks the specified values.
D. Create a service control policy (SCP) for the CostCenter tag in Organizations. Define the specified values in the policy. Attach the policy to all the company's organizational units (OUs).

Answer: D

Explanation:
A service control policy in AWS Organizations can enforce organization-wide restrictions on EC2 launch requests based on the CostCenter tag value. By defining the permitted tag values and attaching the policy to the relevant organizational units, the company can centrally prevent noncompliant launches with minimal ongoing administrative effort.

NEW QUESTION # 191
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