[NEW] AWS Certified DevOps Engineer – Professional [2026]

AWS Certified DevOps Engineer – Professional Detailed Exam Domain CoverageSDLC Automation (22%)Topics: Apply concepts required to automate a CI/CD pipeline, Determine source control strategies and how to implement them, Apply concepts required to automate and integrate testing, Apply concepts required to build and manage artifacts securely, Determine deployment/delivery strategies (e. g. , A/B, Blue/green, Canary, Red/black) and implement them using AWS servicesConfiguration Management and Infrastructure as Code (17%)Topics: Automate infrastructure provisioning with AWS CloudFormation, Use AWS CDK for infrastructure as code, Leverage AWS Systems Manager for configuration management, Determine deployment services based on deployment needs, Implement immutable infrastructure patternsResilient Cloud Solutions (15%)Topics: Determine appropriate use of multi-AZ versus multi-region architectures, Implement high availability, scalability, and fault tolerance, Select services based on RTO/RPO and cost considerations, Design automated failover and backup strategiesMonitoring and Logging (15%)Topics: Configure CloudWatch metrics and alarms, Set up log aggregation with CloudWatch Logs or ELB access logs, Implement centralized monitoring for applications, Create event-driven architectures using EventBridgeIncident and Event Response (14%)Topics: Troubleshoot issues and determine how to restore operations, Automate event management and alerting, Implement automated healing mechanisms, Set up event-driven automated actionsSecurity and Compliance (17%)Topics: Understand Service Control Policies (SCPs) and IAM policy design, Implement encryption, auditing, and governance strategies, Use security services such as Macie, GuardDuty, Inspector, and Config, Apply compliance frameworks and automated security checksI have designed this comprehensive practice test suite to help you master the AWS Certified DevOps Engineer - Professional certification, By taking these practice exams, you will gain the advanced technical expertise required for provisioning, operating, and managing distributed application systems on the AWS platform, Organizations actively seek qualified professionals who can guarantee the speedy delivery of secure, compliant, highly available, and scalable systems, and this question bank will give you the confidence to become that expert, I have carefully created practice questions that feature detailed explanations for every single answer and option, ensuring you fully understand the core concepts behind SDLC automation, configuration management, and resilient cloud architecture, This is not just a test, it is a complete study mechanism designed to validate your skills in monitoring, logging, incident response, and implementing robust security compliance frameworks, I focus on real-world scenarios so you can identify the best delivery strategies like blue/green or canary deployments while fully utilizing AWS services,Practice Questions PreviewQuestion 1: A company wants to implement a CI/CD pipeline using AWS CodePipeline and AWS CodeDeploy, They require a deployment strategy that shifts traffic in equal increments over a specific period of time while allowing for automated rollback if custom metrics breach predefined thresholds, Which deployment strategy and configuration should the DevOps Engineer choose?

Options:A) AWS CodeDeploy with Canary deployments shifting 10 percent of traffic every 5 minutesB) AWS CodeDeploy with Linear deployments shifting traffic in equal increments over timeC) AWS CodeDeploy with Blue/Green deployments routing all traffic at once to the new environmentD) AWS Elastic Beanstalk utilizing immutable deployment patternsE) AWS CloudFormation utilizing rolling updates with a batch size of oneF) AWS OpsWorks utilizing blue/green layer swapping mechanismsCorrect Answer: BOverall Explanation: The scenario specifically asks for a strategy that shifts traffic in "equal increments over a specific period", This is the exact definition of a Linear deployment in AWS CodeDeploy, Canary deployments shift traffic in two increments, while Blue/Green shifts all traffic at once or can be combined with linear/canary, but linear is the native configuration for equal increments,Option Explanations:A: Incorrect because Canary deployments shift a specified percentage of traffic in the first increment, and the remaining traffic in the second increment, rather than equal increments over the entire period,B: Correct because Linear deployments shift traffic in equal increments with a specified number of minutes between each increment, matching the company requirements perfectly,C: Incorrect because an all-at-once Blue/Green deployment cuts over 100 percent of the traffic simultaneously, violating the requirement to shift traffic in increments,D: Incorrect because Elastic Beanstalk immutable deployments create a fresh environment and then cut over, which does not natively support granular metric-based traffic shifting increments like CodeDeploy Linear,E: Incorrect because CloudFormation rolling updates replace instances in batches but do not provide the granular, percentage-based traffic shifting and automatic metric-based rollback capabilities required here,F: Incorrect because OpsWorks does not natively support equal-increment traffic shifting for application code deployments in the manner described,Question 2: An application runs on Amazon EC2 instances within an Auto Scaling group, I need to ensure that whenever an instance is selected for termination by the Auto Scaling group, a custom script runs to safely back up specific log files to an Amazon S3 bucket before the instance fully shuts down, Which combination of services and actions will meet this requirement most reliably? Options:A) Use CloudWatch alarms based on CPU utilization to trigger an AWS Lambda function to extract logsB) Configure an Amazon EC2 Auto Scaling lifecycle hook for the terminating state and use Amazon EventBridge to trigger an AWS Systems Manager Run CommandC) Attach a strict IAM role to the instances and use standard EC2 user data shutdown scriptsD) Trigger AWS Step Functions directly from EC2 instance termination notices using an SNS topicE) Use AWS Config rules to monitor instance state changes and trigger Systems Manager automationF) Deploy an AWS Lambda function triggered by AWS CloudTrail StopInstances API calls to SSH into the instanceCorrect Answer: BOverall Explanation: To execute custom actions before an EC2 instance in an Auto Scaling group is terminated, the standard and most reliable AWS architectural pattern is to use Auto Scaling lifecycle hooks, The hook pauses the termination process, allowing EventBridge to catch the lifecycle event and trigger Systems Manager Run Command to execute the backup script on the target instance,Option Explanations:A: Incorrect because CPU utilization drops do not guarantee an instance is being terminated by Auto Scaling, making this an unreliable trigger,B: Correct because a lifecycle hook explicitly pauses the termination process, giving the Systems Manager Run Command ample time to safely back up the logs to S3 before continuing the termination,C: Incorrect because EC2 user data scripts run at launch, not at shutdown, and standard OS-level shutdown scripts might not complete before the instance is forcibly terminated by Auto Scaling,D: Incorrect because while Step Functions can orchestrate workflows, Step Functions cannot run shell scripts natively on the EC2 instance without integrating with Systems Manager or similar agents,E: Incorrect because AWS Config is a configuration evaluation tool, not a real-time event response mechanism for intercepting Auto Scaling terminations,F: Incorrect because Auto Scaling does not use the standard StopInstances API call to terminate instances, it uses TerminateInstances, and Lambda cannot easily SSH into private instances without complex networking and credential management,Question 3: A DevOps team is standardizing infrastructure provisioning across multiple AWS accounts within AWS Organizations, I must ensure that all newly provisioned Amazon S3 buckets automatically block public access and developers must be strictly prevented from creating buckets that do not meet encryption standards, Which approach provides the most robust automated preventative governance?