AWS Certified DevOps Engineer – Professional Detailed Exam Domain Coverage

• SDLC 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 services

• Configuration 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 patterns

• Resilient 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 strategies

• Monitoring 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 EventBridge

• Incident 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 actions

• Security 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 checks

I 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 Preview

Question 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 minutes

  • B) AWS CodeDeploy with Linear deployments shifting traffic in equal increments over time

  • C) AWS CodeDeploy with Blue/Green deployments routing all traffic at once to the new environment

  • D) AWS Elastic Beanstalk utilizing immutable deployment patterns

  • E) AWS CloudFormation utilizing rolling updates with a batch size of one

  • F) AWS OpsWorks utilizing blue/green layer swapping mechanisms

• Correct Answer: B

• Overall 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 logs

  • B) Configure an Amazon EC2 Auto Scaling lifecycle hook for the terminating state and use Amazon EventBridge to trigger an AWS Systems Manager Run Command

  • C) Attach a strict IAM role to the instances and use standard EC2 user data shutdown scripts

  • D) Trigger AWS Step Functions directly from EC2 instance termination notices using an SNS topic

  • E) Use AWS Config rules to monitor instance state changes and trigger Systems Manager automation

  • F) Deploy an AWS Lambda function triggered by AWS CloudTrail StopInstances API calls to SSH into the instance

• Correct Answer: B

• Overall 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?

• Options:

  • A) Deploy AWS Lambda functions triggered by S3 event notifications to delete non-compliant buckets immediately

  • B) Use AWS CloudFormation StackSets to deploy AWS Config managed rules and auto-remediation across all accounts

  • C) Implement Service Control Policies (SCPs) at the AWS Organizations level to deny unencrypted bucket creation and enforce public access blocks

  • D) Create a centralized Amazon EventBridge bus to monitor S3 API calls and alert administrators of violations

  • E) Utilize AWS Systems Manager State Manager to enforce S3 bucket policies on a daily schedule

  • F) Write a custom bash script that runs on an EC2 cron job to audit and fix bucket permissions across all accounts

• Correct Answer: C

• Overall Explanation: Preventative governance stops non-compliant actions from occurring in the first place, Service Control Policies (SCPs) act as a boundary of permissions for an AWS account or organizational unit, By applying SCPs, you can explicitly deny the s3:CreateBucket action if the request does not include the required encryption headers, thus preventing the creation of non-compliant resources entirely,

• Option Explanations:

  • A: Incorrect because deleting the bucket after creation is a reactive control, not a preventative one, and could disrupt applications attempting to provision resources,

  • B: Incorrect because AWS Config with auto-remediation is a detective and reactive control mechanism, allowing the non-compliant bucket to exist briefly before being fixed,

  • C: Correct because SCPs evaluate API calls before they are executed, providing a strict preventative guardrail that stops the creation of unencrypted buckets across all specified accounts,

  • D: Incorrect because monitoring and alerting is a detective control, meaning the unencrypted and public buckets would successfully be created and remain vulnerable until a human intervenes,

  • E: Incorrect because State Manager is typically used for OS-level configuration on EC2 instances, not for real-time AWS API governance and resource creation prevention,

  • F: Incorrect because a custom cron job script is highly inefficient, difficult to maintain across multiple accounts, and represents a delayed reactive control rather than preventative governance,

• Welcome to the Mock Exam Practice Tests Academy to help you prepare for your AWS Certified DevOps Engineer - Professional

• You can retake the exams as many times as you want

• This is a huge original question bank

• You get support from me if you have questions

• Each question has a detailed explanation

• Mobile-compatible with the Udemy app

I hope that by now you're convinced, And there are a lot more questions inside the course,