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Amazon DOP-C02 (AWS Certified DevOps Engineer - Professional) Certification Exam is designed to test the skills and knowledge of DevOps professionals who work with the Amazon Web Services (AWS) platform. DOP-C02 Exam is aimed at experienced DevOps engineers who have a deep understanding of AWS services and are able to manage complex, multi-tier applications on the AWS platform.
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The AWS Certified DevOps Engineer - Professional certification exam is delivered online and consists of multiple-choice and multiple-response questions. Candidates have 170 minutes to complete the exam, and the passing score is 750 out of 1000 points. DOP-C02 exam fee is $300 USD, and candidates can register for the exam through the AWS website. AWS also offers a range of study materials and resources to help candidates prepare for the exam, including practice exams, training courses, and whitepapers.
The Amazon DOP-C02 Exam measures the candidate's proficiency in various aspects of DevOps, such as continuous integration and delivery, infrastructure automation, monitoring and logging, security and compliance, and troubleshooting. DOP-C02 exam is designed for experienced DevOps professionals who have a deep understanding of AWS services and are familiar with DevOps practices and tools.
NEW QUESTION # 18
A company recently deployed its web application on AWS. The company is preparing for a large-scale sales event and must ensure that the web application can scale to meet the demand The application's frontend infrastructure includes an Amazon CloudFront distribution that has an Amazon S3 bucket as an origin. The backend infrastructure includes an Amazon API Gateway API. several AWS Lambda functions, and an Amazon Aurora DB cluster The company's DevOps engineer conducts a load test and identifies that the Lambda functions can fulfill the peak number of requests However, the DevOps engineer notices request latency during the initial burst of requests Most of the requests to the Lambda functions produce queries to the database A large portion of the invocation time is used to establish database connections Which combination of steps will provide the application with the required scalability? (Select TWO)
Answer: C,D
Explanation:
The correct answer is B and E. Configuring a higher provisioned concurrency for the Lambda functions will ensure that the functions are ready to respond to the initial burst of requests without any cold start latency. Using Amazon RDS Proxy to create a proxy for the Aurora database will enable the Lambda functions to reuse existing database connections and reduce the overhead of establishing new ones. This will also improve the scalability and availability of the database by managing the connection pool size and handling failovers. Option A is incorrect because reserved concurrency only limits the number of concurrent executions for a function, not pre-warms them. Option C is incorrect because converting the DB cluster to an Aurora global database will not address the issue of database connection latency, and may introduce additional costs and complexity. Option D is incorrect because moving the code blocks that initialize database connections into the function handlers will not improve the performance or scalability of the Lambda functions, and may actually worsen the cold start latency. Reference:
AWS Lambda Provisioned Concurrency
Using Amazon RDS Proxy with AWS Lambda
Certified DevOps Engineer - Professional (DOP-C02) Study Guide (page 173)
NEW QUESTION # 19
A company recently migrated its legacy application from on-premises to AWS. The application is hosted on Amazon EC2 instances behind an Application Load Balancer which is behind Amazon API Gateway. The company wants to ensure users experience minimal disruptions during any deployment of a new version of the application. The company also wants to ensure it can quickly roll back updates if there is an issue.
Which solution will meet these requirements with MINIMAL changes to the application?
Answer: B
Explanation:
Explanation
API Gateway supports canary deployment on a deployment stage before you direct all traffic to that stage. A parallel environment means we will create a new ALB and a target group that will target a new set of EC2 instances on which the newer version of the app will be deployed. So the canary setting associated to the new version of the API will connect with the new ALB instance which in turn will direct the traffic to the new EC2 instances on which the newer version of the application is deployed.
NEW QUESTION # 20
A company has a stateless web application that is deployed on Amazon EC2 instances. The EC2 instances are in a target group behind an Application Load Balancer (ALB). Amazon Route 53 manages the application domain.
The company updates the application UI and develops a beta version of the application. The company wants to test the beta version on 10% of its traffic.
Which solution will meet these requirements with the LEAST number of configuration changes?
Answer: D
Explanation:
Comprehensive and Detailed Explanation From Exact Extract of DevOps Engineer Documents Only:
ALB supports weighted target groups for traffic splitting between versions without DNS-level changes. By attaching multiple target groups (old & beta) to the same ALB listener rule with weights (90/10), partial traffic testing can occur seamlessly. This is the recommended least-change method per Application Load Balancer advanced request routing documentation.
NEW QUESTION # 21
A DevOps engineer uses AWS Control Tower to deploy multiple AWS accounts to support business, technical, and administrative units in a company. A security team needs the DevOps engineer to automate AWS Control Tower guardrails for the company. The guardrails must be applied to all accounts in an OU of the company's organization in AWS Organizations.
The security team needs a solution that has version control features. The security team must be able to review and roll back versions when necessary. The security team will manage the solution in the security team's OU.
The security team wants to specify the types of guardrails that are allowed. The security team wants to allow only new guardrails that the security team approves.
Which solution will meet these requirements with the MOST operational efficiency?
Answer: A
Explanation:
The security team's requirements emphasize governance, approval control, versioning, and automation with minimal operational overhead. AWS Control Tower natively supports guardrail enablement through the AWS::ControlTower::EnableControl CloudFormation resource, which can target entire organizational units.
Managing these resources as CloudFormation templates stored in a Git repository provides built-in version control, change review, and rollback capabilities through standard Git workflows.
Option C implements a GitOps-style approach. Each guardrail is defined declaratively in CloudFormation, scoped at the OU level, ensuring consistent enforcement across all accounts in that OU. Storing the templates in a CodeConnections-compatible Git repository allows the security team to review, approve, and audit changes through pull requests. By configuring AWS CodePipeline in the security team's account and triggering it automatically via an Amazon EventBridge rule on repository merges, only approved changes are deployed. This ensures that new guardrails are enabled only after explicit approval and that the deployment process is fully automated.
Option A lacks pipeline orchestration and approval workflows. Option B requires manual pipeline invocation and per-account configuration, increasing operational overhead. Option D relies on S3 as the source of truth, which lacks native version control and approval mechanisms compared to Git.
Therefore, Option C provides the most operationally efficient, secure, and auditable solution aligned with AWS Control Tower automation best practices.
NEW QUESTION # 22
A company uses AWS CDK and CodePipeline with CodeBuild to deploy applications. The company wants to enforce unit tests before deployment; deployment proceeds only if tests pass.
Which steps enforce this? (Select TWO.)
Answer: B,C
Explanation:
* Running unit tests in the build phase and aborting on failure (OnFailure=ABORT) prevents deployment if tests fail.
* AWS CDK assertions module provides programmatic unit tests against synthesized templates (Option D).
* The --rollback flag relates to CloudFormation stack rollback, not test gating.
* The --require-approval flag controls manual approvals, not test outcomes.
* cdk diff checks for changes but is not a unit test and may not catch logical errors.
References:
Testing AWS CDK Applications
CodeBuild Buildspec OnFailure
NEW QUESTION # 23
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