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To become certified, candidates must pass a 180-minute exam that includes multiple-choice, multiple-response, and scenario-based questions. DOP-C02 Exam is designed to test the candidate’s knowledge and skills in various areas of DevOps on AWS, including designing and managing continuous delivery systems, deploying and maintaining highly available and scalable systems, and automating and optimizing operational processes. The Amazon DOP-C02 certification is highly valued by employers and can help professionals advance their careers in the field of DevOps on AWS.

The AWS Certified DevOps Engineer - Professional (DOP-C02) certification exam is designed for IT professionals who work in a DevOps environment and have experience using AWS services for continuous integration and delivery. AWS Certified DevOps Engineer - Professional certification validates the candidate's knowledge and skills in areas such as automation, monitoring, and security practices, among others.

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The AWS Certified DevOps Engineer - Professional (DOP-C02) exam is designed to validate the skills and knowledge required to work with AWS in a DevOps engineering role. AWS Certified DevOps Engineer - Professional certification exam is intended for professionals who have experience working with AWS services and are responsible for managing and deploying applications on the AWS platform. DOP-C02 Exam is a comprehensive assessment of a candidate's ability to design, deploy, and manage scalable and highly available systems on AWS.

Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q350-Q355):

NEW QUESTION # 350
A company has a workflow that generates a file for each of the company's products and stores the files in a production environment Amazon S3 bucket. The company's users can access the S3 bucket.
Each file contains a product ID. Product IDs for products that have not been publicly announced are prefixed with a specific UUID. Product IDs are 12 characters long. IDs for products that have not been publicly announced begin with the letter P.
The company does not want information about products that have not been publicly announced to be available in the production environment S3 bucket.
Which solution will meet these requirements?

A. Create an Amazon Macie custom data identifier to identify product IDs in the production bucket that begin with the specific UUID. Launch an Amazon Macie sensitive data discovery job with the custom data identifier. Remove all files that have a Macie finding from the production S3 bucket.
B. Create a new staging S3 bucket. Generate all files in the new staging bucket. Launch an Amazon Macie sensitive data discovery job with a managed data identifier. Copy all files that do not have a Macie finding to the production S3 bucket.
C. Create a new staging S3 bucket. Generate all files in the new staging bucket. Create an Amazon Macie custom data identifier to identify product IDs in the new bucket that begin with the specific UUID.
Launch an Amazon Macie sensitive data discovery job with the custom data identifier. Copy all files that do not have a Macie finding to the production S3 bucket.
D. Create an Amazon Macie sensitive data discovery job with a managed data identifier. Remove all files that have a Macie finding from the production S3 bucket.

Answer: C

Explanation:
Comprehensive and Detailed Explanation From Exact Extract:
The requirement is to prevent any product files containing unannounced product IDs (prefixed with a specific UUID) from being stored in the production S3 bucket that users can access.
To achieve this, a best practice is to use astaging bucketas a control point before files go to production, combined with Amazon Macie's data classification capabilities.
* Creating acustom data identifierin Amazon Macie allows precise detection of product IDs starting with the specific UUID, which default managed identifiers will not detect.
* By running aMacie sensitive data discovery jobon the staging bucket, you can identify files containing these sensitive product IDs.
* Only fileswithout findings(i.e., files that do not contain unannounced product IDs) are copied to the production bucket, ensuring no sensitive information is exposed.This approach aligns with AWS best practices for data classification and staged deployment workflows, maximizing control and reducing risk.Using Macie on the production bucket directly (options B and D) risks exposing sensitive data before detection and deletion. Option C uses managed data identifiers, which will likely not detect the custom UUID prefix pattern.
Reference from AWS Official Documentation and Study Guide:
* Amazon Macie Custom Data Identifiers:"You can create custom data identifiers in Amazon Macie to find sensitive data that is unique to your organization."(Amazon Macie User Guide)
* Data Security Best Practices:"Use staging environments to inspect and sanitize data before moving it to production to reduce exposure risks."(AWS Security Best Practices)

NEW QUESTION # 351
A company needs to adopt a multi-account strategy to deploy its applications and the associated CI/CD infrastructure. The company has created an organization in AWS Organizations that has all features enabled.
The company has configured AWS Control Tower and has set up a landing zone.
The company needs to use AWS Control Tower controls (guardrails) in all AWS accounts in the organization.
The company must create the accounts for a multi-environment application and must ensure that all accounts are configured to an initial baseline.
Which solution will meet these requirements with the LEAST operational overhead?

A. Create an AWS Control Tower Account Factory Customization (AFC) blueprint that uses the baseline configuration. Use AWS Control Tower Account Factory to provision a dedicated AWS account for each environment and a CI/CD account by using the blueprint.
B. Use Organizations to provision a multi-environment AWS account and a CI/CD account. In the Organizations management account, create an AWS Lambda function that assumes the Organizations access role to apply the baseline configuration to the new accounts.
C. Use Organizations to provision a dedicated AWS account for each environment, an audit account, and a CI/CD account. Use AWS CloudFormation StackSets to apply the baseline configuration to the new accounts.
D. Use AWS Control Tower Account Factory to provision a dedicated AWS account for each environment and a CI/CD account. Use AWS CloudFormation StackSets to apply the baseline configuration to the new accounts.

Answer: A

Explanation:
Comprehensive & Detailed Explanation (150-250 words):
AWS Control Tower provides Account Factory and Account Factory Customizations (AFC) as the lowest- overhead and most scalable method for creating and configuring new accounts. AFC allows you to define blueprints that include mandatory baseline resources such as IAM roles, logging configurations, guardrails, network settings, and tagging standards. When accounts are created through Account Factory using a customization blueprint, all controls and baseline configurations are applied automatically during provisioning, without any additional automation steps or StackSet deployments.
Option B requires running StackSets after the account is created, which adds manual management overhead and defeats the built-in automation advantages of Control Tower. Options C and D rely on manually provisioning accounts via AWS Organizations, which bypasses Control Tower's governance and would require custom Lambda or StackSet automation to replicate controls that Control Tower already provides automatically.
Because the question explicitly asks for the least operational overhead, the correct answer is to use the Control Tower AFC blueprint, ensuring every account is born compliant with the required guardrails and baseline configuration.

NEW QUESTION # 352
A DevOps engineer needs to implement integration tests into an existing AWS CodePipelme CI/CD workflow for an Amazon Elastic Container Service (Amazon ECS) service. The CI/CD workflow retrieves new application code from an AWS CodeCommit repository and builds a container image. The CI/CD workflow then uploads the container image to Amazon Elastic Container Registry (Amazon ECR) with a new image tag version.
The integration tests must ensure that new versions of the service endpoint are reachable and that vanous API methods return successful response data The DevOps engineer has already created an ECS cluster to test the service Which combination of steps will meet these requirements with the LEAST management overhead? (Select THREE.)

A. Write a script that runs integration tests against the service. Upload the script to an Amazon S3 bucket.Integrate the script in the S3 bucket with CodePipeline by using an S3 action stage.
B. Update the image build pipeline stage to output an imagedefinitions json file that references the new image tag.
C. Add a deploy stage to the pipeline Configure AWS CodeDeploy as the action provider
D. Add a deploy stage to the pipeline Configure Amazon ECS as the action provider
E. Add an appspec.yml file to the CodeCommit repository
F. Create an AWS Lambda function that runs connectivity checks and API calls against the service.
Integrate the Lambda function with CodePipeline by using aLambda action stage

Answer: B,D,F

Explanation:
Add a Deploy Stage to the Pipeline, Configure Amazon ECS as the Action Provider:
* By adding a deploy stage to the pipeline and configuring Amazon ECS as the action provider, the pipeline can automatically deploy the new container image to the ECS cluster.
* This ensures that the service is updated with the new image tag, making the new version of the service endpoint reachable.

NEW QUESTION # 353
A company is developing an application that uses AWS Lambda functions. A DevOps engineer must create an AWS CloudFormation template that defines a deployment configuration for gradual traffic shifting to new Lambda function versions.
Which CloudFormation resource configuration will meet this requirement?

A. Use an AWS::CodeDeploy::DeploymentConfig resource. Define a TimeBasedCanary configuration.
Specify values for percentage and minutes for traffic shifting.
B. Use an AWS::CodeDeploy::DeploymentGroup resource. Define the DeploymentStyle property as BLUE_GREEN. Configure the TrafficRoutingConfig data type for linear traffic shifting.
C. Use an AWS::Lambda::Alias resource with the RoutingConfig property to specify weights for gradual traffic shifting between the Lambda function versions.
D. Use an AWS::Lambda::Version resource with the VersionWeight property to control the percentage of traffic that is routed to the new Lambda function versions.

Answer: C

Explanation:
For gradual traffic shifting in Lambda deployments, AWS Lambda aliases support the RoutingConfig property, which specifies the percentage of traffic routed to different versions of the Lambda function. This enables weighted traffic shifting between versions as part of deployment strategies.
* The AWS::Lambda::Alias resource's RoutingConfig can specify multiple versions with weights, enabling canary or linear deployment strategies without needing CodeDeploy resources explicitly.
* AWS CodeDeploy resources like DeploymentConfig and DeploymentGroup are used primarily for blue
/green deployments and managing deployment strategies outside Lambda aliases.
* Lambda versions themselves do not have a VersionWeight property; instead, weighted routing is managed via aliases.
Reference:
AWS::Lambda::Alias - RoutingConfig: " Specifies the versions of the function and the percentage of traffic to send to each version. " (AWS CloudFormation Lambda Alias) AWS Lambda Deployment Preferences: " Weighted aliases enable gradual traffic shifting between Lambda function versions. " (AWS Lambda Deployment Preferences)

NEW QUESTION # 354
A company needs to implement failover for its application. The application includes an Amazon CloudFront distribution and a public Application Load Balancer (ALB) in an AWS Region. The company has configured the ALB as the default origin for the distribution.
After some recent application outages, the company wants a zero-second RTO. The company deploys the application to a secondary Region in a warm standby configuration. A DevOps engineer needs to automate the failover of the application to the secondary Region so that HTTP GET requests meet the desired RTO.
Which solution will meet these requirements?

A. Create a CloudFront function that detects HTTP 5xx status codes. Configure the function to return a 307 Temporary Redirect error response to the secondary ALB if the function detects 5xx status codes. Update the distribution's default behavior to send origin responses to the function.
B. Create a new origin on the distribution for the secondary ALB. Create a new origin group. Set the original ALB as the primary origin. Configure the origin group to fail over for HTTP 5xx status codes. Update the default behavior to use the origin group.
C. Create a second CloudFront distribution that has the secondary ALB as the default origin. Create Amazon Route 53 alias records that have a failover policy and Evaluate Target Health set to Yes for both CloudFront distributions. Update the application to use the new record set.
D. Create Amazon Route 53 alias records that have a failover policy and Evaluate Target Health set to Yes for both ALBs. Set the TTL of both records to 0. Update the distribution's origin to use the new record set.

Answer: B

Explanation:
The best solution to implement failover for the application is to use CloudFront origin groups. Origin groups allow CloudFront to automatically switch to a secondary origin when the primary origin is unavailable or returns specific HTTP status codes that indicate a failure1. This way, CloudFront can serve the requests from the secondary ALB in the secondary Region without any delay or redirection. To set up origin groups, the DevOps engineer needs to create a new origin on the distribution for the secondary ALB, create a new origin group with the original ALB as the primary origin and the secondary ALB as the secondary origin, and configure the origin group to fail over for HTTP 5xx status codes. Then, the DevOps engineer needs to update the default behavior to use the origin group instead of the single origin2.
The other options are not as effective or efficient as the solution in option B. Option A is not suitable because creating a second CloudFront distribution will increase the complexity and cost of the application. Moreover, using Route 53 alias records with a failover policy will introduce some delay in detecting and switching to the secondary CloudFront distribution, which may not meet the zero-second RTO requirement. Option C is not feasible because CloudFront does not support using Route 53 alias records as origins3. Option D is not advisable because using a CloudFront function to redirect the requests to the secondary ALB will add an extra round-trip and latency to the failover process, which may also not meet the zero-second RTO requirement.
Reference:
1: Optimizing high availability with CloudFront origin failover - Amazon CloudFront
2: Creating an origin group - Amazon CloudFront
3: Values That You Specify When You Create or Update a Web Distribution - Amazon CloudFront

NEW QUESTION # 355
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