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The Amazon DOP-C02 exam covers a variety of topics and skills related to DevOps, including continuous integration and delivery (CI/CD), monitoring and logging, infrastructure as code, security, and automation. It is intended for individuals who have experience working with AWS services and tools and have a solid understanding of DevOps principles and practices.

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Earning the AWS Certified DevOps Engineer - Professional certification demonstrates a high level of expertise in DevOps engineering on AWS and can help professionals advance their careers in this field. It is an essential credential for those who are responsible for designing and managing complex systems on AWS and for those who are looking to take their AWS skills to the next level.

Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q334-Q339):

NEW QUESTION # 334
A company runs a website by using an Amazon Elastic Container Service (Amazon ECS) service that is connected to an Application Load Balancer (ALB). The service was in a steady state with tasks responding to requests successfully. A DevOps engineer updated the task definition with a new container image and deployed the new task definition to the service. The DevOps engineer noticed that the service is frequently stopping and starting new tasks because the ALB health checks are failing. What should the DevOps engineer do to troubleshoot the failed deployment?

A. Increase the service minimum healthy percent setting.
B. Decrease the ALB health check interval.
C. Ensure that a security group associated with the service allows traffic from the ALB.
D. Increase the ALB health check grace period for the service.

Answer: D

NEW QUESTION # 335
A growing company manages more than 50 accounts in an organization in AWS Organizations. The company has configured its applications to send logs to Amazon CloudWatch Logs.
A DevOps engineer needs to aggregate logs so that the company can quickly search the logs to respond to future security incidents. The DevOps engineer has created a new AWS account for centralized monitoring.
Which combination of steps should the DevOps engineer take to make the application logs searchable from the monitoring account? (Select THREE.)

A. Create an AWS CloudFormation template that defines an IAM role. Configure the role to allow logs-amazonaws.com to perform the logs:Link action if the aws:ResourceAccount property is equal to the monitoring account ID. Use CloudFormation StackSets in the organization's management account to deploy the CloudFormation template to the entire organization.
B. In the monitoring account, attach the CloudWatchLogsReadOnlyAccess AWS managed policy to an IAM role that can be assumed to search the logs.
C. use CloudWatch Observability Access Manager in the monitoring account to create a sink. Allow logs to be shared with the monitoring account. Configure the monitoring account data selection to view the Observability data from the organization ID.
D. In the organization's management account, enable the logging policies for the organization.
E. In the monitoring account, download an AWS CloudFormation template from CloudWatch to use in Organizations. Use CloudFormation StackSets in the organization's management account to deploy the CloudFormation template to the entire organization.
F. Create an IAM role in the monitoring account. Attach a trust policy that allows logs.amazonaws.com to perform the iam:CreateSink action if the aws:PrincipalOrgld property is equal to the organization ID.

Answer: A,B,F

Explanation:
Explanation
To aggregate logs from multiple accounts in an organization, the DevOps engineer needs to create a cross-account subscription1 that allows the monitoring account to receive log events from the sharing accounts.
To enable cross-account subscription, the DevOps engineer needs to create an IAM role in each sharing account that grants permission to CloudWatch Logs to link the log groups to the destination in the monitoring account2. This can be done using a CloudFormation template and StackSets3 to deploy the role to all accounts in the organization.
The DevOps engineer also needs to create an IAM role in the monitoring account that allows CloudWatch Logs to create a sink for receiving log events from other accounts4. The role must have a trust policy that specifies the organization ID as a condition.
Finally, the DevOps engineer needs to attach the CloudWatchLogsReadOnlyAccess policy5 to an IAM role in the monitoring account that can be used to search the logs from the cross-account subscription.
References: 1: Cross-account log data sharing with subscriptions 2: Create an IAM role for CloudWatch Logs in each sharing account 3: AWS CloudFormation StackSets 4: Create an IAM role for CloudWatch Logs in your monitoring account 5: CloudWatchLogsReadOnlyAccess policy

NEW QUESTION # 336
A company is building a serverless application that uses AWS Lambda functions to process data.
A BeginResponse Lambda function initializes data in response to specific application events. The company needs to ensure that a large number of Lambda functions are invoked after the BeginResponse Lambda function runs. Each Lambda function must be invoked in parallel and depends on only the outputs of the BeginResponse Lambda function. Each Lambda function has retry logic for invocation and must be able to fine-tune concurrency without losing data.
Which solution will meet these requirements with the MOST operational efficiency?

A. Create an Amazon Simple Notification Service (Amazon SNS) topic. Modify the BeginResponse Lambda function to publish to the SNS topic before the BeginResponse Lambda function finishes running. Subscribe all Lambda functions that need to invoke after the BeginResponse Lambda function runs to the SNS topic. Subscribe any new Lambda functions to the SNS topic.
B. Create an Amazon Simple Queue Service (Amazon SQS) queue for each Lambda function that needs to run after the BeginResponse Lambda function runs. Subscribe each Lambda function to its own SQS queue. Create an Amazon Simple Notification Service (Amazon SNS) topic. Subscribe each SQS queue to the SNS topic. Modify the BeginResponse function to publish to the SNS topic when it finishes running.
C. Create an Amazon Simple Queue Service (Amazon SQS) queue for each Lambda function that needs to run after the BeginResponse Lambda function runs. Subscribe the Lambda function to the SQS queue. Create an Amazon Simple Notification Service (Amazon SNS) topic for each SQS queue. Subscribe the SQS queues to the SNS topics. Modify the BeginResponse function to publish to the SNS topics when the function finishes running.
D. Create an AWS Step Functions Standard Workflow. Configure states in the workflow to invoke the Lambda functions sequentially. Create an Amazon Simple Notification Service (Amazon SNS) topic. Modify the BeginResponse Lambda function to publish to the SNS topic before the Lambda function finishes running. Create a new Lambda function that is subscribed to the SNS topic and that invokes the Step Functions workflow.

Answer: B

Explanation:
Comprehensive and Detailed Explanation From Exact Extract:
To invoke many Lambda functions in parallel and allow each function to have independent retry logic and concurrency management, using SQS queues for each Lambda function is recommended.
The BeginResponse Lambda publishes a message to an SNS topic, which fans out to multiple SQS queues (one per Lambda).
Each Lambda function polls its own SQS queue, allowing fine-grained control of concurrency and retry behavior.
SNS alone (Option A) invokes Lambda functions but lacks the queue's buffering and retry durability.
Step Functions (Option D) would invoke Lambdas sequentially, not in parallel, and add complexity.
Option C reverses SNS and SQS in an inefficient manner.
References:
Using SNS with SQS for fan-out and Lambda processing
Lambda retry behavior with SQS triggers

NEW QUESTION # 337
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. 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.
B. 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.
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 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.

Answer: B

Explanation:
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 # 338
A company is building a web and mobile application that uses a serverless architecture powered by AWS Lambda and Amazon API Gateway The company wants to fully automate the backend Lambda deployment based on code that is pushed to the appropriate environment branch in an AWS CodeCommit repository The deployment must have the following:
* Separate environment pipelines for testing and production
* Automatic deployment that occurs for test environments only
Which steps should be taken to meet these requirements'?

A. Create two AWS CodePipeline configurations for test and production environments Configure the production pipeline to have a manual approval step. Create one CodeCommit repository with a branch for each environment Set up each CodePipeline to retrieve the source code from the appropriate branch in the repository. Set up the deployment step to deploy the Lambda functions with AWS CloudFormation
B. Create two AWS CodePipeline configurations for test and production environments Configure the production pipeline to have a manual approval step Create a CodeCommit repository for each environment Set up each CodePipeline to retrieve the source code from the appropriate repository Set up the deployment step to deploy the Lambda functions with AWS CloudFormation.
C. Configure a new AWS CodePipelme service Create a CodeCommit repository for each environment Set up CodePipeline to retrieve the source code from the appropriate repository Set up the deployment step to deploy the Lambda functions with AWS CloudFormation.
D. Create an AWS CodeBuild configuration for test and production environments Configure the production pipeline to have a manual approval step. Create one CodeCommit repository with a branch for each environment Push the Lambda function code to an Amazon S3 bucket Set up the deployment step to deploy the Lambda functions from the S3 bucket.

Answer: A

Explanation:
Explanation
The correct approach to meet the requirements for separate environment pipelines and automatic deployment for test environments is to create two AWS CodePipeline configurations, one for each environment. The production pipeline should have a manual approval step to ensure that changes are reviewed before being deployed to production. A single AWS CodeCommit repository with separate branches for each environment allows for organized and efficient code management. Each CodePipeline retrieves the source code from the appropriate branch in the repository. The deployment step utilizes AWS CloudFormation to deploy the Lambda functions, ensuring that the infrastructure as code is maintained and version-controlled.
References:
* AWS Lambda with Amazon API Gateway: Using AWS Lambda with Amazon API Gateway
* Tutorial on using Lambda with API Gateway: Tutorial: Using Lambda with API Gateway
* AWS CodePipeline automatic deployment: Set Up a Continuous Deployment Pipeline Using AWS CodePipeline
* Building a pipeline for test and production stacks: Walkthrough: Building a pipeline for test and production stacks

NEW QUESTION # 339
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