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Amazon DOP-C02 exam consists of 75 multiple-choice and multiple-response questions, and the exam duration is 180 minutes. DOP-C02 exam fee is $300, and it can be taken at a testing center or online with a remote proctor. DOP-C02 exam covers various topics, such as designing and managing continuous delivery systems, monitoring and logging systems, implementing and managing security and compliance, and troubleshooting issues. Passing DOP-C02 exam demonstrates that an individual has the knowledge and skills to design, deploy, and manage highly available, scalable, and fault-tolerant systems on AWS.

Amazon DOP-C02 Exam is one of the most sought-after certifications for professionals in the field of DevOps. It is a professional-level certification that is intended for individuals who are already working in the field of DevOps and have extensive experience in deploying, operating, and managing AWS environments. The DOP-C02 exam is designed to test the candidate's knowledge and skills in designing, managing, and operating AWS environments at a professional level.

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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.

Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q444-Q449):

NEW QUESTION # 444
A company's web app runs on EC2 with a relational database. The company wants highly available multi- Region architecture with latency-based routing for global customers.
Which solution meets these requirements?

A. Elastic Beanstalk with ALB in each Region; Aurora global database with read replicas; CloudFront with custom origins for ALBs; Route 53 latency-based routing to CloudFront.
B. ALB in each Region with Auto Scaling groups; RDS primary in one Region with read replicas in others; Route 53 failover routing to ALBs.
C. Elastic Beanstalk with ALB in each Region; RDS primary in one Region with read replicas; CloudFront with custom origins for ALBs; Route 53 failover routing to CloudFront.
D. ALB in each Region with Auto Scaling groups; Aurora global database with read replicas; Route 53 latency-based routing to ALBs.

Answer: D

Explanation:
* ALBs with Auto Scaling across AZs ensure high availability in each Region.
* Aurora global database supports cross-Region read replicas with low latency for reads and is recommended for multi-Region high availability.
* Route 53 latency-based routing sends users to the closest Region.
* RDS without global database (Options B, D) has higher replication lag and less resilience.
* Using CloudFront in front of ALBs (Options C and D) adds caching but is not required for latency- based routing and increases complexity.
References:
Amazon Aurora Global Database
Route 53 Latency Routing

NEW QUESTION # 445
A DevOps engineer manages an AWS CodePipeline pipeline that builds and deploys a web application on AWS. The pipeline has a source stage, a build stage, and a deploy stage. When deployed properly, the web application responds with a 200 OK HTTP response code when the URL of the home page is requested.
The home page recently returned a 503 HTTP response code after CodePipeline deployed the application. The DevOps engineer needs to add an automated test into the pipeline. The automated test must ensure that the application returns a 200 OK HTTP response code after the application is deployed. The pipeline must fail if the response code is not present during the test.
The DevOps engineer has added a CheckURL stage after the deploy stage in the pipeline.
What should the DevOps engineer do next to implement the automated test?

A. Create an AWS Lambda function to check the response code status of the URL and to report a success or failure to CodePipeline. Configure an action in the CheckURL stage to invoke the Lambda function.
B. Configure the CheckURL stage to use an AWS CodeDeploy action. Configure the action with an input artifact that is the URL of the application and to report a success or failure to CodePipeline.
C. Deploy an Amazon API Gateway HTTP API that checks the response code status of the URL and that reports success or failure to CodePipeline. Configure the CheckURL stage to use the AWS Device Farm test action and to provide the API Gateway HTTP API as an input artifact.
D. Configure the CheckURL stage to use an Amazon CloudWatch action. Configure the action to use a canary synthetic monitoring check on the application URL and to report a success or failure to CodePipeline.

Answer: A

Explanation:
Comprehensive and Detailed Explanation From Exact Extract:
To add an automated test in AWS CodePipeline that checks the HTTP response code of a deployed application, the most straightforward and operationally efficient method is to create an AWS Lambda function that makes an HTTP request to the application URL, checks the response code, and then reports success or failure back to CodePipeline.
* The Lambda function can be invoked as an action in the pipeline stage.
* If the response code is not 200 OK, the Lambda function can return a failure, causing the pipeline stage to fail and halt further execution.
* Option A's CloudWatch synthetic canary monitors are useful for ongoing monitoring but are not natively integrated as CodePipeline actions to control pipeline flow.
* Option C incorrectly uses CodeDeploy action for testing, which is not designed for this purpose.
* Option D introduces unnecessary complexity by deploying API Gateway and Device Farm, which is not required for a simple HTTP status check.Therefore, option B provides a clean, simple, and fully automated way to enforce HTTP response validation within the pipeline.
Reference from AWS Official Documentation:
* AWS CodePipeline Custom Actions:"You can create Lambda invoke actions in your pipeline stages to run custom validation or testing functions."(AWS CodePipeline User Guide - Lambda Actions)
* AWS Lambda Function for Health Checks:"Lambda functions can be used to perform health checks or API response validations and report results back to invoking services."(AWS Lambda Developer Guide)

NEW QUESTION # 446
A company is running a custom-built application that processes records. All the components run on Amazon EC2 instances that run in an Auto Scaling group. Each record's processing is a multistep sequential action that is compute-intensive. Each step is always completed in 5 minutes or less.
A limitation of the current system is that if any steps fail, the application has to reprocess the record from the beginning The company wants to update the architecture so that the application must reprocess only the failed steps.
What is the MOST operationally efficient solution that meets these requirements?

A. Create a web application to pass records to an Amazon Kinesis data stream. Decouple the processing by using the Kinesis data stream and AWS Lambda functions.
B. Perform the processing steps by using logic in the application. Convert the application code to run in a container. Use AWS Fargate to manage the container Instances. Configure the container to invoke itself to pass the state from one step to the next.
C. Create a web application to write records to Amazon S3 Use S3 Event Notifications to publish to an Amazon Simple Notification Service (Amazon SNS) topic Use an EC2 instance to poll Amazon SNS and start processing Save intermediate results to Amazon S3 to pass on to the next step
D. Create a web application to pass records to AWS Step Functions. Decouple the processing into Step Functions tasks and AWS Lambda functions.

Answer: D

Explanation:
Use AWS Step Functions to Orchestrate Processing:
* AWS Step Functions allow you to build distributed applications by combining AWS Lambda functions or other AWS services into workflows.
* Decoupling the processing into Step Functions tasks enables you to retry individual steps without reprocessing the entire record.
Architectural Steps:
* Create a web applicationto pass records to AWS Step Functions:
* The web application can be a simple frontend that receives input and triggers the Step Functions workflow.
* Define a Step Functions state machine:
* Each step in the state machine represents a processing stage. If a step fails, Step Functions can retry the step based on defined conditions.
* Use AWS Lambda functions:
* Lambda functions can be used to handle each processing step. These functions can be stateless and handle specific tasks, reducing the complexity of error handling and reprocessing logic.
Operational Efficiency:
* Using Step Functions and Lambda improves operational efficiency by providing built-in error handling, retries, and state management.
* This architecture scales automatically and isolates failures to individual steps, ensuring only failed steps are retried.
References:
* AWS Step Functions
* Building Workflows with Step Functions

NEW QUESTION # 447
A DevOps engineer used an AWS Cloud Formation custom resource to set up AD Connector. The AWS Lambda function ran and created AD Connector, but Cloud Formation is not transitioning from CREATE_IN_PROGRESS to CREATE_COMPLETE.
Which action should the engineer take to resolve this issue?

A. Ensure the Lambda function code returns a response to the pre-signed URL.
B. Ensure the Lambda function IAM role has ds ConnectDirectory permissions for the AWS account.
C. Ensure the Lambda function code has exited successfully.
D. Ensure the Lambda function IAM role has cloudformation UpdateStack permissions for the stack ARN.

Answer: A

Explanation:
Reference: https://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/crpg-ref-responses.html

NEW QUESTION # 448
A company has a search application that has a web interface. The company uses Amazon CloudFront, Application Load Balancers (ALBs), and Amazon EC2 instances in an Auto Scaling group with a desired capacity of 3. The company uses prebaked AMIs. The application starts in 1 minute. The application queries an Amazon OpenSearch Service cluster. The application is deployed to multiple Availability Zones. Because of compliance requirements, the application needs to have a disaster recovery (DR) environment in a separate AWS Region. The company wants to minimize the ongoing cost of the DR environment and requires an RTO and an RPO of under 30 minutes. The company has created an ALB in the DR Region. Which solution will meet these requirements?

A. Create a new CloudFront distribution in the DR Region and add the new ALB as an origin. Use Amazon Route 53 DNS for Regional failover. Copy the AMI to the DR Region. Create a launch template and an Auto Scaling group with a desired capacity of 3 in the DR Region. Reconfigure the OpenSearch Service cluster as a Multi-AZ with Standby deployment. Ensure that the standby nodes are in the DR Region.
B. Create a new CloudFront distribution in the DR Region and add the new ALB as an origin. Use Amazon Route 53 DNS for Regional failover. Copy the AMI to the DR Region. Create a launch template and an Auto Scaling group with a desired capacity of 0 in the DR Region. Reconfigure the OpenSearch Service cluster as a Multi-AZ with Standby deployment. Ensure that the standby nodes are in the DR Region.
C. Add the new ALB as an origin in the CloudFront distribution. Configure origin failover functionality. Copy the AMI to the DR Region. Create a launch template and an Auto Scaling group with a desired capacity of 3 in the DR Region. Create a new OpenSearch Service cluster in the DR Region. Set up cross-cluster replication for the cluster.
D. Add the new ALB as an origin in the CloudFront distribution. Configure origin failover functionality. Copy the AMI to the DR Region. Create a launch template and an Auto Scaling group with a desired capacity of 0 in the DR Region. Create a new OpenSearch Service cluster in the DR Region. Set up cross-cluster replication for the cluster.

Answer: D

NEW QUESTION # 449
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