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Amazon DOP-C02 (AWS Certified DevOps Engineer - Professional) Exam is a certification exam that is designed for professionals who want to demonstrate their expertise in DevOps practices and AWS technologies. DOP-C02 exam is intended for individuals who have a deep understanding of the core principles and practices of DevOps, as well as proficiency in the deployment, management, and operation of AWS services.

The DOP-C02 Certification Exam is intended for professionals who have already achieved the AWS Certified Developer - Associate or AWS Certified SysOps Administrator - Associate certification. To be eligible for the exam, candidates must have at least two years of experience in deploying and managing AWS-based applications using DevOps practices.

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Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q195-Q200):

NEW QUESTION # 195
A company uses containers for its applications The company learns that some container Images are missing required security configurations A DevOps engineer needs to implement a solution to create a standard base image The solution must publish the base image weekly to the us-west-2 Region, us-east-2 Region, and eu-central-1 Region.
Which solution will meet these requirements?

A. Create an AWS CodePipeline pipeline that uses an AWS CodeBuild project to build the image Use AWS CodeDeploy to publish the image to Amazon Elastic Container Registry (Amazon ECR) repositories in all three Regions. Configure the pipeline to run weekly.
B. Create an AWS CodePipeline pipeline that uses an AWS CodeBuild project to build the image Use AWS CodeOeploy to publish the image to an Amazon Elastic Container Registry (Amazon ECR) repository in us-west-2 Configure ECR replication from us-west-2 to us-east-2 and from us-east-2 to eu- central-1 Configure the pipeline to run weekly
C. Create an EC2 Image Builder pipeline that uses a container recipe to build the Image Configure the pipeline to distribute the image to Amazon Elastic Container Registry (Amazon ECR) repositories in all three Regions. Configure the pipeline to run weekly.
D. Create an EC2 Image Builder pipeline that uses a container recipe to build the image. Configure the pipeline to distribute the image to an Amazon Elastic Container Registry (AmazonECR) repository in us-west-2. Configure ECR replication from us-west-2 to us-east-2 and from us-east-2 to eu-central-1 Configure the pipeline to run weekly

Answer: C

Explanation:
* Create an EC2 Image Builder Pipeline that Uses a Container Recipe to Build the Image:
* EC2 Image Builder simplifies the creation, maintenance, validation, and sharing of container images.
* By using a container recipe, you can define the base image, components, and validation tests for your container image.
* Configure the Pipeline to Distribute the Image to Amazon Elastic Container Registry (Amazon ECR) Repositories in All Three Regions:
* Amazon ECR provides a secure, scalable, and reliable container registry.
* Configuring the pipeline to distribute the image to ECR repositories in us-west-2, us-east-2, and eu-central-1 ensures that the image is available in all required regions.
* Configure the Pipeline to Run Weekly:
* Setting the pipeline to run on a weekly schedule ensures that the base image is regularly updated and published, incorporating any new security configurations or updates.
By using EC2 Image Builder to automate the creation and distribution of the container image, the solution ensures that the base image is consistently maintained and available across multiple regions with minimal management overhead.
References:
* EC2 Image Builder
* Amazon ECR
* Setting Up EC2 Image Builder Pipelines

NEW QUESTION # 196
A DevOps engineer manages a company's Amazon Elastic Container Service (Amazon ECS) cluster. The cluster runs on several Amazon EC2 instances that are in an Auto Scaling group. The DevOps engineer must implement a solution that logs and reviews all stopped tasks for errors.
Which solution will meet these requirements?

A. Configure an EC2 Auto Scaling lifecycle hook for the EC2_INSTANCE_TERMINATING scale-in event. Write the SystemEventLog file to Amazon S3. Use Amazon Athena to query the log file for errors.
B. Configure tasks to write log data in the embedded metric format. Store the logs in Amazon CloudWatch Logs. Monitor the ContainerInstanceCount metric for changes.
C. Create an Amazon EventBridge rule to capture task state changes. Send the event to Amazon CloudWatch Logs. Use CloudWatch Logs Insights to investigate stopped tasks.
D. Configure the EC2 instances to store logs in Amazon CloudWatch Logs. Create a CloudWatch Contributor Insights rule that uses the EC2 instance log data. Use the Contributor Insights rule to investigate stopped tasks.

Answer: C

Explanation:
The best solution to log and review all stopped tasks for errors is to use Amazon EventBridge and Amazon CloudWatch Logs. Amazon EventBridge allows the DevOps engineer to create a rule that matches task state change events from Amazon ECS. The rule can then send the event data to Amazon CloudWatch Logs as the target. Amazon CloudWatch Logs can store and monitor the log data, and also provide CloudWatch Logs Insights, a feature that enables the DevOps engineer to interactively search and analyze the log data. Using CloudWatch Logs Insights, the DevOps engineer can filter and aggregate the log data based on various fields, such as cluster, task, container, and reason. This way, the DevOps engineer can easily identify and investigate the stopped tasks and their errors.
The other options are not as effective or efficient as the solution in option A. Option B is not suitable because the embedded metric format is designed for custom metrics, not for logging task state changes. Option C is not feasible because the EC2 instances do not store the task state change events in their logs. Option D is not relevant because the EC2_INSTANCE_TERMINATING lifecycle hook is triggered when an EC2 instance is terminated by the Auto Scaling group, not when a task is stopped by Amazon ECS.
Reference:
1: Creating a CloudWatch Events Rule That Triggers on an Event - Amazon Elastic Container Service
2: Sending and Receiving Events Between AWS Accounts - Amazon EventBridge
3: Working with Log Data - Amazon CloudWatch Logs
4: Analyzing Log Data with CloudWatch Logs Insights - Amazon CloudWatch Logs
5: Embedded Metric Format - Amazon CloudWatch
6: Amazon EC2 Auto Scaling Lifecycle Hooks - Amazon EC2 Auto Scaling

NEW QUESTION # 197
A company that uses electronic health records is running a fleet of Amazon EC2 instances with an Amazon Linux operating system. As part of patient privacy requirements, the company must ensure continuous compliance for patches for operating system and applications running on the EC2 instances.
How can the deployments of the operating system and application patches be automated using a default and custom repository?

A. Use yum-config-manager to add the custom repository under /etc/yum.repos.d and run yum-config-manager-enable to activate the repository.
B. Use AWS Systems Manager to create a new patch baseline including the corporate repository. Run the AWS-AmazonLinuxDefaultPatchBaseline document using the run command to verify and install patches.
C. Use AWS Systems Manager to create a new patch baseline including the custom repository. Run the AWS-RunPatchBaseline document using the run command to verify and install patches.
D. Use AWS Direct Connect to integrate the corporate repository and deploy the patches using Amazon CloudWatch scheduled events, then use the CloudWatch dashboard to create reports.

Answer: C

Explanation:
Explanation
https://docs.aws.amazon.com/systems-manager/latest/userguide/patch-manager-how-it-works-alt-source-reposito

NEW QUESTION # 198
A development team wants to use AWS CloudFormation stacks to deploy an application. However, the developer IAM role does not have the required permissions to provision the resources that are specified in the AWS CloudFormation template. A DevOps engineer needs to implement a solution that allows the developers to deploy the stacks. The solution must follow the principle of least privilege.
Which solution will meet these requirements?

A. Create an IAM policy that allows the developers to provision the required resources. Attach the policy to the developer IAM role.
B. Create an AWS CloudFormation service role that has the required permissions. Grant the developer IAM role a cloudformation:* action. Use the new service role during stack deployments.
C. Create an AWS CloudFormation service role that has the required permissions. Grant the developer IAM role the iam:PassRole permission. Use the new service role during stack deployments.
D. Create an IAM policy that allows full access to AWS CloudFormation. Attach the policy to the developer IAM role.

Answer: C

Explanation:
https://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/using-iam-servicerole.html

NEW QUESTION # 199
A space exploration company receives telemetry data from multiple satellites. Small packets of data are received through Amazon API Gateway and are placed directly into an Amazon Simple Queue Service (Amazon SQS) standard queue. A custom application is subscribed to the queue and transforms the data into a standard format.
Because of inconsistencies in the data that the satellites produce, the application is occasionally unable to transform the dat a. In these cases, the messages remain in the SQS queue. A DevOps engineer must develop a solution that retains the failed messages and makes them available to scientists for review and future processing.
Which solution will meet these requirements?

A. Convert the SQS standard queue to an SQS FIFO queue. Configure AWS Lambda to poll the SQS queue every 10 minutes by using an Amazon EventBridge schedule. Invoke the Lambda function to identify any messages with a SentTimestamp value that is older than 5 minutes, push the data to the same location as the application's output location, and remove the messages from the queue.
B. Configure API Gateway to send messages to different SQS virtual queues that are named for each of the satellites. Update the application to use a new virtual queue for any data that it cannot transform, and send the message to the new virtual queue. Instruct the scientists to use the virtual queue to review the data that is not valid. Reprocess this data at a later time.
C. Create an SQS dead-letter queue. Modify the existing queue by including a redrive policy that sets the Maximum Receives setting to 1 and sets the dead-letter queue ARN to the ARN of the newly created queue. Instruct the scientists to use the dead-letter queue to review the data that is not valid. Reprocess this data at a later time.
D. Configure AWS Lambda to poll the SQS queue and invoke a Lambda function to check whether the queue messages are valid. If validation fails, send a copy of the data that is not valid to an Amazon S3 bucket so that the scientists can review and correct the data. When the data is corrected, amend the message in the SQS queue by using a replay Lambda function with the corrected data.

Answer: C

Explanation:
Create an SQS dead-letter queue. Modify the existing queue by including a redrive policy that sets the Maximum Receives setting to 1 and sets the dead-letter queue ARN to the ARN of the newly created queue. Instruct the scientists to use the dead-letter queue to review the data that is not valid. Reprocess this data at a later time.

NEW QUESTION # 200
......

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DOP-C02 Reliable Dumps Ebook | Valid Braindumps DOP-C02 Pdf

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Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q195-Q200):

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