現在IT技術会社に通勤しているあなたは、AmazonのDOP-C01最新資料試験認定を取得しましたか？DOP-C01最新資料試験認定は給料の増加とジョブのプロモーションに役立ちます。短時間でDOP-C01最新資料試験に一発合格したいなら、我々社のAmazonのDOP-C01最新資料資料を参考しましょう。また、DOP-C01最新資料問題集に疑問があると、メールで問い合わせてください。 Shobhadoshiの専門家チームがAmazonのDOP-C01最新資料認定試験に彼らの自分の経験と知識を利用して絶えなく研究し続けています。Shobhadoshiが提供したAmazonのDOP-C01最新資料試験問題と解答が真実の試験の練習問題と解答は最高の相似性があり、一年の無料オンラインの更新のサービスがあり、100%のパス率を保証して、もし試験に合格しないと、弊社は全額で返金いたします。 人によって目標が違いますが、あなたにAmazon　DOP-C01最新資料試験に順調に合格できるのは我々の共同の目標です。

AWS Certified DevOps Engineer DOP-C01 やってみて購入します。

AWS Certified DevOps Engineer DOP-C01最新資料 - AWS Certified DevOps Engineer - Professional 常々、時間とお金ばかり効果がないです。 IT業界で発展したいなら、AmazonのDOP-C01 最新関連参考書試験のような国際的な試験に合格するのは重要です。我々ShobhadoshiはITエリートの皆さんの努力であなたにAmazonのDOP-C01 最新関連参考書試験に速く合格する方法を提供します。

Shobhadoshiは多くの受験生を助けて彼らにAmazonのDOP-C01最新資料試験に合格させることができるのは我々専門的なチームがAmazonのDOP-C01最新資料試験を研究して解答を詳しく分析しますから。試験が更新されているうちに、我々はAmazonのDOP-C01最新資料試験の資料を更新し続けています。できるだけ100％の通過率を保証使用にしています。

Amazon DOP-C01最新資料 - 暇の時間を利用して勉強します。

DOP-C01最新資料問題集は唯一無にな参考資料です。DOP-C01最新資料問題集の内容は専門的かつ全面的で、覚えやすいです。また、DOP-C01最新資料問題集は的中率が高いです。そのいくつの点で、DOP-C01最新資料試験に合格することを保障できます。もし、お客様はDOP-C01最新資料問題集を買うとき、自分に適するかどうかという心配があります。その心配に対して、弊社はお客様に無料でDOP-C01最新資料問題集のデモを提供します。そうしたら、お客様はDOP-C01最新資料問題集を購入する前にデモをダウンロードしてやってみることができます。

そして、DOP-C01最新資料試験参考書の問題は本当の試験問題とだいたい同じことであるとわかります。DOP-C01最新資料試験参考書があれば,ほかの試験参考書を勉強する必要がないです。

DOP-C01 PDF DEMO:

QUESTION NO: 1
A company has developed an AWS Lambda function that handles orders received through an
API. The company is using AWS CodeDeploy to deploy the Lambda function as the final stage of a
CI/CD pipeline. A DevOps Engineer has notices there are intermittent failures of the ordering API for a few seconds after deployment. After some investigation, the DevOps Engineer believes the failures are due to database changes the CloudFormation stack for the application lambda function begins executing. How should the DevOps Engineer overcome this?
A. Add a BeforeAllowTraffic hook to the AppSpec file that tests and waits for any necessary database changes before traffic can flow to the new version of the Lambda function
B. Add an AfterAllowTraffic hook to the AppSpec file that forces traffic to wait for any pending database changes before allowing the new version of the Lambda function to respond
C. Add a ValidateService hook to the AppSpec file that inspects incoming traffic and rejects the payload if dependent services such as the database are not yet ready
D. Add a BeforeInstall hook to the AppSpec file that tests and waits for any necessary database changes before deploying the new version of the Lambda function
Answer: B

QUESTION NO: 2
A Security team is concerned that a Developer can unintentionally attach an Elastic IP address to an Amazon EC2 instance in production. No Developer should be allowed to attach an Elastic IP address to an instance.
The Security team must be notified if any production server has an Elastic IP address at any time.
How can this task be automated?
A. Ensure that all IAM groups are associated with Developers do not have associate-address permissions.
Create a scheduled AWS Lambda function to check whether an Elastic IP address is associated with any instance tagged as production, and alert the Security team if an instance has an Elastic IP address associated with it.
B. Create an AWS Config rule to check that all production instances have the EC2 IAM roles that include deny associate-address permissions. Verify whether there is an Elastic IP address associated with any instance, and alert the Security team if an instance has an Elastic IP address associated with it.
C. Use Amazon Athena to query AWS CloudTrail logs to check for any associate-address attempts.
Create an AWS Lambda function to dissociate the Elastic IP address from the instance, and alert the
Security team.
D. Attach an IAM policy to the Developer's IAM group to deny associate-address permissions. Create a custom AWS Config rule to check whether an Elastic IP address is associated with any instance tagged as production, and alert the Security team.
Answer: D

QUESTION NO: 3
A company has an application that has predictable peak traffic times. The company wants the application instances to scale up only during the peak times. The application stores state in Amazon
DynamoDB. The application environment uses a standard Node.js application stack and custom Chef recipes stored in a private Git repository.
Which solution is MOST cost-effective and requires the LEAST amount of management overhead when performing rolling updates of the application environment?
A. Configure AWS OpsWorks stacks and push the custom recipes to an Amazon S3 bucket and configure custom recipes to point to the S3 bucket. Then add an application layer type for a standard
Node.js application server and configure the custom recipe to deploy the application in the deploy step from the S3 bucket. Configure time-based instances and attach an Amazon EC2 IAM role that provides permission to access DynamoDB
B. Create a custom AMI with the Node.js environment and application stack using Chef recipes. Use the AMI in an Auto Scaling group and set up scheduled scaling for the required times, then set up an
Amazon EC2 IAM role that provides permission to access DynamoDB.
C. Create a Docker file that uses the Chef recipes for the application environment based on an official
Node.js Docker image. Create an Amazon ECS cluster and a service for the application environment, then create a task based on this Docker image. Use scheduled scaling to scale the containers at the appropriate times and attach a task-level IAM role that provides permission to access DynamoD
D. Configure AWS OpsWorks stacks and use custom Chef cookbooks. Add the Git repository information where the custom recipes are stored, and add a layer in OpsWorks for the Node.js application server.
Then configure the custom recipe to deploy the application in the deploy step. Configure time-based instances and attach an Amazon EC2 IAM role that provides permission to access DynamoDB.
Answer: A

QUESTION NO: 4
A DevOps Engineer manages a web application that runs on Amazon EC2 instances behind an
Application Load Balancer (ALB). The instances run in an EC2 Auto Scaling group across multiple
Availability Zones.
The Engineer needs to implement a deployment strategy that:
Launches a second fleet of instances with the same capacity as the original fleet.
Maintains the original fleet unchanged while the second fleet is launched.
Transitions traffic to the second fleet when the second fleet is fully deployed.
Terminates the original fleet automatically 1 hour after transition.
Which solution will satisfy these requirements?
A. Use AWS Elastic Beanstalk with the configuration set to Immutable. Create an .ebextension using the Resources key that sets the deletion policy of the ALB to 1 hour, and deploy the application.
B. Use an AWS CloudFormation template with a retention policy for the ALB set to 1 hour. Update the Amazon Route 53 record to reflect the new ALB.
C. Use AWS CodeDeploy with a deployment group configured with a blue/green deployment configuration. Select the option Terminate the original instances in the deployment group with a waiting period of 1 hour.
D. Use two AWS Elastic Beanstalk environments to perform a blue/green deployment from the original environment to the new one. Create an application version lifecycle policy to terminate the original environment in 1 hour.
Answer: D

QUESTION NO: 5
An Application team is refactoring one of its internal tools to run in AWS instead of on- premises hardware.
All of the code is currently written in Python and is standalone. There is also no external state store or relational database to be queried.
Which deployment pipeline incurs the LEAST amount of changes between development and production?
A. Developers should use their native Python environment. When Dependencies are changed and a new container is ready, use AWS CodePipeline and AWS CodeBuild to perform functional tests and then upload the new container to the Amazon ECR. Use AWS CloudFormation with the custom container to deploy the new Amazon ECS.
B. Developers should use Docker for local development. Use AWS SMS to import these containers as
AMIs for Amazon EC2 whenever dependencies are updated. Use AWS CodePipeline to test new code changes against the Auto Scaling group.
C. Developers should use their native Python environment. When Dependencies are changed and a new code is ready, use AWS CodePipeline and AWS CodeBuild to perform functional tests and then upload the new container to the Amazon ECR. Use CodePipeline and CodeBuild with the custom container to test new code changes inside AWS Elastic Beanstalk
Answer: B

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Updated: May 28, 2022