DOP-C01 受験記対策 & Amazon AWS Certified DevOps Engineer Professional 復習教材 - Omgzlook

Omgzlookを選ぶなら、成功を選ぶのに等しいです。時代の発展に伴い、人間的な文明が発展し、Omgzlookも発展しています。Omgzlookは君の早くAmazonのDOP-C01受験記対策認定試験に合格するために、きみのもっと輝い未来のために、君の他人に羨ましいほど給料のために、ずっと努力しています。 AmazonのDOP-C01受験記対策認定試験に合格することはきっと君の職業生涯の輝い将来に大変役に立ちます。Omgzlookを選ぶなら、君がAmazonのDOP-C01受験記対策認定試験に合格するということできっと喜んでいます。 それを利用したら、君のAmazonのDOP-C01受験記対策認定試験に合格するのは問題ありません。

AWS Certified DevOps Engineer DOP-C01 あなたは心配する必要がないです。

Omgzlookの専門家チームがAmazonのDOP-C01 - AWS Certified DevOps Engineer - Professional受験記対策認証試験に対して最新の短期有効なトレーニングプログラムを研究しました。 君の明るい将来を祈っています。みなさんにOmgzlookを選ぶのはより安心させるためにOmgzlookは部分のAmazon DOP-C01 試験問題「AWS Certified DevOps Engineer - Professional」試験材料がネットで提供して、君が無料でダウンロードすることができます。

OmgzlookのAmazonのDOP-C01受験記対策認証試験について最新な研究を完成いたしました。無料な部分ダウンロードしてください。きっと君に失望させないと信じています。

安心にAmazon DOP-C01受験記対策試験を申し込みましょう。

社会と経済の発展につれて、多くの人はIT技術を勉強します。なぜならば、IT職員にとって、AmazonのDOP-C01受験記対策資格証明書があるのは肝心な指標であると言えます。自分の能力を証明するために、DOP-C01受験記対策試験に合格するのは不可欠なことです。弊社のDOP-C01受験記対策真題を入手して、試験に合格する可能性が大きくなります。

従って、すぐに自分の弱点や欠点を識別することができ、正しく次のDOP-C01受験記対策学習内容を手配することもできます。あなたに最大の利便性を与えるために、Omgzlookは様々なバージョンの教材を用意しておきます。

DOP-C01 PDF DEMO:

QUESTION NO: 1
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: 2
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: 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
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

QUESTION NO: 5
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

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Updated: May 28, 2022