DOP-C01 試験対策 - Amazon AWS Certified DevOps Engineer Professional 赤本合格率 - Royalholidayclubbed

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こうして、君は安心で試験の準備を行ってください。弊社の資料を使って、１００％に合格を保証いたします。もし合格しないと、われは全額で返金いたします。がAmazonのDOP-C01試験対策「AWS Certified DevOps Engineer - Professional」認定試験の合格書を取ったら仕事の上で大きな変化をもたらします。AmazonのDOP-C01試験対策認定試験の最新教育資料はRoyalholidayclubbedの専門チームが研究し続けてついに登場し、多くの人の夢が実現させることができます。 Amazon DOP-C01試験対策「AWS Certified DevOps Engineer - Professional」認証試験に合格することが簡単ではなくて、Amazon DOP-C01試験対策証明書は君にとってはIT業界に入るの一つの手づるになるかもしれません。

AWS Certified DevOps Engineer DOP-C01 その夢は私にとってはるか遠いです。

AWS Certified DevOps Engineer DOP-C01試験対策 - AWS Certified DevOps Engineer - Professional あなたの独自の品質を向上させるだけでなく、完璧な人生価値を実現することも助けます。あなたの夢は何ですか。あなたのキャリアでいくつかの輝かしい業績を行うことを望まないのですか。

空想は人間が素晴らしいアイデアをたくさん思い付くことができますが、行動しなければ何の役に立たないのです。AmazonのDOP-C01試験対策認定試験に合格のにどうしたらいいかと困っているより、パソコンを起動して、Royalholidayclubbedをクリックしたほうがいいです。Royalholidayclubbedのトレーニング資料は１００パーセントの合格率を保証しますから、あなたのニーズを満たすことができます。

Amazon DOP-C01試験対策 - 今教えてあげますよ。

DOP-C01試験対策認定試験の資格を取得するのは容易ではないことは、すべてのIT職員がよくわかっています。しかし、DOP-C01試験対策認定試験を受けて資格を得ることは自分の技能を高めてよりよく自分の価値を証明する良い方法ですから、選択しなければならならないです。ところで、受験生の皆さんを簡単にIT認定試験に合格させられる方法がないですか。もちろんありますよ。Royalholidayclubbedの問題集を利用することは正にその最良の方法です。Royalholidayclubbedはあなたが必要とするすべてのDOP-C01試験対策参考資料を持っていますから、きっとあなたのニーズを満たすことができます。Royalholidayclubbedのウェブサイトに行ってもっとたくさんの情報をブラウズして、あなたがほしい試験DOP-C01試験対策参考書を見つけてください。

AmazonのDOP-C01試験対策認定試験を受験する気があるのですか。この試験を受けた身の回りの人がきっと多くいるでしょう。

DOP-C01 PDF DEMO:

QUESTION NO: 1
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: 2
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: 3
A company is migrating an application to AWS that runs on a single Amazon EC2 instance.
Because of licensing limitations, the application does not support horizontal scaling. The application will be using Amazon Aurora for its database.
How can the DevOps Engineer architect automated healing to automatically recover from EC2 and
Aurora failures, in addition to recovering across Availability Zones (AZs), in the MOST cost-effective manner?
A. Create an EC2 instance and enable instance recovery. Create an Aurora database with a read replica in a second AZ, and promote it to a primary database instance if the primary database instance fails.
B. Create an Amazon CloudWatch Events rule to trigger an AWS Lambda function to start a new EC2 instance in an available AZ when the instance status reaches a failure state. Create an Aurora database with a read replica in a second AZ, and promote it to a primary database instance when the primary database instance fails.
C. Create an EC2 Auto Scaling group with a minimum and maximum instance count of 1, and have it span across AZs. Use a single-node Aurora instance.
D. Assign an Elastic IP address on the instance. Create a second EC2 instance in a second AZ. Create an Amazon CloudWatch Events rule to trigger an AWS Lambda function to move the Elastic IP address to the second instance when the first instance fails. Use a single-node Aurora instance.
Answer: B

QUESTION NO: 4
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: 5
A DevOps Engineer must create a Linux AMI in an automated fashion. The newly created AMI identification must be stored in a location where other build pipelines can access the new identification programmatically What is the MOST cost-effective way to do this?
A. Build a pipeline in AWS CodePipeline to download and save the latest operating system Open
Virtualization Format (OVF) image to an Amazon S3 bucket, then customize the image using the guestfish utility. Use the virtual machine (VM) import command to convert the OVF to an AMI, and store the AMI identification output as an AWS Systems Manager parameter.
B. Create an AWS Systems Manager automation document with values instructing how the image should be created. Then build a pipeline in AWS CodePipeline to execute the automation document to build the AMI when triggered. Store the AMI identification output as a Systems Manager parameter.
C. Launch an Amazon EC2 instance and install Packer. Then configure a Packer build with values defining how the image should be created. Build a Jenkins pipeline to invoke the Packer build when triggered to build an AMI. Store the AMI identification output in an Amazon DynamoDB table.
D. Build a pipeline in AWS CodePipeline to take a snapshot of an Amazon EC2 instance running the latest version of the application. Then start a new EC2 instance from the snapshot and update the running instance using an AWS Lambda function. Take a snapshot of the updated instance, then convert it to an AMI. Store the AMI identification output in an Amazon DynamoDB table.
Answer: C

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Updated: May 28, 2022

by RHC.

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