あなたに高品質で、全面的なDOP-C01日本語版復習資料参考資料を提供することは私たちの責任です。私たちより、DOP-C01日本語版復習資料試験を知る人はいません。あなたはDOP-C01日本語版復習資料試験に不安を持っていますか？DOP-C01日本語版復習資料参考資料をご覧下さい。 もしうちの学習教材を購入した後、認定試験に不合格になる場合は、全額返金することを保証いたします。OmgzlookのAmazonのDOP-C01日本語版復習資料試験トレーニング資料は君の成功に導く鍵で、君のIT業種での発展にも助けられます。 Omgzlookはきみの貴重な時間を節約するだけでなく、 安心で順調に試験に合格するのを保証します。
AWS Certified DevOps Engineer DOP-C01 あなたが安心で試験のために準備すればいいです。
AWS Certified DevOps Engineer DOP-C01日本語版復習資料 - AWS Certified DevOps Engineer - Professional そうしたらあなたはOmgzlookが用意した問題集にもっと自信があります。 あなたに安心させるために、我々のソフトを利用してあなたが試験に失敗したら、我々は全額で返金するのを承諾してよりよいAmazonのDOP-C01 合格資料ソフトを開発し続けます。我々Omgzlookが自分のソフトに自信を持つのは我々のAmazonのDOP-C01 合格資料ソフトでAmazonのDOP-C01 合格資料試験に参加する皆様は良い成績を取りましたから。
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Amazon DOP-C01日本語版復習資料問題集を利用して試験に合格できます。
IT技術の急速な発展につれて、IT認証試験の問題は常に変更されています。したがって、OmgzlookのDOP-C01日本語版復習資料問題集も絶えずに更新されています。それに、Omgzlookの教材を購入すれば、Omgzlookは一年間の無料アップデート・サービスを提供してあげます。問題が更新される限り、Omgzlookは直ちに最新版のDOP-C01日本語版復習資料資料を送ってあげます。そうすると、あなたがいつでも最新バージョンの資料を持っていることが保証されます。Omgzlookはあなたが試験に合格するのを助けることができるだけでなく、あなたは最新の知識を学ぶのを助けることもできます。このような素晴らしい資料をぜひ見逃さないでください。
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DOP-C01 PDF DEMO:
QUESTION NO: 1
Am Amazon EC2 instance with no internet access is running in a Virtual Private Cloud (VPC) and needs to download an object from a restricted Amazon S3 bucket. When the DevOps Engineer tries to gain access to the object, an Access Denied error is received.
What are the possible causes for this error? (Select THREE.)
A. There is an error in the S3 bucket policy.
B. S3 versioning is enabled.
C. The object has been moved to Amazon Glacier.
D. There is an error in the VPC endpoint policy.
E. The S3 bucket default encryption is enabled.
F. There is an error in the IAM role configuration.
Answer: A,D,F
QUESTION NO: 2
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
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 DevOps Engineer is using AWS CodeDeploy across a fleet of Amazon EC2 instances in an
EC2 Auto Scaling group. The associated CodeDeploy deployment group, which is integrated with EC2
Auto Scaling, is configured to perform in-place deployments with CodeDeployDefault.OneAtATime.
During an ongoing new deployment, the Engineer discovers that, although the overall deployment finished successfully, two out of five instances have the previous application revision deployed. The other three instances have the newest application revision.
What is likely causing this issue?
A. A failed AfterInstall lifecycle event hook caused the CodeDeploy agent to roll back to the previous version on the affected instances.
B. EC2 Auto Scaling launched two new instances while the new deployment had not yet finished, causing the previous version to be deployed on the affected instances.
C. The CodeDeploy agent was not installed in two affected instances.
D. The two affected instances failed to fetch the new deployment.
Answer: B
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