Goldmile-Infobizの問題集はIT専門家がAmazonのDOP-C01模試エンジン「AWS Certified DevOps Engineer - Professional」認証試験について自分の知識と経験を利用して研究したものでございます。Goldmile-Infobizの問題集は真実試験の問題にとても似ていて、弊社のチームは自分の商品が自信を持っています。Goldmile-Infobizが提供した商品をご利用してください。 AmazonのDOP-C01模試エンジン認定試験はIT専門知識のレベルの考察として、とっても重要な地位になりつつます。Goldmile-Infobizは最も正確なAmazonのDOP-C01模試エンジン試験資料を追求しています。 弊社が提供したすべての勉強資料と他のトレーニング資料はコスト効率の良い製品で、サイトが一年間の無料更新サービスを提供します。
AWS Certified DevOps Engineer DOP-C01 ここにはあなたが最も欲しいものがありますから。
AWS Certified DevOps Engineer DOP-C01模試エンジン - AWS Certified DevOps Engineer - Professional Goldmile-Infobizで、あなたは一番良い準備資料を見つけられます。 Goldmile-InfobizのDOP-C01 模擬トレーリング問題集はあなたを楽に試験の準備をやらせます。それに、もし最初で試験を受ける場合、試験のソフトウェアのバージョンを使用することができます。
もしあなたが初心者だったら、または自分の知識や専門的なスキルを高めたいのなら、Goldmile-InfobizのAmazonのDOP-C01模試エンジン問題集があなたを助けることができ、一歩一歩でその念願を実現することにヘルプを差し上げます。Goldmile-InfobizのAmazonのDOP-C01模試エンジンは試験に関する全ての質問が解決して差し上げられます。それに一年間の無料更新サービスを提供しますから、Goldmile-Infobizのウェブサイトをご覧ください。
Amazon DOP-C01模試エンジン - 試験に合格する自信を持たなくても大丈夫です。
ご客様は弊社のDOP-C01模試エンジン問題集を購入するかどうかと判断する前に、我が社は無料に提供するサンプルをダウンロードして試すことができます。それで、不必要な損失を避けできます。ご客様はDOP-C01模試エンジン問題集を購入してから、勉強中で何の質問があると、行き届いたサービスを得られています。ご客様はDOP-C01模試エンジン資格認証試験に失敗したら、弊社は全額返金できます。その他、DOP-C01模試エンジン問題集の更新版を無料に提供します。
これはあなたが一回で試験に合格することを保証できる問題集です。成功することが大変難しいと思っていますか。
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 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: 4
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: 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