試験の準備をするためにShobhadoshiのAmazonのAWS-DevOps対策学習試験トレーニング資料を買うのは冒険的行為と思ったとしたら、あなたの人生の全てが冒険なことになります。一番遠いところへ行った人はリスクを背負うことを恐れない人です。また、ShobhadoshiのAmazonのAWS-DevOps対策学習試験トレーニング資料が信頼できるのは多くの受験生に証明されたものです。 でも、この試験がとても難しくてIT者になりたい方が障害になっています。この情報の時代には、IT業界にとても注目され、この強い情報技術業界にIT人材が得難いです。 IT認定試験の中でどんな試験を受けても、ShobhadoshiのAWS-DevOps対策学習試験参考資料はあなたに大きなヘルプを与えることができます。

その中で、AWS-DevOps対策学習認定試験は最も重要な一つです。

AWS Certified DevOps Engineer AWS-DevOps対策学習 - AWS Certified DevOps Engineer - Professional それはShobhadoshiにはIT領域のエリートたちが組み立てられた団体があります。 なぜなら、それはAmazonのAWS-DevOps 試験関連情報認定試験に関する必要なものを含まれるからです。Shobhadoshiを選んだら、あなたは簡単に認定試験に合格することができますし、あなたはITエリートたちの一人になることもできます。

AmazonのAWS-DevOps対策学習認定試験を受けることを決めたら、Shobhadoshiがそばにいて差し上げますよ。Shobhadoshiはあなたが自分の目標を達成することにヘルプを差し上げられます。あなたがAmazonのAWS-DevOps対策学習「AWS Certified DevOps Engineer - Professional」認定試験に合格する需要を我々はよく知っていますから、あなたに高品質の問題集と科学的なテストを提供して、あなたが気楽に認定試験に受かることにヘルプを提供するのは我々の約束です。

Amazon AWS-DevOps対策学習 - 」とゴーリキーは述べました。

努力する人生と努力しない人生は全然違いますなので、あなたはのんびりした生活だけを楽しみしていき、更なる進歩を求めるのではないか？スマートを一方に置いて、我々AmazonのAWS-DevOps対策学習試験問題集をピックアップします。弊社のAWS-DevOps対策学習試験問題集によって、あなたの心と精神の満足度を向上させながら、勉強した後AWS-DevOps対策学習試験資格認定書を受け取って努力する人生はすばらしいことであると認識られます。

最近、AmazonのAWS-DevOps対策学習試験は非常に人気のある認定試験です。あなたもこの試験の認定資格を取得したいのですか。

AWS-DevOps 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