Goldmile-Infobiz AmazonのAWS-DevOps-Engineer-Professional赤本合格率試験トレーニング資料は豊富な経験を持っているIT専門家が研究したもので、問題と解答が緊密に結んでいますから、比べるものがないです。高い価格のトレーニング授業を受けることはなくて、Goldmile-Infobiz AmazonのAWS-DevOps-Engineer-Professional赤本合格率試験トレーニング資料をショッピングカートに入れる限り、我々はあなたが気楽に試験に合格することを助けられます。IT業種のAmazonのAWS-DevOps-Engineer-Professional赤本合格率認定試験に合格したいのなら、Goldmile-Infobiz AmazonのAWS-DevOps-Engineer-Professional赤本合格率試験トレーニング問題集を選ぶのは必要なことです。 IT職員の一員として、目前のAmazonのAWS-DevOps-Engineer-Professional赤本合格率試験情報を明らかに了解できますか？もし了解しなかったら、心配する必要がありません。我々社Goldmile-Infobizは試験政策の変化に応じて、AmazonのAWS-DevOps-Engineer-Professional赤本合格率問題集をタイムリーに更新しています。 でも、試験に合格するために大量な時間とエネルギーを費やすことはなく、Goldmile-InfobizのAmazonのAWS-DevOps-Engineer-Professional赤本合格率試験トレーニング資料を選んだらいいです。
AWS Certified DevOps Engineer AWS-DevOps-Engineer-Professional でも大丈夫です。
短時間で一度に本当の認定試験に高いポイントを取得したいなら、我々Goldmile-InfobizのAmazon AWS-DevOps-Engineer-Professional - AWS Certified DevOps Engineer - Professional赤本合格率日本語対策問題集は絶対にあなたへの最善なオプションです。 この問題集には実際の試験に出る可能性のあるすべての問題が含まれています。従って、この問題集を真面目に学ぶ限り、AWS-DevOps-Engineer-Professional 日本語問題集認定試験に合格するのは難しいことではありません。
そうすれば、わかりやすく、覚えやすいです。弊社の AWS-DevOps-Engineer-Professional赤本合格率参考資料は実践に基づいて、専門的な知識の蓄積です。だから、AWS-DevOps-Engineer-Professional赤本合格率試験のために、弊社の商品を選ばれば、後悔することがないです。
Amazon AWS-DevOps-Engineer-Professional赤本合格率 - Goldmile-Infobizを選られば、成功しましょう。
Goldmile-Infobizは君の成功のために、最も質の良いAmazonのAWS-DevOps-Engineer-Professional赤本合格率試験問題と解答を提供します。もし君はいささかな心配することがあるなら、あなたはうちの商品を購入する前に、Goldmile-Infobizは無料でサンプルを提供することができます。あなたはGoldmile-InfobizのAmazonのAWS-DevOps-Engineer-Professional赤本合格率問題集を購入した後、私たちは一年間で無料更新サービスを提供することができます。
君はまずネットで無料な部分のAmazon認証試験をダウンロードして現場の試験の雰囲気を感じて試験に上手になりますよ。AmazonのAWS-DevOps-Engineer-Professional赤本合格率認証試験に失敗したら弊社は全額で返金するのを保証いたします。
AWS-DevOps-Engineer-Professional PDF DEMO:
QUESTION NO: 1
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: 2
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: 3
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: 4
A DevOps Engineer administers an application that manages video files for a video production company. The application runs on Amazon EC2 instances behind an ELB Application Load Balancer.
The instances run in an Auto Scaling group across multiple Availability Zones. Data is stored in an
Amazon RDS PostgreSQL Multi-AZ DB instance, and the video files are stored in an Amazon S3 bucket.
On a typical day, 50 GB of new video are added to the S3 bucket. The Engineer must implement a multi-region disaster recovery plan with the least data loss and the lowest recovery times. The current application infrastructure is already described using AWS CloudFormation.
Which deployment option should the Engineer choose to meet the uptime and recovery objectives for the system?
A. Launch the application from the CloudFormation template in the second region, which sets the capacity of the Auto Scaling group to 1. Create a scheduled task to take daily Amazon RDS cross- region snapshots to the second region. In the second region, enable cross-region replication between the original S3 bucket and Amazon Glacier. In a disaster, launch a new application stack in the second region and restore the database from the most recent snapshot.
B. Use Amazon CloudWatch Events to schedule a nightly task to take a snapshot of the database and copy the snapshot to the second region. Create an AWS Lambda function that copies each object to a new S3 bucket in the second region in response to S3 event notifications. In the second region, launch the application from the CloudFormation template and restore the database from the most recent snapshot.
C. Launch the application from the CloudFormation template in the second region, which sets the capacity of the Auto Scaling group to 1. Create an Amazon RDS read replica in the second region. In the second region, enable cross-region replication between the original S3 bucket and a new S3 bucket. To fail over, promote the read replica as master. Update the CloudFormation stack and increase the capacity of the Auto Scaling group.
D. Launch the application from the CloudFormation template in the second region which sets the capacity of the Auto Scaling group to 1. Use Amazon CloudWatch Events to schedule a nightly task to take a snapshot of the database, copy the snapshot to the second region, and replace the DB instance in the second region from the snapshot. In the second region, enable cross-region replication between the original S3 bucket and a new S3 bucket. To fail over, increase the capacity of the Auto Scaling group.
Answer: D
QUESTION NO: 5
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
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Updated: May 28, 2022