素晴らしい試験参考書です。AWS-DevOps復習対策書認定試験の難しさで近年、資格認定試験に合格した受験生はますます少なくなっていたと良く知られます。だから、我々社のIT専門家は長年にわたりAmazon　AWS-DevOps復習対策書認定資格試験問題集作成に取り組んで、有効なAWS-DevOps復習対策書試験問題集を書きました。 IT認定試験の中でどんな試験を受けても、NewValidDumpsのAWS-DevOps復習対策書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。それは NewValidDumpsのAWS-DevOps復習対策書問題集には実際の試験に出題される可能性がある問題をすべて含んでいて、しかもあなたをよりよく問題を理解させるように詳しい解析を与えますから。 Amazon AWS-DevOps復習対策書試験認証に合格確率はとても小さいですが、NewValidDumpsはその合格確率を高めることが信じてくだい。

その中で、AWS-DevOps復習対策書認定試験は最も重要な一つです。

AWS Certified DevOps Engineer AWS-DevOps復習対策書 - AWS Certified DevOps Engineer - Professional (DOP-C01) NewValidDumpsが提供した資料は最も全面的で、しかも更新の最も速いです。 NewValidDumpsのAmazonのAWS-DevOps クラムメディア試験トレーニング資料を使ったら、君のAmazonのAWS-DevOps クラムメディア認定試験に合格するという夢が叶えます。なぜなら、それはAmazonのAWS-DevOps クラムメディア認定試験に関する必要なものを含まれるからです。

NewValidDumpsのシニア専門家チームはAmazonのAWS-DevOps復習対策書試験に対してトレーニング教材を研究できました。NewValidDumpsが提供した教材を勉強ツルとしてAmazonのAWS-DevOps復習対策書認定試験に合格するのはとても簡単です。NewValidDumpsも君の１００％合格率を保証いたします。

Amazon AWS-DevOps復習対策書 - それは正確性が高くて、カバー率も広いです。

AmazonのAWS-DevOps復習対策書は専門知識と情報技術の検査として認証試験で、NewValidDumpsはあなたに一日早くAmazonの認証試験に合格させて、多くの人が大量の時間とエネルギーを費やしても無駄になりました。NewValidDumpsにその問題が心配でなく、わずか20時間と少ないお金をを使って楽に試験に合格することができます。NewValidDumpsは君に対して特別の訓練を提供しています。

もちろん、我々はあなたに一番安心させるのは我々の開発する多くの受験生に合格させるAmazonのAWS-DevOps復習対策書試験のソフトウェアです。我々はあなたに提供するのは最新で一番全面的なAmazonのAWS-DevOps復習対策書問題集で、最も安全な購入保障で、最もタイムリーなAmazonのAWS-DevOps復習対策書試験のソフトウェアの更新です。

AWS-DevOps PDF DEMO:

QUESTION NO: 1
A company has developed an AWS Lambda function that handles orders received through an
API. The company is using AWS CodeDeploy to deploy the Lambda function as the final stage of a
CI/CD pipeline. A DevOps Engineer has notices there are intermittent failures of the ordering API for a few seconds after deployment. After some investigation, the DevOps Engineer believes the failures are due to database changes the CloudFormation stack for the application lambda function begins executing. How should the DevOps Engineer overcome this?
A. Add a BeforeAllowTraffic hook to the AppSpec file that tests and waits for any necessary database changes before traffic can flow to the new version of the Lambda function
B. Add an AfterAllowTraffic hook to the AppSpec file that forces traffic to wait for any pending database changes before allowing the new version of the Lambda function to respond
C. Add a ValidateService hook to the AppSpec file that inspects incoming traffic and rejects the payload if dependent services such as the database are not yet ready
D. Add a BeforeInstall hook to the AppSpec file that tests and waits for any necessary database changes before deploying the new version of the Lambda function
Answer: B

QUESTION NO: 2
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: 3
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: 4
A DevOps Engineer manages a web application that runs on Amazon EC2 instances behind an
Application Load Balancer (ALB). The instances run in an EC2 Auto Scaling group across multiple
Availability Zones.
The Engineer needs to implement a deployment strategy that:
Launches a second fleet of instances with the same capacity as the original fleet.
Maintains the original fleet unchanged while the second fleet is launched.
Transitions traffic to the second fleet when the second fleet is fully deployed.
Terminates the original fleet automatically 1 hour after transition.
Which solution will satisfy these requirements?
A. Use AWS Elastic Beanstalk with the configuration set to Immutable. Create an .ebextension using the Resources key that sets the deletion policy of the ALB to 1 hour, and deploy the application.
B. Use an AWS CloudFormation template with a retention policy for the ALB set to 1 hour. Update the Amazon Route 53 record to reflect the new ALB.
C. Use AWS CodeDeploy with a deployment group configured with a blue/green deployment configuration. Select the option Terminate the original instances in the deployment group with a waiting period of 1 hour.
D. Use two AWS Elastic Beanstalk environments to perform a blue/green deployment from the original environment to the new one. Create an application version lifecycle policy to terminate the original environment in 1 hour.
Answer: D

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

CIPS L4M7 - NewValidDumpsはたくさんの方がIT者になる夢を実現させるサイトでございます。 AmazonのMicrosoft AZ-800の購入の前にあなたの無料の試しから、購入の後での一年間の無料更新まで我々はあなたのAmazonのMicrosoft AZ-800試験に一番信頼できるヘルプを提供します。 Juniper JN0-231 - NewValidDumpsを選択したら、成功をとりましょう。 Salesforce Data-Cloud-Consultant-JPN - 社会と経済の発展につれて、多くの人はIT技術を勉強します。 Palo Alto Networks SSE-Engineer 勉強資料は公式AmazonのPalo Alto Networks SSE-Engineer試験トレーニング授業 、AmazonのPalo Alto Networks SSE-Engineer 自習ガイド、AmazonのPalo Alto Networks SSE-Engineer の試験と実践やAmazonのPalo Alto Networks SSE-Engineerオンラインテストなどに含まれています。

Updated: May 28, 2022