暇の時間を利用して勉強します。努力すれば報われますなので、Amazon AWS-DevOps-Engineer-Professional受験料資格認定を取得して自分の生活状況を改善できます。IT職員のあなたは毎月毎月のあまり少ない給料を持っていますが、暇の時間でひたすら楽しむんでいいですか。 AmazonのAWS-DevOps-Engineer-Professional受験料ソフトを使用するすべての人を有効にするために最も快適なレビュープロセスを得ることができ、我々は、AmazonのAWS-DevOps-Engineer-Professional受験料の資料を提供し、PDF、オンラインバージョン、およびソフトバージョンを含んでいます。あなたの愛用する版を利用して、あなたは簡単に最短時間を使用してAmazonのAWS-DevOps-Engineer-Professional受験料試験に合格することができ、あなたのIT機能を最も権威の国際的な認識を得ます！ 現在の社会で、AWS-DevOps-Engineer-Professional受験料試験に参加する人がますます多くなる傾向があります。
AWS Certified DevOps Engineer AWS-DevOps-Engineer-Professional 」と感謝します。
AWS Certified DevOps Engineer AWS-DevOps-Engineer-Professional受験料 - AWS Certified DevOps Engineer - Professional 受験者がGoldmile-Infobizを選択したら高度専門の試験に１００％合格することが問題にならないと保証いたします。 有効的なAmazon AWS-DevOps-Engineer-Professional コンポーネント認定資格試験問題集を見つけられるのは資格試験にとって重要なのです。我々Goldmile-InfobizのAmazon AWS-DevOps-Engineer-Professional コンポーネント試験問題と試験解答の正確さは、あなたの試験準備をより簡単にし、あなたが試験に高いポイントを得ることを保証します。
Goldmile-InfobizはAmazonのAWS-DevOps-Engineer-Professional受験料認定試験に便利なサービスを提供するサイトで、従来の試験によってGoldmile-Infobiz が今年のAmazonのAWS-DevOps-Engineer-Professional受験料認定試験を予測してもっとも真実に近い問題集を研究し続けます。
Amazon AWS-DevOps-Engineer-Professional受験料 - 本当に助かりました。
今の多くのIT者が参加している試験に、AmazonのAWS-DevOps-Engineer-Professional受験料認定試験「AWS Certified DevOps Engineer - Professional」がとても人気がある一つとして、合格するために豊富な知識と経験が必要です。AmazonのAWS-DevOps-Engineer-Professional受験料認定試験に準備する練習ツールや訓練機関に通学しなればまりませんでしょう。Goldmile-Infobizは君のもっともよい選択ですよ。多くIT者になりたい方にAmazonのAWS-DevOps-Engineer-Professional受験料認定試験に関する問題集を準備しております。君に短い時間に大量のITの専門知識を補充させています。
Goldmile-Infobizが提供した問題集を利用してAmazonのAWS-DevOps-Engineer-Professional受験料試験は全然問題にならなくて、高い点数で合格できます。Amazon AWS-DevOps-Engineer-Professional受験料試験の合格のために、Goldmile-Infobizを選択してください。
AWS-DevOps-Engineer-Professional PDF DEMO:
QUESTION NO: 1
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: 2
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: 3
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: 4
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: 5
A company hosts parts of a Python-based application using AWS Elastic Beanstalk. An Elastic
Beanstalk CLI is being used to create and update the environments. The Operations team detected an increase in requests in one of the Elastic Beanstalk environments that caused downtime overnight.
The team noted that the policy used for AWS Auto Scaling is NetworkOut. Based on load testing metrics, the team determined that the application needs to scale CPU utilization to improve the resilience of the environments. The team wants to implement this across all environments automatically.
Following AWS recommendations, how should this automation be implemented?
A. Using ebextensions, create a custom resource that modifies the AWSEBAutoScalingScaleUpPolicy and AWSEBAutoScalingScaleDownPolicy resources to use CPUUtilization as a metric to scale for the
Auto Scaling group.
B. Using ebextensions, place a script within the files key and place it in
/opt/elasticbeanstalk/hooks/appdeploy/pre to perform an API call to modify the scaling metric to
CPUUtilization for the Auto Scaling configuration. Use leader_only to place this script in only the first instance launched within the environment.
C. Using ebextensions, place a command within the container_commands key to perform an API call to modify the scaling metric to CPUUtilization for the Auto Scaling configuration. Use leader_only to execute this command in only the first instance launched within the environment.
D. Using ebextensions, configure the option setting MeasureName to CPUUtilization within the aws:autoscaling:trigger namespace.
Answer: D
Scaled Agile SAFe-Agilist - テストの時に有効なツルが必要でございます。 Cisco 200-201J - 弊社の商品は試験の範囲を広くカバーすることが他のサイトがなかなか及ばならないです。 何千何万の登録された部門のフィードバックによって、それに大量な突っ込んだ分析を通じて、我々はどのサプライヤーがお客様にもっと新しいかつ高品質のReal Estate Massachusetts-Real-Estate-Salesperson資料を提供できるかを確かめる存在です。 SAP C-S4CS-2508 - 弊社が提供した問題集がほかのインターネットに比べて問題のカーバ範囲がもっと広くて対応性が強い長所があります。 それはあなたがいつでも最新のCIPS L4M5試験トレーニング資料をもらえるということです。
Updated: May 28, 2022