あなたにAmazon AWS-DevOps合格率試験に関する最新かつ最完備の資料を勉強させ、試験に合格させることだと信じます。もしあなたはAWS-DevOps合格率試験に合格しなかったら、全額返金のことを承諾します。我々Omgzlookは一番行き届いたアフタサービスを提供します。 実際の試験に表示される質問と正確な解答はあなたのAmazon AWS-DevOps合格率認定資格試験合格を手伝ってあげます。Amazon AWS-DevOps合格率認定試験の難しさで近年にほとんどの受験生は資格認定試験に合格しなっかたと良く知られます。 周りの多くの人は全部Amazon AWS-DevOps合格率資格認定試験にパースしまして、彼らはどのようにできましたか。
AWS Certified DevOps Engineer AWS-DevOps こうして、君は安心で試験の準備を行ってください。
AmazonのAWS-DevOps - AWS Certified DevOps Engineer - Professional (DOP-C01)合格率の認定試験に合格するのは簡単ではなくて、OmgzlookはAWS-DevOps - AWS Certified DevOps Engineer - Professional (DOP-C01)合格率試験の受験生がストレスを軽減し、エネルギーと時間を節約するために専門研究手段として多様な訓練を開発して、Omgzlookから君に合ったツールを選択してください。 Amazon AWS-DevOps 模擬試験「AWS Certified DevOps Engineer - Professional (DOP-C01)」認証試験に合格することが簡単ではなくて、Amazon AWS-DevOps 模擬試験証明書は君にとってはIT業界に入るの一つの手づるになるかもしれません。しかし必ずしも大量の時間とエネルギーで復習しなくて、弊社が丹精にできあがった問題集を使って、試験なんて問題ではありません。
現在の社会の中で優秀な人材が揃てIT人材も多く、競争もとても大きくて、だから多くのIT者はにIT関する試験に参加するIT業界での地位のために奮闘しています。AWS-DevOps合格率試験はAmazonの一つ重要な認証試験で多くのIT専門スタッフが認証される重要な試験です。
Amazon AWS-DevOps合格率 - 成功を祈ります。
Omgzlookは実際の環境で本格的なAmazonのAWS-DevOps合格率「AWS Certified DevOps Engineer - Professional (DOP-C01)」の試験の準備過程を提供しています。もしあなたは初心者若しくは専門的な技能を高めたかったら、OmgzlookのAmazonのAWS-DevOps合格率「AWS Certified DevOps Engineer - Professional (DOP-C01)」の試験問題があなたが一歩一歩自分の念願に近くために助けを差し上げます。試験問題と解答に関する質問があるなら、当社は直後に解決方法を差し上げます。しかも、一年間の無料更新サービスを提供します。
Omgzlookの専門家が研究された問題集を利用してください。まだAmazonのAWS-DevOps合格率認定試験を悩んでいますかこの情報の時代の中で専門なトレーニングを選択するのと思っていますか？良いターゲットのトレーニングを利用すれば有効で君のIT方面の大量の知識を補充 できます。
AWS-DevOps PDF DEMO:
QUESTION NO: 1
A company runs a production application workload in a single AWS account that uses Amazon
Route 53, AWS Elastic Beanstalk, and Amazon RDS. In the event of a security incident, the Security team wants the application workload to fail over to a new AWS account. The Security team also wants to block all access to the original account immediately, with no access to any AWS resources in the original AWS account, during forensic analysis.
What is the most cost-effective way to prepare to fail over to the second account prior to a security incident?
A. Save/copy the Amazon Route 53 configurations for use in a different AWS account after an incident.
Save/copy Elastic Beanstalk configuration files to a different account. Enable the RDS database read replica in a different account.
B. Migrate the Amazon Route 53 configuration to a dedicated AWS account. Save/copy the Elastic
Beanstalk configuration files in a different AWS account. Copy snapshots of the RDS Database to a different account.
C. Migrate the Amazon Route 53 configuration to a dedicated AWS account. Mirror the Elastic
Beanstalk configuration in a different account. Enable RDS Database Read Replicas in a different account.
D. Save/copy the Amazon Route 53 configurations for use in a different AWS account after an incident.
Mirror the configuration of Elastic Beanstalk in a different account. Copy snapshots of the RDS database to a different account.
Answer: C
QUESTION NO: 2
According to Information Security Policy, changes to the contents of objects inside production
Amazon S3 bucket that contain encrypted secrets should only be made by a trusted group of administrators.
How should a DevOps Engineer create real-time, automated checks to meet this requirement?
A. Create a metrics filter for Amazon CloudWatch logs to check for Amazon S3 bucket-level permission changes and to check the IAM user's membership in an administrator's IAM role.
B. Create an AWS Lambda function that is triggered by Amazon S3 data events for object changes and that also checks the IAM user's membership in an administrator's IAM role.
C. Create a periodic AWS Config rule to query AWS CloudTrail logs for changes to the Amazon S3 bucket-level permissions and to check the IAM user's membership in an administrator's IAM role.
D. Create a periodic AWS Config rule to query Amazon S3 Logs for changes and to check the IAM user's membership in an administrator's IAM role.
Answer: B
QUESTION NO: 3
You currently have the following setup in AWS
1) An Elastic Load Balancer
2) Auto Scaling Group which launches EC2 Instances
3) AMIs with your code pre-installed
You want to deploy the updates of your app to only a certain number of users. You want to have a cost-effective solution. You should also be able to revert back quickly. Which of the below solutions is the most feasible one?
A. Create a full second stack of instances, cut the DNS over to the new stack of instances, and change the DNS back if a rollback is needed.
B. Create new AM Is with the new app. Then use the new EC2 instances in half proportion to the older instances.
C. Redeploy with AWS Elastic Beanstalk and Elastic Beanstalk versions. Use Route 53 Weighted
Round Robin records to adjust the proportion of traffic hitting the two ELBs
D. Create a second ELB, and a new Auto Scaling Group assigned a new Launch Configuration. Create a new AMI with the updated app. Use Route53 Weighted Round Robin records to adjust the proportion of traffic hitting the two ELBs.
Answer: D
Explanation
The Weighted Routing policy of Route53 can be used to direct a proportion of traffic to your application. The best option is to create a second CLB, attach the new Autoscaling Group and then use Route53 to divert the traffic.
Option B is wrong because just having EC2 instances running with the new code will not help.
Option C is wrong because Clastic beanstalk is good for development environments, and also there is no mention of having 2 environments where environment url's can be swapped.
Option D is wrong because you still need Route53 to split the traffic.
For more information on Route53 routing policies, please refer to the below link:
* http://docs.aws.amazon.com/Route53/latest/DeveloperGuide/routing-policy.html
QUESTION NO: 4
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
QUESTION NO: 5
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
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Updated: May 28, 2022