DOP-C01 日本語対策、 Amazon DOP-C01 認定試験 & AWS Certified DevOps Engineer Professional - Omgzlook

AmazonのDOP-C01日本語対策試験に参加するのは大ブレークになる一方が、DOP-C01日本語対策試験情報は雑多などの問題が注目している。たくさんの品質高く問題集を取り除き、我々OmgzlookのDOP-C01日本語対策問題集を選らんでくださいませんか。我々のDOP-C01日本語対策問題集はあなたに質高いかつ完備の情報を提供し、成功へ近道のショットカットになります。 我々OmgzlookはAmazonのDOP-C01日本語対策試験問題集をリリースする以降、多くのお客様の好評を博したのは弊社にとって、大変な名誉なことです。また、我々はさらに認可を受けられるために、皆様の一切の要求を満足できて喜ぶ気持ちでずっと協力し、完備かつ精確のDOP-C01日本語対策試験問題集を開発するのに準備します。 競争力が激しい社会に当たり、我々Omgzlookは多くの受験生の中で大人気があるのは受験生の立場からAmazon DOP-C01日本語対策試験資料をリリースすることです。

AWS Certified DevOps Engineer DOP-C01 躊躇わなく、行動しましょう。

だから、弊社の提供するDOP-C01 - AWS Certified DevOps Engineer - Professional日本語対策問題集を暗記すれば、きっと試験に合格できます。 DOP-C01 資格トレーニング資格証明書があれば、履歴書は他の人の履歴書より目立つようになります。現在、DOP-C01 資格トレーニング資格証明書の知名度がますます高くなっています。

Omgzlookは同業の中でそんなに良い地位を取るの原因は弊社のかなり正確な試験の練習問題と解答そえに迅速の更新で、このようにとても良い成績がとられています。そして、弊社が提供した問題集を安心で使用して、試験を安心で受けて、君のAmazon DOP-C01日本語対策認証試験の100%の合格率を保証しますす。OmgzlookにたくさんのIT専門人士がいって、弊社の問題集に社会のITエリートが認定されて、弊社の問題集は試験の大幅カーバして、合格率が100%にまで達します。

Amazon DOP-C01日本語対策 - こうして、君は安心で試験の準備を行ってください。

AmazonのDOP-C01日本語対策試験に合格することは容易なことではなくて、良い訓練ツールは成功の保証でOmgzlookは君の試験の問題を準備してしまいました。君の初めての合格を目標にします。

専門的な知識が必要で、もしあなたはまだこの方面の知識を欠かれば、Omgzlookは君に向ける知識を提供いたします。Omgzlookの専門家チームは彼らの知識や経験を利用してあなたの知識を広めることを助けています。

DOP-C01 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