認証専門家や技術者及び全面的な言語天才がずっと最新のAmazonのAWS-DevOps-Engineer-Professional日本語版問題集試験を研究していて、最新のAmazonのAWS-DevOps-Engineer-Professional日本語版問題集問題集を提供します。ですから、君はうちの学習教材を安心で使って、きみの認定試験に合格することを保証します。多くのサイトの中で、どこかのAmazonのAWS-DevOps-Engineer-Professional日本語版問題集試験問題集は最も正確性が高いですか。 IT業界の発展とともに、IT業界で働いている人への要求がますます高くなります。競争の中で排除されないように、あなたはAmazonのAWS-DevOps-Engineer-Professional日本語版問題集試験に合格しなければなりません。 Goldmile-InfobizのAmazonのAWS-DevOps-Engineer-Professional日本語版問題集試験トレーニング資料は豊富な経験を持っている専門家が長年の研究を通じて開発されたものです。
AWS Certified DevOps Engineer AWS-DevOps-Engineer-Professional それで、不必要な損失を避けできます。
そうであれば、無料で弊社の提供するAmazonのAWS-DevOps-Engineer-Professional - AWS Certified DevOps Engineer - Professional日本語版問題集のデモをダウンロードしてみよう。 弊社のAmazonのAWS-DevOps-Engineer-Professional 試験資料練習問題を利用したら、あなたは気楽に勉強するだけではなく、順調に試験に合格します。多くの人々はAmazonのAWS-DevOps-Engineer-Professional 試験資料試験に合格できるのは難しいことであると思っています。
そうでない場合、今回使用してからあなたがGoldmile-Infobizを必要な選択肢として使用できるようになります。私たちが提供するAmazonのAWS-DevOps-Engineer-Professional日本語版問題集試験のソフトウェアはITエリートによって数年以来AmazonのAWS-DevOps-Engineer-Professional日本語版問題集試験の内容から分析して開発されます、オンライン、PDF、およびソフトウェアが3つのバージョンあります。あなたの気に入る版を選ぶことができます。
Amazon AWS-DevOps-Engineer-Professional日本語版問題集 - できるだけ100％の通過率を保証使用にしています。
私たちは、このキャリアの中で、10年以上にわたりプロとしてAWS-DevOps-Engineer-Professional日本語版問題集練習資料を作りました。AWS-DevOps-Engineer-Professional日本語版問題集練習資料が最も全面的な参考書です。 そして、私たちは十分な耐久力を持って、ずっとAWS-DevOps-Engineer-Professional日本語版問題集練習資料の研究に取り組んでいます。私たちのAWS-DevOps-Engineer-Professional日本語版問題集練習資料を利用したら、AWS-DevOps-Engineer-Professional日本語版問題集試験に合格した人がかなり多いです。だから、弊社のAWS-DevOps-Engineer-Professional日本語版問題集練習資料を早く購入しましょう！
AmazonのAWS-DevOps-Engineer-Professional日本語版問題集試験のソフトは問題数が豊富であなたに大量の練習で能力を高めさせます。そのほかに、専門家たちの解答への詳しい分析があります。
AWS-DevOps-Engineer-Professional PDF DEMO:
QUESTION NO: 1
A web application for healthcare services runs on Amazon EC2 instances behind an ELB
Application Load Balancer. The instances run in an Amazon EC2 Auto Scaling group across multiple
Availability Zones. A DevOps Engineer must create a mechanism in which an EC2 instance can be taken out of production so its system logs can be analyzed for issues to quickly troubleshot problems on the web tier.
How can the Engineer accomplish this task while ensuring availability and minimizing downtime?
A. Terminate the EC2 instances manually. The Auto Scaling service will upload all log information to
CloudWatch Logs for analysis prior to instance termination.
B. Implement EC2 Auto Scaling groups cooldown periods. Use EC2 instance metadata to determine the instance state, and an AWS Lambda function to snapshot Amazon EBS volumes to preserve system logs.
C. Implement Amazon CloudWatch Events rules. Create an AWS Lambda function that can react to an instance termination to deploy the CloudWatch Logs agent to upload the system and access logs to
Amazon S3 for analysis.
D. Implement EC2 Auto Scaling groups with lifecycle hooks. Create an AWS Lambda function that can modify an EC2 instance lifecycle hook into a standby state, extract logs from the instance through a remote script execution, and place them in an Amazon S3 bucket for analysis.
Answer: B
QUESTION NO: 2
A company is hosting a web application in an AWS Region. For disaster recovery purposes, a second region is being used as a standby. Disaster recovery requirements state that session data must be replicated between regions in near-real time and 1% of requests should route to the secondary region to continuously verify system functionality. Additionally, if there is a disruption in service in the main region, traffic should be automatically routed to the secondary region, and the secondary region must be able to scale up to handle all traffic.
How should a DevOps Engineer meet these requirements?
A. In both regions, deploy the application on AWS Elastic Beanstalk and use Amazon DynamoDB global tables for session data. Use an Amazon Route 53 weighted routing policy with health checks to distribute the traffic across the regions.
B. In both regions, launch the application in Auto Scaling groups and use DynamoDB for session data.
Use a Route 53 failover routing policy with health checks to distribute the traffic across the regions.
C. In both regions, deploy the application in AWS Lambda, exposed by Amazon API Gateway, and use
Amazon RDS PostgreSQL with cross-region replication for session data. Deploy the web application with client-side logic to call the API Gateway directly.
D. In both regions, launch the application in Auto Scaling groups and use DynamoDB global tables for session data. Enable an Amazon CloudFront weighted distribution across regions. Point the Amazon
Route 53 DNS record at the CloudFront distribution.
Answer: C
QUESTION NO: 3
A defect was discovered in production and a new sprint item has been created for deploying a hotfix.
However, any code change must go through the following steps before going into production:
*Scan the code for security breaches, such as password and access key leaks.
Run the code through extensive, long running unit tests.
Which source control strategy should a DevOps Engineer use in combination with AWS CodePipeline to complete this process?
A. Create a hotfix branch from the master branch. Triger the development pipeline from the hotfix branch.
Use AWS Lambda to do a content scan and run unit tests. Add a manual approval stage that merges the hotfix branch into the master branch.
B. Create a hotfix branch from the master branch. Create a separate source stage for the hotfix branch in the production pipeline. Trigger the pipeline from the hotfix branch. Use AWS Lambda to do a content scan and use AWS CodeBuild to run unit tests. Add a manual approval stage that merges the hotfix branch into the master branch.
C. Create a hotfix branch from the master branch. Triger the development pipeline from the hotfix branch.
Use AWS CodeBuild to do a content scan and run unit tests. Add a manual approval stage that merges the hotfix branch into the master branch.
D. Create a hotfix tag on the last commit of the master branch. Trigger the development pipeline from the hotfix tag. Use AWS CodeDeploy with Amazon ECS to do a content scan and run unit tests.
Add a manual approval stage that merges the hotfix tag into the master branch.
Answer: D
QUESTION NO: 4
A government agency has multiple AWS accounts, many of which store sensitive citizen information. A Security team wants to detect anomalous account and network activities (such as SSH brute force attacks) in any account and centralize that information in a dedicated security account.
Event information should be stored in an Amazon S3 bucket in the security account, which is monitored by the department's Security Information and Even Manager (SIEM) system.
How can this be accomplished?
A. Enable Amazon Macie in the security account only. Configure the security account as the Macie
Administrator for every member account using invitation/ acceptance. Create an Amazon
CloudWatch Events rule in the security account to send all findings to Amazon Kinesis Data Streams.
Write and application using KCL to read data from the Kinesis Data Streams and write to the S3 bucket.
B. Enable Amazon GuardDuty in every account. Configure the security account as the GuardDuty
Administrator for every member account using invitation/ acceptance. Create an Amazon
CloudWatch rule in the security account to send all findings to Amazon Kinesis Data Firehouse, which will push the findings to the S3 bucket.
C. Enable Amazon GuardDuty in the security account only. Configure the security account as the
GuardDuty Administrator for every member account using invitation/acceptance. Create an Amazon
CloudWatch rule in the security account to send all findings to Amazon Kinesis Data Streams. Write and application using KCL to read data from Kinesis Data Streams and write to the S3 bucket.
D. Enable Amazon Macie in every account. Configure the security account as the Macie
Administrator for every member account using invitation/acceptance. Create an Amazon CloudWatch
Events rule in the security account to send all findings to Amazon Kinesis Data Firehouse, which should push the findings to the S3 bucket.
Answer: C
QUESTION NO: 5
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
Amazon Huawei H28-315_V1.0認証試験に合格することが簡単ではなくて、Amazon Huawei H28-315_V1.0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。 VMware 250-612 - 古くから成功は準備のできる人のためにあると聞こえます。 HITRUST CCSFP - Goldmile-Infobizは受験者に向かって試験について問題を解決する受験資源を提供するサービスのサイトで、さまざまな受験生によって別のトレーニングコースを提供いたします。 Huawei H21-296_V2.0 - 使用した後、我々社の開発チームの細心と専業化を感じます。 AmazonのOracle 1z0-1057-25認定試験の最新教育資料はGoldmile-Infobizの専門チームが研究し続けてついに登場し、多くの人の夢が実現させることができます。
Updated: May 28, 2022