學歷不等於實力，更不等於能力，學歷只是代表你有這個學習經歷而已，而真正的能力是在實踐中鍛煉出來的，與學歷並沒有必然聯繫。不要覺得自己能力不行，更不要懷疑自己，當你選擇了Amazon的AWS-DevOps-Engineer-Professional題庫更新考試認證，就要努力通過，如果你擔心考不過，你可以選擇Shobhadoshi Amazon的AWS-DevOps-Engineer-Professional題庫更新考試培訓資料，不管你學歷有多高，你能力有多低，你都可以很容易的理解這個培訓資料的內容，並且可以順利的通過考試認證。 Shobhadoshi提供有保證的題庫資料，以提高您的Amazon AWS-DevOps-Engineer-Professional題庫更新考試的通過率，您可以認識到我們產品的真正價值。如果您想參加AWS-DevOps-Engineer-Professional題庫更新考試，請選擇我們最新的AWS-DevOps-Engineer-Professional題庫更新題庫資料，該題庫資料具有針對性，不僅品質是最高的，而且內容是最全面的。 而且，這個資料可以保證你一次通過考試。

AWS Certified DevOps Engineer AWS-DevOps-Engineer-Professional 他們都在IT行業中有很高的權威。

選擇我們Shobhadoshi網站，您不僅可以通過熱門的AWS-DevOps-Engineer-Professional - AWS Certified DevOps Engineer - Professional題庫更新考試，而且還可以享受我們提供的一年免費更新服務。 現在很多IT專業人士都一致認為Amazon AWS-DevOps-Engineer-Professional 證照考試 認證考試的證書就是登上IT行業頂峰的第一塊墊腳石。因此Amazon AWS-DevOps-Engineer-Professional 證照考試認證考試是一個很多IT專業人士關注的考試。

購買最新的AWS-DevOps-Engineer-Professional題庫更新考古題，您將擁有100%成功通過AWS-DevOps-Engineer-Professional題庫更新考試的機會，我們產品的品質是非常好的，而且更新的速度也是最快的。題庫所有的問題和答案都與真實的考試相關，我們的Amazon AWS-DevOps-Engineer-Professional題庫更新軟件版本的題庫可以讓您體驗真實的考試環境，支持多臺電腦安裝使用。AWS-DevOps-Engineer-Professional題庫更新題庫學習資料將會是您通過此次考試的最好保證，還在猶豫什么，請盡早擁有Amazon AWS-DevOps-Engineer-Professional題庫更新考古題吧！

Amazon Amazon AWS-DevOps-Engineer-Professional題庫更新 是個能對生活有改變的認證考試。

Shobhadoshi的產品是由很多的資深IT專家利用他們的豐富的知識和經驗針對IT相關認證考試研究出來的。所以你要是參加Amazon AWS-DevOps-Engineer-Professional題庫更新 認證考試並且選擇我們的Shobhadoshi，Shobhadoshi不僅可以保證為你提供一份覆蓋面很廣和品質很好的考試資料來讓您做好準備來面對這個非常專業的考試，而且幫你順利通過Amazon AWS-DevOps-Engineer-Professional題庫更新 認證考試拿到認證證書。

Shobhadoshi的專家團隊為了滿足以大部分IT人士的需求，他們利用自己的經驗和知識努力地研究過去的幾年的Amazon AWS-DevOps-Engineer-Professional題庫更新 認證考試題目，如此，Shobhadoshi的最新的Amazon AWS-DevOps-Engineer-Professional題庫更新 的模擬測試題和答案就問世了。我們的Amazon AWS-DevOps-Engineer-Professional題庫更新 模擬測試題及答案和真實考試的題目及答案有95%的相似性，通過Shobhadoshi提供的測試題你可以100%通過考試。

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

Huawei H20-711_V1.0 - 如果你不及格，我們會全額退款。 當你擁有了Shobhadoshi Amazon的Python Institute PCET-30-01的問題及答案，就會讓你有了第一次通過考試的困難和信心。 Salesforce CRT-211 - 在如今這個人才濟濟的社會，穩固自己的職位是最好的生存方法。 在互聯網上，你可以找到各種培訓工具，準備自己的The Open Group OGEA-101考試認證，Shobhadoshi的The Open Group OGEA-101考試試題及答案是最好的培訓資料，我們提供了最全面的驗證問題及答案，讓你得到一年的免費更新期。 如果你要購買我們的Amazon的API API-936考題資料，Shobhadoshi將提供最好的服務和最優質得的品質，我們的認證考試軟體已經取得了廠商和第三方的授權，並且擁有大量的IT業的專業及技術專家，根據客戶的需求，根據大綱開發出的一系列產品，以保證客戶的最大需求，Amazon的API API-936考試認證資料具有最高的專業技術含量，可以作為相關知識的專家和學者學習和研究之用，我們提供所有的產品都有部分免費試用，在你購買之前以保證你考試的品質及適用性。

Updated: May 28, 2022