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퍼펙트한AWS-DevOps-Engineer-Professional퍼펙트공부최신버전자료
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IT업계에 종사하는 분이라면 국제적으로 인정받는 IT인증시험에 도전하여 자격증을 취득하셔야 합니다. DumpTOP의 Amazon인증 AWS-DevOps-Engineer-Professional덤프는 이 시험에 참가한 IT인사들의 검증을 받은 최신 시험대비 공부자료입니다. DumpTOP의 Amazon인증 AWS-DevOps-Engineer-Professional덤프로 시험을 쉽게 패스하여 자격증을 취득하면 승진이나 연봉인상에 많은 편리를 가져다드립니다. 저희는 항상 여러분들의 곁을 지켜줄것입니다.
AWS-DevOps 시험을 응시하려면, 후보자는 AWS 서비스 및 도구를 사용하여 DevOps 역할에서 최소 2년의 경험을 보유해야 합니다. 또한, Agile 및 Lean 방법론에 능숙하며, 소프트웨어 개발 프로세스, 인프라 자동화 및 문제 해결에 대한 이해도가 높아야 합니다.
AWS Certified DevOps 엔지니어 - 전문 인증은 고용주와 동료에게 개인이 AWS 플랫폼에서 최신 DevOps 환경을 구현하고 관리하는 데 필요한 기술과 지식을 가지고 있음을 보여줍니다. 또한 전문가가 경쟁력있는 구직 시장에서 자신을 차별화하고 경력을 발전시키는 훌륭한 방법입니다. DevOps 엔지니어에 대한 수요가 증가함에 따라이 인증은 개인이 IT 산업에서 고임금을 확보하고 고임금을 확보하는 데 도움이 될 수 있습니다.
AWS-Devops 인증 시험은 DevOps, 지속적인 통합, 지속적인 배송 및 자동화 경험이있는 전문가를위한 것입니다. 시험은 Elastic Beanstalk, AWS CodePipeline, AWS Codedeploy, AWS Cloudformation 및 AWS Opsworks와 같은 AWS 서비스에 대한 후보자의 지식을 테스트합니다. 응시자는 AWS 플랫폼에 대한 철저한 이해와 AWS 서비스를 활용하여 응용 프로그램 및 인프라의 배포를 자동화하는 방법이 필요합니다.
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최신 AWS Certified DevOps Engineer AWS-DevOps-Engineer-Professional 무료샘플문제 (Q42-Q47):
질문 # 42
Management has reported an increase in the monthly bill from Amazon Web Services, and they are extremely concerned with this increased cost. Management has asked you to determine the exact cause of this increase.
After reviewing the billing report, you notice an increase in the data transfer cost. How can you provide management with a better insight into data transfer use?
- A. Update your Amazon CloudWatch metrics to use five-second granularity, which will give better detailed metrics that can be combined with your billing data to pinpoint anomalies.
- B. Deliver custom metrics to Amazon CloudWatch per application that breaks down application data transfer into multiple, more specific data points.
D- Using Amazon CloudWatch metrics, pull your Elastic Load Balancing outbound data transfer metrics monthly, and include them with your billing report to show which application is causing higher bandwidth usage. - C. Use Amazon CloudWatch Logs to run a map-reduce on your logs to determine high usage and data transfer.
정답:B
설명:
Explanation
You can publish your own metrics to CloudWatch using the AWS CLI or an API. You can view statistical graphs of your published metrics with the AWS Management Console.
CloudWatch stores data about a metric as a series of data points. Each data point has an associated time stamp.
You can even publish an aggregated set of data points called a statistic set.
If you have custom metrics specific to your application, you can give a breakdown to the management on the exact issue.
Option A won't be sufficient to provide better insights.
Option B is an overhead when you can make the application publish custom metrics Option D is invalid because just the ELB metrics will not give the entire picture For more information on custom metrics, please refer to the below document link: from AWS
* http://docs.aws.amazon.com/AmazonCloudWatch/latest/monitoring/publ
ishingMetrics.htmI
질문 # 43
A law firm is running a web application on AWS. The system manages legal documents uploaded by users, and stores the documents in Amazon S3. Users have complained that file uploads are taking too long and there are timeouts during peak usage. A DevOps engineer found that web servers are managing concurrent uploads and are overloaded.
Which actions should be taken to troubleshoot the issue in the MOST cost-effective manner?
- A. Place the web servers in an Amazon EC2 Auto Scaling group to include Spot Instances and modify the application to upload to Amazon S3 using multipart uploads.
- B. Create an AWS CloudFront distribution in front of the web servers, and modify the application to upload to Amazon S3 using S3 Transfer Acceleration.
- C. Modify the application so the browser uses a signed URL to directly upload to Amazon S3 using multipart uploads.
- D. Create an AWS CloudFront distribution in front of the web servers, and modify the application to store files in Amazon EFS in the Max I/O performance mode.
정답:B
질문 # 44
You're building a mobile application game. The application needs permissions for each user to communicate and store data in DynamoDB tables. What is the best method for granting each mobile device that installs your application to access DynamoDB tables for storage when required? Choose the correct answer from the options below
- A. During the install and game configuration process, have each user create an 1AM credential and assign the 1AM user to a group with proper permissions to communicate with DynamoDB.
- B. Create an Active Directory server and an AD user for each mobile application user. When the user signs in to the AD sign-on, allow the AD server to federate using SAML 2.0 to 1AM and assign a role to the AD user which is the assumed with AssumeRoleWithSAML
- C. Create an 1AM group that only gives access to your application and to the DynamoDB tables. Then, when writing to DynamoDB, simply include the unique device ID to associate the data with that specific user.
- D. Create an 1AM role with the proper permission policy to communicate with the DynamoDB table. Use web identity federation, which assumes the 1AM role using AssumeRoleWithWebldentity, when the user signs in, granting temporary security credentials using STS.
정답:D
설명:
Explanation
Answer - C
For access to any AWS service, the ideal approach for any application is to use Roles. This is the first preference.
For more information on 1AM policies please refer to the below link:
* http://docs.aws.a
mazon.com/IAM/latest/UserGuide/access_policies.html
Next for any web application, you need to use web identity federation. Hence option D is the right option. This along with the usage of roles is highly stressed in the aws documentation.
The AWS documentation mentions the following
When developing a web application it is recommend not to embed or distribute long-term AWS credentials with apps that a user downloads to a device, even in an encrypted store. Instead, build your app so that it requests temporary AWS security credentials dynamically when needed using web identity federation. The supplied temporary credentials map to an AWS role that has only the permissions needed to perform the tasks required by the mobile app.
For more information on web identity federation please refer to the below link:
* http://docs.aws.amazon.com/IAM/latest/UserGuide/id_roles_providers_oidc.html
질문 # 45
A company is using tagging to allocate AWS costs. The company has Amazon EC2 instances that run in Auto Scaling groups. The Amazon Elastic Block Store (Amazon EBS) volumes that are attached to the EC2 instances are being created without the appropriate cost center tags. A DevOps engineer must ensure that the new EBS volumes are properly tagged.
What is the MOST efficient solution that meets this requirement?
- A. Update the Auto Scaling group launch template to include the cost center tags for EBS volumes.
- B. Use Tag Editor to search for EBS volumes that are missing the tags and to add the cost center tags to the volumes.
- C. Create a lifecycle hook on the autoscaling:EC2_INSTANCE_TERMINATING instance state that attaches the cost center tags to the EBS volumes.
- D. Update the Auto Scaling group to include the cost center tags. Set the PropagateAtLaunch property to true.
정답:A
질문 # 46
Your company uses an application hosted in AWS which conists of EC2 Instances. The logs of the EC2 instances need to be processed and analyzed in real time, since this is a requirement from the IT Security department. Which of the following can be used to process the logs in real time.
- A. UseAmazon Glacier to store the logs and then use Amazon Kinesis to process andanalyze the logs in real time
- B. UseCloudwatch logs to process and analyze the logs in real time
- C. UseAmazon S3 to store the logs and then use Amazon Kinesis to process and analyzethe logs in real time
- D. Useanother EC2 Instance with a larger instance type to process the logs
정답:C
설명:
Explanation
The AWS Documentation mentions the below
Real-time metrics and reporting
You can use data collected into Kinesis Streams for simple data analysis and reporting in real time. For example, your data-processing application can work on metrics and reporting for system and application logs as the data is streaming in, rather than wait to receive batches of data.
Real-time data analytics
This combines the power of parallel processing with the value of real-time data. For example, process website clickstreams in real time, and then analyze site usability engagement using multiple different Kinesis Streams applications running in parallel.
Amazon Glacier is meant for Archival purposes and should not be used for storing the logs for real time processing.
For more information on Amazon Kinesis, please refer to the below link:
* http://docs.aws.amazon.com/streams/latest/dev/introduction.html
질문 # 47
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