Victoria Reed Victoria Reed's Profile Page

Victoria Reed Victoria Reed

0 Course Enrolled • 0 Course Completed

Biography

AWS-DevOps시험대비인증덤프자료 & AWS-DevOps시험패스가능한인증덤프

다른 사이트에서도Amazon AWS-DevOps인증시험관련 자료를 보셨다고 믿습니다.하지만 우리 Itexamdump의 자료는 차원이 다른 완벽한 자료입니다.100%통과 율은 물론Itexamdump을 선택으로 여러분의 직장생활에 더 낳은 개변을 가져다 드리며 ,또한Itexamdump를 선택으로 여러분은 이미 충분한 시험준비를 하였습니다.우리는 여러분이 한번에 통과하게 도와주고 또 일년무료 업데이트서비스도 드립니다.

AWS-DevOps-Engineer-Professional 자격증 시험을 응시하려면, 후보자는 AWS 서비스를 관리하고 운영하는 데 최소 2년 이상의 경험이 있어야하며 적어도 하나의 프로그래밍 언어에 능숙해야합니다. 또한 DevOps 관행에 대한 깊은 이해와 AWS 환경에서 이를 구현하는 방법이 필요합니다. 자격증 시험은 객관식 및 복수응답 문제로 구성되어 있으며, 시험 완료에는 170분이 주어집니다.

>> AWS-DevOps시험대비 인증덤프자료 <<

시험패스 가능한 AWS-DevOps시험대비 인증덤프자료 최신버전 문제

경쟁율이 치열한 IT업계에서 아무런 목표없이 아무런 희망없이 무미건조한 생활을 하고 계시나요? 다른 사람들이 모두 취득하고 있는 자격증에 관심도 없는 분은 치열한 경쟁속에서 살아남기 어렵습니다. Amazon인증 AWS-DevOps시험패스가 힘들다한들Itexamdump덤프만 있으면 어려운 시험도 쉬워질수 밖에 없습니다. Amazon인증 AWS-DevOps덤프에 있는 문제만 잘 이해하고 습득하신다면Amazon인증 AWS-DevOps시험을 패스하여 자격증을 취득해 자신의 경쟁율을 업그레이드하여 경쟁시대에서 안전감을 보유할수 있습니다.

Amazon AWS-DevOps-Engineer-Professional 인증 시험은 DevOps 실천 경험이 많은 개인과 Amazon Web Services (AWS)에 대한 광범위한 경험을 가진 개인을 대상으로 하는 전문 수준의 자격증입니다. 이 자격증 시험은 DevOps 실천을 사용하여 AWS에 응용 프로그램을 관리하고 배포하는 데 필요한 지식과 기술을 검증합니다. 이 자격증 시험은 또한 후보자의 AWS에서 응용 프로그램 배포 및 확장을 자동화하는 능력을 테스트하도록 설계되었습니다.

최신 AWS Certified DevOps Engineer AWS-DevOps 무료샘플문제 (Q425-Q430):

질문 # 425
What are the default memory limit policies for a Docker container?

A. Unlimited memory, unlimited kernel memory
B. Unlimited memory, limited kernel memory
C. Limited memory, limited kernel memory
D. Limited memory, unlimited kernel memory

정답：A

설명：
Kernel memory limits are expressed in terms of the overall memory allocated to a container. Consider the following scenarios: Unlimited memory, unlimited kernel memory: This is the default behavior. Unlimited memory, limited kernel memory: This is appropriate when the amount of memory needed by all cgroups is greater than the amount of memory that actually exists on the host machine. You can configure the kernel memory to never go over what is available on the host machine, and containers which need more memory need to wait for it. Limited memory, umlimited kernel memory: The overall memory is limited, but the kernel memory is not. Limited memory, limited kernel memory: Limiting both user and kernel memory can be useful for debugging memory-related problems. If a container is using an unexpected amount of either type of memory, it will run out of memory without affecting other containers or the host machine. Within this setting, if the kernel memory limit is lower than the user memory limit, running out of kernel memory will cause the container to experience an OOM error. If the kernel memory limit is higher than the user memory limit, the kernel limit will not cause the container to experience an OOM.
Reference:
https://docs.docker.com/engine/admin/resource_constraints/#--kernel-memory-details

질문 # 426
Your company is planning to develop an application in which the front end is in .Net and the backend is in DynamoDB. There is an expectation of a high load on the application. How could you ensure the scalability of the application to reduce the load on the DynamoDB database? Choose an answer from the options below.

A. Increase write capacity of Dynamo DB to meet the peak loads
B. Add more DynamoDB databases to handle the load.
C. Launch DynamoDB in Multi-AZ configuration with a global index to balance writes
D. Use SQS to assist and let the application pull messages and then perform the relevant operation in DynamoDB.

정답：D

설명：
Explanation
When the idea comes for scalability then SQS is the best option. Normally DynamoDB is scalable, but since one is looking for a cost effective solution, the messaging in SQS can assist in managing the situation mentioned in the question.
Amazon Simple Queue Service (SQS) is a fully-managed message queuing service for reliably communicating among distributed software components and microservices - at any scale. Building applications from individual components that each perform a discrete function improves scalability and reliability, and is best practice design for modern applications. SQS makes it simple and cost-effective to decouple and coordinate the components of a cloud application. Using SQS, you can send, store, and receive messages between software components at any volume, without losing messages or requiring other services to be always available For more information on SQS, please refer to the below URL:
* https://aws.amazon.com/sqs/

질문 # 427
You are building a game high score table in DynamoDB. You will store each user's highest score for each game, with many games, all of which have relatively similar usage levels and numbers of players. You need to be able to look up the highest score for any game. What's the best DynamoDB key structure?

A. HighestScore as the hash / only key.
B. GameID as the range / only key.
C. GameID as the hash / only key.
D. GameID as the hash key, HighestScore as the range key.

정답：D

설명：
Since access and storage for games is uniform, and you need to have ordering within each game for the scores (to access the highest value), your hash (partition) key should be the GameID, and there should be a range key for HighestScore.
http://docs.aws.amazon.com/amazondynamodb/latest/developerguide/GuidelinesForTables.html# Guideli nesForTables.Partitions

질문 # 428
As part of your continuous deployment process, your application undergoes an I/O load performance test before it is deployed to production using new AMIs. The application uses one Amazon Elastic Block Store (EBS) PIOPS volume per instance and requires consistent I/O performance. Which of the following must be carried out to ensure that I/O load performance tests yield the correct results in a repeatable manner?

A. Ensure that the Amazon EBS volume is encrypted.
B. Ensure that the Amazon EBS volumes have been pre-warmed by reading all the blocks before the test.
C. Ensure that snapshots of the Amazon EBS volumes are created as a backup.
D. Ensure that the I/O block sizes for the test are randomly selected.

정답：B

설명：
Explanation
During the AMI-creation process, Amazon CC2 creates snapshots of your instance's root volume and any other CBS volumes attached to your instance New CBS volumes receive their maximum performance the moment that they are available and do not require initialization (formerly known as pre-warming).
However, storage blocks on volumes that were restored from snapshots must to initialized (pulled down from Amazon S3 and written to the volume) before you can access the block. This preliminary action takes time and can cause a significant increase in the latency of an I/O operation the first time each block is accessed. For most applications, amortizing this cost over the lifetime of the volume is acceptable.
Option A is invalid because block sizes are predetermined and should not be randomly selected.
Option C is invalid because this is part of continuous integration and hence volumes can be destroyed after the test and hence there should not be snapshots created unnecessarily Option D is invalid because the encryption is a security feature and not part of load tests normally.
For more information on CBS initialization please refer to the below link:
* http://docs.aws.a
mazon.com/AWSCC2/latest/UserGuide/ebs-in itialize.html

질문 # 429
A global company with distributed Development teams built a web application using a microservices architecture running on Amazon ECS. Each application service is independent and runs as a service in the ECS cluster. The container build files and source code reside in a private GitHub source code repository.
Separate ECS clusters exist for development, testing, and production environments.
Developers are required to push features to branches in the GitHub repository and then merge the changes into an environment-specific branch (development, test, or production). This merge needs to trigger an automated pipeline to run a build and a deployment to the appropriate ECS cluster.
What should the DevOps Engineer recommend as an automated solution to these requirements?

A. Create a pipeline in AWS CodePipeline. Configure it to be triggered by commits to the master branch in GitHub. Add a stage to use the Git commit message to determine which environment the commit should be applied to, then call the create-image Amazon ECR command to build the image, passing it to the container build file. Then add a stage to update the ECS task and service definitions in the appropriate cluster for that environment.
B. Create a separate pipeline in AWS CodePipeline for each environment. Trigger each pipeline based on commits to the corresponding environment branch in GitHub. Add a build stage to launch AWS CodeBuild to create the container image from the build file and push it to Amazon ECR. Then add another stage to update the Amazon ECS task and service definitions in the appropriate cluster for that environment.
C. Create a new repository in AWS CodeCommit. Configure a scheduled project in AWS CodeBuild to synchronize the GitHub repository to the new CodeCommit repository. Create a separate pipeline for each environment triggered by changes to the CodeCommit repository. Add a stage using AWS Lambda to build the container image and push to Amazon ECR. Then add another stage to update the ECS task and service definitions in the appropriate cluster for that environment.
D. Create an AWS CloudFormation stack for the ECS cluster and AWS CodePipeline services. Store the container build files in an Amazon S3 bucket. Use a post-commit hook to trigger a CloudFormation stack update that deploys the ECS cluster. Add a task in the ECS cluster to build and push images to Amazon ECR, based on the container build files in S3.

정답：D

질문 # 430
......

AWS-DevOps시험패스 가능한 인증덤프: https://www.itexamdump.com/AWS-DevOps.html