我們Goldmile-Infobiz的 Amazon的DOP-C01考試大綱的考題資料是按照相同的教學大綱來來研究的，同時也不斷升級我們的培訓材料，所以我們的考試培訓資料包括試題及答案，和實際的考試相似度非常高，所以形成了我們Goldmile-Infobiz的通過率也是非常的高，這也是不可否認的事實， 由此知道Goldmile-Infobiz Amazon的DOP-C01考試大綱考試培訓資料對考生的幫助，而且我們的價格絕對合理，適合每位IT認證的考生。 這幾年IT行業發展非常之迅速，那麼學IT的人也如洪水猛獸般迅速多了起來，他們為了使自己以後有所作為而不斷的努力，Amazon的DOP-C01考試大綱考試認證是IT行業必不可少的認證，許多人為想通過此認證而感到苦惱。今天我告訴大家一個好辦法，就是選擇Goldmile-Infobiz Amazon的DOP-C01考試大綱考試認證培訓資料，它可以幫助你們通過考試獲得認證，而且我們可以保證通過率100%，如果沒有通過，我們將保證退還全部購買費用，不讓你們有任何損失。 這個考古題包含了實際考試中一切可能出現的問題。
AWS Certified DevOps Engineer DOP-C01 这是经过很多人证明过的事实。
AWS Certified DevOps Engineer DOP-C01考試大綱 - AWS Certified DevOps Engineer - Professional 人生充滿選擇，選擇不一定給你帶來絕對的幸福，但選擇給了你絕對的機會，而一旦錯過選擇，只能凝望。 而且，Goldmile-Infobiz也是當前市場上最值得你信賴的網站。Goldmile-Infobiz長年以來一直向大家提供與IT認證考試相關的參考資料。
多年以來，Goldmile-Infobiz一直致力於為廣大參加IT認證考試的考生們提供最優秀並且最值得信賴的參考資料。關於IT認證考試的出題，Goldmile-Infobiz有著豐富的經驗。而且，Goldmile-Infobiz已經幫助過無數的考生，並得到了大家的信賴和表揚。
也有關於Amazon Amazon DOP-C01考試大綱認證考試的考試練習題和答案。
作為IT認證考試學習資料的專業團隊，Goldmile-Infobiz是您獲得高品質學習資料的來源。無論您需要尋找什么樣子的Amazon DOP-C01考試大綱考古題我們都可以提供，借助我們的DOP-C01考試大綱學習資料，您不必浪費時間去閱讀更多的參考書，只需花費20 – 30小時掌握我們的Amazon DOP-C01考試大綱題庫問題和答案，就可以順利通過考試。我們為您提供PDF版本的和軟件版，還有在線測試引擎題庫，其中DOP-C01考試大綱軟件版本的題庫，可以模擬真實的考試環境，以滿足大家的需求，這是最優秀的DOP-C01考試大綱學習資料。
Goldmile-Infobiz的產品是為你們參加Amazon DOP-C01考試大綱認證考試而準備的。Goldmile-Infobiz提供的培訓資料不僅包括與Amazon DOP-C01考試大綱認證考試相關的資訊技術培訓資料，來鞏固專業知識，而且還有準確性很高的關於Amazon DOP-C01考試大綱的認證考試的相關考試練習題和答案。
DOP-C01 PDF DEMO:
QUESTION NO: 1
A company has an application that has predictable peak traffic times. The company wants the application instances to scale up only during the peak times. The application stores state in Amazon
DynamoDB. The application environment uses a standard Node.js application stack and custom Chef recipes stored in a private Git repository.
Which solution is MOST cost-effective and requires the LEAST amount of management overhead when performing rolling updates of the application environment?
A. Configure AWS OpsWorks stacks and push the custom recipes to an Amazon S3 bucket and configure custom recipes to point to the S3 bucket. Then add an application layer type for a standard
Node.js application server and configure the custom recipe to deploy the application in the deploy step from the S3 bucket. Configure time-based instances and attach an Amazon EC2 IAM role that provides permission to access DynamoDB
B. Create a custom AMI with the Node.js environment and application stack using Chef recipes. Use the AMI in an Auto Scaling group and set up scheduled scaling for the required times, then set up an
Amazon EC2 IAM role that provides permission to access DynamoDB.
C. Create a Docker file that uses the Chef recipes for the application environment based on an official
Node.js Docker image. Create an Amazon ECS cluster and a service for the application environment, then create a task based on this Docker image. Use scheduled scaling to scale the containers at the appropriate times and attach a task-level IAM role that provides permission to access DynamoD
D. Configure AWS OpsWorks stacks and use custom Chef cookbooks. Add the Git repository information where the custom recipes are stored, and add a layer in OpsWorks for the Node.js application server.
Then configure the custom recipe to deploy the application in the deploy step. Configure time-based instances and attach an Amazon EC2 IAM role that provides permission to access DynamoDB.
Answer: A
QUESTION NO: 2
An Application team is refactoring one of its internal tools to run in AWS instead of on- premises hardware.
All of the code is currently written in Python and is standalone. There is also no external state store or relational database to be queried.
Which deployment pipeline incurs the LEAST amount of changes between development and production?
A. Developers should use their native Python environment. When Dependencies are changed and a new container is ready, use AWS CodePipeline and AWS CodeBuild to perform functional tests and then upload the new container to the Amazon ECR. Use AWS CloudFormation with the custom container to deploy the new Amazon ECS.
B. Developers should use Docker for local development. Use AWS SMS to import these containers as
AMIs for Amazon EC2 whenever dependencies are updated. Use AWS CodePipeline to test new code changes against the Auto Scaling group.
C. Developers should use their native Python environment. When Dependencies are changed and a new code is ready, use AWS CodePipeline and AWS CodeBuild to perform functional tests and then upload the new container to the Amazon ECR. Use CodePipeline and CodeBuild with the custom container to test new code changes inside AWS Elastic Beanstalk
Answer: B
QUESTION NO: 3
A Security team is concerned that a Developer can unintentionally attach an Elastic IP address to an Amazon EC2 instance in production. No Developer should be allowed to attach an Elastic IP address to an instance.
The Security team must be notified if any production server has an Elastic IP address at any time.
How can this task be automated?
A. Ensure that all IAM groups are associated with Developers do not have associate-address permissions.
Create a scheduled AWS Lambda function to check whether an Elastic IP address is associated with any instance tagged as production, and alert the Security team if an instance has an Elastic IP address associated with it.
B. Create an AWS Config rule to check that all production instances have the EC2 IAM roles that include deny associate-address permissions. Verify whether there is an Elastic IP address associated with any instance, and alert the Security team if an instance has an Elastic IP address associated with it.
C. Use Amazon Athena to query AWS CloudTrail logs to check for any associate-address attempts.
Create an AWS Lambda function to dissociate the Elastic IP address from the instance, and alert the
Security team.
D. Attach an IAM policy to the Developer's IAM group to deny associate-address permissions. Create a custom AWS Config rule to check whether an Elastic IP address is associated with any instance tagged as production, and alert the Security team.
Answer: D
QUESTION NO: 4
A company is migrating an application to AWS that runs on a single Amazon EC2 instance.
Because of licensing limitations, the application does not support horizontal scaling. The application will be using Amazon Aurora for its database.
How can the DevOps Engineer architect automated healing to automatically recover from EC2 and
Aurora failures, in addition to recovering across Availability Zones (AZs), in the MOST cost-effective manner?
A. Create an EC2 instance and enable instance recovery. Create an Aurora database with a read replica in a second AZ, and promote it to a primary database instance if the primary database instance fails.
B. Create an Amazon CloudWatch Events rule to trigger an AWS Lambda function to start a new EC2 instance in an available AZ when the instance status reaches a failure state. Create an Aurora database with a read replica in a second AZ, and promote it to a primary database instance when the primary database instance fails.
C. Create an EC2 Auto Scaling group with a minimum and maximum instance count of 1, and have it span across AZs. Use a single-node Aurora instance.
D. Assign an Elastic IP address on the instance. Create a second EC2 instance in a second AZ. Create an Amazon CloudWatch Events rule to trigger an AWS Lambda function to move the Elastic IP address to the second instance when the first instance fails. Use a single-node Aurora instance.
Answer: B
QUESTION NO: 5
A DevOps Engineer must create a Linux AMI in an automated fashion. The newly created AMI identification must be stored in a location where other build pipelines can access the new identification programmatically What is the MOST cost-effective way to do this?
A. Build a pipeline in AWS CodePipeline to download and save the latest operating system Open
Virtualization Format (OVF) image to an Amazon S3 bucket, then customize the image using the guestfish utility. Use the virtual machine (VM) import command to convert the OVF to an AMI, and store the AMI identification output as an AWS Systems Manager parameter.
B. Create an AWS Systems Manager automation document with values instructing how the image should be created. Then build a pipeline in AWS CodePipeline to execute the automation document to build the AMI when triggered. Store the AMI identification output as a Systems Manager parameter.
C. Launch an Amazon EC2 instance and install Packer. Then configure a Packer build with values defining how the image should be created. Build a Jenkins pipeline to invoke the Packer build when triggered to build an AMI. Store the AMI identification output in an Amazon DynamoDB table.
D. Build a pipeline in AWS CodePipeline to take a snapshot of an Amazon EC2 instance running the latest version of the application. Then start a new EC2 instance from the snapshot and update the running instance using an AWS Lambda function. Take a snapshot of the updated instance, then convert it to an AMI. Store the AMI identification output in an Amazon DynamoDB table.
Answer: C
Goldmile-Infobiz提供的培訓工具包含關於Amazon SAP C_ARCON_2508認證考試的學習資料及類比訓練題，更重要的是還會給出跟考試很接近的練習題和答案。 Linux Foundation KCSA - 如果你考試不小心失敗了，我們保證立刻地100%全額退款給您。 很多準備參加Amazon Microsoft PL-400 認證考試的考生在網上也許看到了很多網站也線上提供有關Amazon Microsoft PL-400 認證考試的資源。 Goldmile-Infobiz的培訓課程是Goldmile-Infobiz的專家團隊利用自己的知識和經驗為Amazon Juniper JN0-452 認證考試而研究出來的。 Linux Foundation KCSA - 如果你考試失敗，我們會全額退款給你。
Updated: May 28, 2022