DOP-C01測試引擎 & DOP-C01學習資料 - Amazon DOP-C01題庫下載 - Royalholidayclubbed

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我們Royalholidayclubbed網站是個歷史悠久的Amazon的DOP-C01測試引擎考試認證培訓資料網站。在認證IT行業已經有很久了，所以才有今天赫赫有名的地位及知名度，這都是幫助那些考生而得到的結果。我們的Amazon的DOP-C01測試引擎考試認證培訓資料包含試題及答案，這些資料是由我們資深的IT專家團隊通過自己的知識及不斷摸索的經驗而研究出來的，它的內容有包含真實的考試題，如果你要參加Amazon的DOP-C01測試引擎考試認證，選擇Royalholidayclubbed是無庸置疑的選擇。客戶成功購買我們的DOP-C01測試引擎題庫資料之后，都將享受一年的免費更新服務，一年之內，如果您購買的DOP-C01測試引擎學習資料更新了，我們將免費發送最新版本的到您的郵箱。作為一名專業的IT人員，如何證明自己的能力，加強自己在公司的地位，獲得Amazon DOP-C01測試引擎認證可以提高你的IT技能，以獲得更好的工作機會。有了它你就可以毫不費力的通過了這麼困難的Amazon的DOP-C01測試引擎考試認證。

AWS Certified DevOps Engineer DOP-C01 來吧，你將是未來最棒的IT專家。

Royalholidayclubbed能為你提供一個可靠而全面的關於通過Amazon DOP-C01 - AWS Certified DevOps Engineer - Professional測試引擎認證考試的方案。一生輾轉千萬裏，莫問成敗重幾許，得之坦然，失之淡然，與其在別人的輝煌裏仰望，不如親手點亮自己的心燈，揚帆遠航。Royalholidayclubbed Amazon的DOP-C01 熱門題庫考試培訓資料將是你成就輝煌的第一步，有了它，你一定會通過眾多人都覺得艱難無比的Amazon的DOP-C01 熱門題庫考試認證，獲得了這個認證，你就可以在你人生中點亮你的心燈，開始你新的旅程，展翅翱翔，成就輝煌人生。

Royalholidayclubbed是個能夠加速你通過Amazon DOP-C01測試引擎認證考試的網站。我們的Amazon DOP-C01測試引擎 認證考試的考古題是Royalholidayclubbed的專家不斷研究出來的。當你還在為通過Amazon DOP-C01測試引擎 認證考試而奮鬥時，選擇Royalholidayclubbed的Amazon DOP-C01測試引擎 認證考試的最新考古題將給你的復習備考帶來很大的幫助。

Amazon DOP-C01測試引擎 - 這是通過考試最快的捷徑了。

Amazon DOP-C01測試引擎認證考試是IT人士在踏上職位提升之路的第一步。通過了Amazon DOP-C01測試引擎認證考試是你邁向事業頂峰的的墊腳石。Royalholidayclubbed可以幫助你通過Amazon DOP-C01測試引擎認證考試。

在這裏我想說的就是怎樣才能更有效率地準備DOP-C01測試引擎考試，並且一次就通過考試拿到考試的認證資格。Amazon的認證考試現在是很有人氣的考試。

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
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: 3
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: 4
A company has developed an AWS Lambda function that handles orders received through an
API. The company is using AWS CodeDeploy to deploy the Lambda function as the final stage of a
CI/CD pipeline. A DevOps Engineer has notices there are intermittent failures of the ordering API for a few seconds after deployment. After some investigation, the DevOps Engineer believes the failures are due to database changes the CloudFormation stack for the application lambda function begins executing. How should the DevOps Engineer overcome this?
A. Add a BeforeAllowTraffic hook to the AppSpec file that tests and waits for any necessary database changes before traffic can flow to the new version of the Lambda function
B. Add an AfterAllowTraffic hook to the AppSpec file that forces traffic to wait for any pending database changes before allowing the new version of the Lambda function to respond
C. Add a ValidateService hook to the AppSpec file that inspects incoming traffic and rejects the payload if dependent services such as the database are not yet ready
D. Add a BeforeInstall hook to the AppSpec file that tests and waits for any necessary database changes before deploying the new version of the Lambda function
Answer: B

QUESTION NO: 5
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

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Updated: May 28, 2022

by RHC.

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