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The AWS Certified DevOps Engineer - Professional (DOP-C01) exam is a professional-level certification exam offered by Amazon Web Services (AWS) for IT professionals who want to validate their skills in the DevOps field. AWS-DevOps Exam is intended for individuals who have experience with DevOps practices and principles, and who are proficient in developing, deploying, and maintaining AWS applications.

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AWS Certified DevOps Engineer Professional is the professional-level certification for those who have already passed the AWS SysOps Associate Administrator and the AWS Associate Developer. Although there are no prerequisites for any AWS certification, it is still recommended to follow a level learning path.

The DevOps Engineer Professional exam of the AWS exam recognizes the technical skills and experience of candidates in the supply, management and management of application systems distributed on the AWS platform.

This exam validates the candidate's ability to:

Implementation and management of methodologies and continuous delivery systems on the AWS platform
Implementation of highly available, reliable, scalable, robust and secure systems in AWS
Design, maintenance and management of tools for the automation of operational processes.

some recommended AWS knowledge that will help them pass the certification exam. Some of therecommended and necessary knowledge for the DevOps Engineer exam are:

Experience in building automated infrastructures and administering operating systems.
Understanding of the latest development and operational methods and processes.
Ability to develop code in at least one high level programming language.
Minimum 2 years of experience in the operation, procurement and administration of the AWS environment

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Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q280-Q285):

NEW QUESTION # 280
A company has developed a Node.js web application which provides REST services to store and retrieve time series data. The web application is built by the Development team on company laptops, tested locally, and manually deployed to a single on-premises server, which accesses a local MySQL database. The company is starting a trial in two weeks, during which the application will undergo frequent updates based on customer feedback. The following requirements must be met:
- The team must be able to reliably build, test, and deploy new updates on a daily basis, without downtime or degraded performance.
- The application must be able to scale to meet an unpredictable number of concurrent users during the trial.
Which action will allow the team to quickly meet these objectives?

A. Create two Amazon Lightsail virtual private servers for Node.js; one for test and one for production.
Build the Node.js application using existing process and upload it to the new Lightsail test server using the AWS CLI. Test the application, and if it passes all tests, upload it to the production server. During the trial, monitor the production server usage, and if needed, increase performance by upgrading the instance type.
B. Develop an AWS CloudFormation template to create an Application Load Balancer and two Amazon EC2 instances with Amazon EBS (SSD) volumes in an Auto Scaling group with rolling updates enabled. Use AWS CodeBuild to build and test the Node.js application and store it in an Amazon S3 bucket. Use user-data scripts to install the application and the MySQL database on each EC2 instance.
Update the stack to deploy new application versions.
C. Configure AWS Elastic Beanstalk to automatically build the application using AWS CodeBuild and to deploy it to a test environment that is configured to support auto scaling. Create a second Elastic Beanstalk environment for production. Use Amazon RDS to store data. When new versions of the applications have passed all tests, use Elastic Beanstalk `swap cname' to promote the test environment to production.
D. Modify the application to use Amazon DynamoDB instead of a local MySQL database. Use AWS OpsWorks to create a stack for the application with a DynamoDB layer, an Application Load Balancer layer, and an Amazon EC2 instance layer. Use a Chef recipe to build the application and a Chef recipe to deploy the application to the EC2 instance layer. Use custom health checks to run unit tests on each instance with rollback on failure.

Answer: D

NEW QUESTION # 281
You are deciding on a deployment mechanism for your application. Which of the following deployment mechanisms provides the fastest rollback after failure.

A. Canary
B. Blue/Green
C. Rolling-Mutable
D. Rolling-Immutable

Answer: B

Explanation:
Explanation
In Blue Green Deployments, you will always have the previous version of your application available. So anytime there is an issue with a new deployment, you can just quickly switch back to the older version of your application.
For more information on Blue Green Deployments, please refer to the below link:
* https://docs.cloudfoundry.org/devguide/deploy-apps/blue-green.html

NEW QUESTION # 282
An e-commerce company is running a web application in an AWS Elastic Beanstalk environment.
In recent months, the average load of the Amazon EC2 instances has been increased to handle more traffic. The company would like to improve the scalability and resilience of the environment.
The Development team has been asked to decouple long-running tasks from the environment if the tasks can be executed asynchronously. Examples of these tasks include confirmation emails when users are registered to the platform, and processing images or videos. Also, some of the periodic tasks that are currently running within the web server should be offloaded.
What is the most time-efficient and integrated way to achieve this?

A. Create a second Elastic Beanstalk worker tier environment and deploy the application to process the asynchronous tasks there. Send the tasks that should be decoupled from the original Elastic Beanstalk web server environment to the auto-generated Amazon SQS queue by the Elastic Beanstalk worker environment. Place a cron.yaml file within the root of the application source bundle for the worker environment periodic tasks. Use environment links to link the web server environment with the worker environment.
B. Create an Amazon SQS queue and send the tasks that should be decoupled from the Elastic Beanstalk web server environment to the SQS queue. Create a fleet of EC2 instances under an Auto Scaling group. Use an AMI that contains the application to process the asynchronous tasks, configure the application to listen for messages within the SQS queue, and create periodic tasks by placing those into the cron in the operating system. Create an environment variable within the Elastic Beanstalk environment with a value pointing to the SQS queue endpoint.
C. Create a second Elastic Beanstalk web server tier environment and deploy the application to process the asynchronous tasks. Send the tasks that should be decoupled from the original Elastic Beanstalk web server to the auto-generated Amazon SQS queue by the Elastic Beanstalk web server tier environment. Place a cron.yaml file within the root of the application source bundle for the second web server tier environment with the necessary periodic tasks. Use environment links to link both web server environments.
D. Create an Amazon SQS queue and send the tasks that should be decoupled from the Elastic Beanstalk web server environment to the SQS queue. Create a fleet of EC2 instances under an Auto Scaling group. Install and configure the application to listen for messages within the SQS queue from UserData and create periodic tasks by placing those into the cron in the operating system. Create an environment variable within the Elastic Beanstalk web server environment with a value pointing to the SQS queue endpoint.

Answer: A

NEW QUESTION # 283
An IT team has built an AWS CloudFormation template so others in the company can quickly and reliably deploy and terminate an application. The template creates an Amazon EC2 instance with a user data script to install the application and an Amazon S3 bucket that the application uses to serve static webpages while it is running.
All resources should be removed when the CloudFormation stack is deleted. However, the team observes that CloudFormation reports an error during stack deletion, and the S3 bucket created by the stack is not deleted.
How can the team resolve the error in the MOST efficient manner to ensure that all resources are deleted without errors?

A. Add a custom resource when an AWS Lambda function with the DependsOnattribute specifying the S3 bucket, and an IAM role. Writhe the Lambda function to delete all objects from the bucket when the RequestTypeis Delete.
B. Add DeletionPolicyattribute to the S3 bucket resource, with the value Deleteforcing the bucket to be removed when the stack is deleted.
C. Identify the resource that was not deleted. From the S3 console, empty the S3 bucket and then delete it.
D. Replace the EC2 and S3 bucket resources with a single AWS OpsWorks Stacks resource. Define a custom recipe for the stack to create and delete the EC2 instance and the S3 bucket.

Answer: A

NEW QUESTION # 284
Your mobile application includes a photo-sharing service that is expecting tens of thousands of users at launch.
You will leverage Amazon Simple Storage Service (S3) for storage of the user Images, and you must decide how to authenticate and authorize your users for access to these images. You also need to manage the storage of these images. Which two of the following approaches should you use? Choose two answers from the options below

A. Use AWS Identity and Access Management (1AM) user accounts as your application-level user database, and offload the burden of authentication from your application code.
B. Create an Amazon S3 bucket per user, and use your application to generate the S3 URI for the appropriate content.
C. Authenticate your users at the application level, and send an SMS token message to the user. Create an Amazon S3 bucket with the same name as the SMS message token, and move the user's objects to that bucket.
D. Authenticate your users at the application level, and use AWS Security Token Service (STS) to grant token-based authorization to S3 objects.
E. Use a key-based naming scheme comprised from the user IDs for all user objects in a single Amazon S3 bucket.

Answer: D,E

Explanation:
Explanation
The AWS Security Token Service (STS) is a web service that enables you to request temporary, limited-privilege credentials for AWS Identity and Access Management (1AM) users or for users that you authenticate (federated users).
The token can then be used to grant access to the objects in S3.
You can then provides access to the objects based on the key values generated via the user id.
Option A is possible but then becomes a maintenance overhead because of the number of buckets.
Option B is invalid because 1AM users is not a good security practice.
Option D is invalid because SMS tokens are not efficient for this requirement.
For more information on the Security Token Service please refer to the below link:
* http://docs.aws.amazon.com/STS/latest/APIReference/Welcome.htrril

NEW QUESTION # 285
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