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DOP-C01 Test Study Guide, DOP-C01 Real Exams

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Amazon AWS-DevOps certification exam is an advanced level certification offered by Amazon Web Services (AWS) for DevOps professionals. AWS Certified DevOps Engineer - Professional certification is designed to validate the skills and knowledge of candidates in designing, deploying, and managing highly available, fault-tolerant, and scalable systems on AWS. AWS Certified DevOps Engineer - Professional certification exam is based on the AWS Certified DevOps Engineer - Professional (DOP-C01) exam, which is a comprehensive exam covering a wide range of DevOps concepts and practices.

The Amazon DOP-C01 Exam covers a wide range of topics related to DevOps on AWS, including continuous integration and delivery (CI/CD), infrastructure as code (IaC), monitoring and logging, security and compliance, and scalability and elasticity. Candidates will be tested on their knowledge of AWS services such as AWS CloudFormation, AWS Elastic Beanstalk, AWS CodeDeploy, AWS CodePipeline, and AWS CloudWatch.

Amazon AWS-DevOps (AWS Certified DevOps Engineer - Professional (DOP-C01)) certification exam is designed to test the skills and knowledge of professionals who work with DevOps practices and technologies in the Amazon Web Services (AWS) environment. AWS Certified DevOps Engineer - Professional certification is ideal for individuals who have expertise in deploying, managing, and operating highly available, fault-tolerant, and scalable systems on AWS. It is also suited for those who have experience with automation and monitoring of infrastructure and applications.

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Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q243-Q248):

NEW QUESTION # 243
You have carried out a deployment using Elastic Beanstalk with All at once method, but the application is unavailable. What could be the reason for this

A. You need to configure ELB along with Elastic Beanstalk
B- You need to configure Route53 along with Elastic Beanstalk
B. The cooldown period is not properly configured for Elastic Beanstalk
C. There will always be a few seconds of downtime before the application is available

Answer: B

Explanation:
Explanation
The AWS Documentation mentions
Because Elastic Beanstalk uses a drop-in upgrade process, there might be a few seconds of downtime. Use rolling deployments to minimize the effect of deployments on your production environments.
For more information on troubleshooting Elastic Beanstalk, please refer to the below link:
* http://docs.aws.amazon.com/elasticbeanstalk/latest/dg/troubleshooting-deployments.html
* https://docs.aws.amazon.com/elasticbeanstalk/latest/dg/using-features.deploy-existing-version,html

NEW QUESTION # 244
You have a web application running on six Amazon EC2 instances, consuming about 45% of resources on each instance. You are using auto-scaling to make sure that six instances are running at all times. The number of requests this application processes is consistent and does not experience spikes. The application is critical to your business and you want high availability at all times. You want the load to be distributed evenly between all instances. You also want to use the same Amazon Machine Image (AMI) for all instances. Which of the following architectural choices should you make?

A. Deploy3 EC2 instances in one availability zone and 3 in another availability zone anduse Amazon Elastic Load Balancer.
B. Deploy6 EC2 instances in one availability zone and use Amazon Elastic Load Balancer.
C. Deploy3 EC2 instances in one region and 3 in another region and use Amazon ElasticLoad Balancer.
D. Deploy2 EC2 instances in three regions and use Amazon Elastic Load Balancer.

Answer: A

Explanation:
Explanation
Option A is automatically incorrect because remember that the question asks for high availability. For option A, if the A2 goes down then the entire application fails.
For Option B and D, the CLB is designed to only run in one region in aws and not across multiple regions. So these options are wrong.
The right option is C.
The below example shows an Elastic Loadbalancer connected to 2 EC2 instances connected via Auto Scaling.
This is an example of an elastic and scalable web tier.
By scalable we mean that the Auto scaling process will increase or decrease the number of CC2 instances as required.

For more information on best practices for AWS Cloud applications, please visit the below URL:
* https://d03wsstatic.com/whitepapers/AWS_Cloud_Best_Practices.pdf

NEW QUESTION # 245
After presenting a working proof of concept for a new application that uses AWS API Gateway, a Developer must set up a team development environment for the project. Due to a tight timeline, the Developer wants to minimize time spent on infrastructure setup, and would like to reuse the code repository created for the proof of concept. Currently, all source code is stored in AWS CodeCommit.
Company policy mandates having alpha, beta, and production stages with separate Jenkins servers to build code and run tests for every stage. The Development Manager must have the ability to block code propagation between admins at any time. The Security team wants to make sure that users will not be able to modify the environment without permission.
How can this be accomplished?

A. Create an AWS CodePipeline pipeline that pulls code from the CodeCommit repository. Create alpha, beta, and production stages with Jenkins servers on CodePipeline.
B. Create API Gateway alpha, beta, and production stages. Create an AWS CodePipeline that pulls code from the CodeCommit repository. Create CodePipeline actions to deploy code to the API Gateway stages.
C. Create Jenkins servers for the alpha, beta, and production stages on Amazon EC2 instances. Create multiple CodeCommit triggers to deploy code to different stages using an AWS Lambda function.
D. Create API Gateway alpha, beta, and production stages. Create a CodeCommit trigger to deploy code to the different stages using an AWS Lambda function.

Answer: A

NEW QUESTION # 246
If I want Cloud Formation stack status updates to show up in a continuous delivery system in as close to real time as possible, how should I achieve this?

A. Subscribe your continuous delivery system to an SQS queue that you also tell your CloudFormation stack to publish events into.
B. Use a long-poll on the Resources object in your Cloud Formation stack and display those state changes in the Ul for the system.
C. Use a long-poll on the ListStacksAPI call for your CloudFormation stack and display those state changes in the Ul for the system.
D. Subscribe your continuous delivery system to an SNS topic that you also tell your CloudFormation stack to publish events into. V

Answer: D

Explanation:
Explanation
Answer - C
You can monitor the progress of a stack update by viewing the stack's events. The console's Cvents tab displays each major step in the creation and update of the stack sorted by the time of each event with latest events on top. The start of the stack update process is marked with an UPDATE_IN_PROGRCSS event for the stack For more information on Monitoring your stack, please visit the below URL:
* http://docs.aws.amazon.com/AWSCIoudFormation/latest/UserGuide/using-cfn-updating-stacks-monitor-st html

NEW QUESTION # 247
You are in charge of designing a Cloudformation template which deploys a LAMP stack. After deploying a stack, you see that the status of the stack is showing as CREATE_COMPLETE, but the apache server is still not up and running and is experiencing issues while starting up. You want to ensure that the stack creation only shows the status of CREATE_COMPLETE after all resources defined in the stack are up and running.
How can you achieve this?
Choose 2 answers from the options given below.

A. Definea stack policy which defines that all underlying resources should be up andrunning before showing a status of CREATE_COMPLETE.
B. Uselifecycle hooks to mark the completion of the creation and configuration of theunderlying resource.
C. Usethe CFN helper scripts to signal once the resource configuration is complete.
D. Usethe CreationPolicy to ensure it is associated with the EC2 Instance resource.

Answer: C,D

Explanation:
Explanation
The AWS Documentation mentions
When you provision an Amazon EC2 instance in an AWS Cloud Formation stack, you might specify additional actions to configure the instance, such as install software packages or bootstrap applications.
Normally, CloudFormation proceeds with stack creation after the instance has been successfully created.
However, you can use a Creation Pol icy so that CloudFormation proceeds with stack creation only after your configuration actions are done. That way you'll know your applications are ready to go after stack creation succeeds.
For more information on the Creation Policy, please visit the below url
https://aws.amazon.com/blogs/devops/use-a-creationpolicy-to-wait-for-on-instance-configurations/

NEW QUESTION # 248
......

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