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To prepare for the DOP-C01 exam, candidates should have a strong background in AWS and DevOps. AWS offers a variety of training courses and resources to help candidates prepare for the exam, including instructor-led training, online courses, and practice exams. Candidates should also have hands-on experience working with AWS services and applications in a DevOps environment.
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The AWS Certified DevOps Engineer - Professional exam covers a wide range of topics, including deployment automation, monitoring, logging, and performance optimization. It also includes topics related to security, compliance, and governance. AWS-DevOps-Engineer-Professional Exam is designed to validate a candidate's ability to design, deploy, and manage scalable and fault-tolerant systems on AWS.
To prepare for the Amazon DOP-C01 certification exam, candidates should have a deep understanding of AWS services, DevOps practices, and automation tools. They should also have hands-on experience with AWS services and be able to design, deploy, and manage highly available and fault-tolerant systems on the AWS platform. Additionally, candidates should be able to apply DevOps principles to solve business problems and improve the efficiency and reliability of their organizations' IT systems.
Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q393-Q398):
NEW QUESTION # 393
To override an allow in an IAM policy, you set the Effect element to ______.
- A. Block
- B. Stop
- C. Allow
- D. Deny
Answer: D
Explanation:
By default, access to resources is denied. To allow access to a resource, you must set the Effect element to Allow. To override an allow (for example, to override an allow that is otherwise in force), you set the Effect element to Deny.
Reference:
http://docs.aws.amazon.com/IAM/latest/UserGuide/AccessPolicyLanguage_ElementDescriptions.
html
NEW QUESTION # 394
What is the maximum supported single-volume throughput on EBS?
- A. 640MiB/s
- B. 320MiB/s
- C. 40MiB/s
- D. 160MiB/s
Answer: B
Explanation:
The ceiling throughput for PIOPS on EBS is 320MiB/s.
http://docs.aws.amazon.com/AWSEC2/latest/UserGuide/EBSVolumeTypes.html
NEW QUESTION # 395
You work for a company that has multiple applications which are very different and built on different programming languages. How can you deploy applications as quickly as possible?
- A. Create a Lambda function deployment package consisting of code and any dependencies
- B. Develop each app in a separate Docker container and deploy using Elastic Beanstalk V
- C. Develop each app in one Docker container and deploy using ElasticBeanstalk
- D. Develop each app in a separate Docker containers and deploy using CloudFormation
Answer: B
Explanation:
Explanation
Elastic Beanstalk supports the deployment of web applications from Docker containers. With Docker containers, you can define your own runtime environment. You can choose your own platform, programming language, and any application dependencies (such as package managers or tools), that aren't supported by other platforms. Docker containers are self-contained and include all the configuration information and software your web application requires to run.
Option A is an efficient way to use Docker. The entire idea of Docker is that you have a separate environment for various applications.
Option B is ideally used to running code and not packaging the applications and dependencies Option D is not ideal deploying Docker containers using Cloudformation For more information on Docker and Clastic Beanstalk, please visit the below URL:
http://docs.aws.a
mazon.com/elasticbeanstalk/latest/dg/create_deploy_docker.html
NEW QUESTION # 396
You have an Auto Scaling group with 2 AZs. One AZ has 4 EC2 instances and the other has 3 EC2 instances.
None of the instances are protected from scale in. Based on the default Auto Scaling termination policy what will happen?
- A. Auto Scaling terminates which unprotected instances are closest to the next billing hour.
- B. Auto Scaling will terminate unprotected instances in the Availability Zone with the oldest launch configuration.
- C. Auto Scaling selects an instance to terminate randomly
- D. Auto Scaling will select the AZ with 4 EC2 instances and terminate an instance.
Answer: D
Explanation:
Explanation
The default termination policy is designed to help ensure that your network architecture spans Availability Zones evenly. When using the default termination policy.
Auto Scaling selects an instance to terminate as follows:
Auto Scaling determines whether there are instances in multiple Availability Zones. If so, it selects the Availability Zone with the most instances and at least one instance that is not protected from scale in. If there is more than one Availability Zone with this number of instances. Auto Scaling selects the Availability Zone with the instances that use the oldest launch configuration. For more information on Autoscaling instance termination please refer to the below link:
* http://docs.aws.amazon.com/autoscaling/latest/userguide/as-instance-termination.html
NEW QUESTION # 397
A company is building a web and mobile application that uses a serverless architecture powered by AWS Lambda and Amazon API Gateway. The company wants to fully automate the backend Lambda deployment based on code that is pushed to the appropriate environment branch in an AWS CodeCommit repository.
The deployment must have the following:
* Separate environment pipelines for testing and production.
* Automatic deployment that occurs for test environments only.
Which steps should be taken to meet these requirements?
- A. Create an AWS CodeBuild configuration for test and production environments. Configure the production pipeline to have a manual approval step. Create one CodeCommit repository with a branch for each environment. Push the Lambda function code to an Amazon S3 bucket. Set up the deployment step to deploy the Lambda functions from the S3 bucket.
- B. Create two AWS CodePipeline configurations for test and production environments. Configure the production pipeline to have a manual approval step. Create one CodeCommit repository with a branch for each environment. Set up each CodePipeline to retrieve the source code from the appropriate branch in the repository. Set up the deployment step to deploy the Lambda functions with AWS CloudFormation.
- C. Create two AWS CodePipeline configurations for test and production environments. Configure the production pipeline to have a manual approval step. Create a CodeCommit repository for each environment. Set up each CodePipeline to retrieve the source code from the appropriate repository. Set up the deployment step to deploy the Lambda functions with AWS CloudFormation.
- D. Configure a new AWS CodePipeline service. Create a CodeCommit repository for each environment.
Set up CodePipeline to retrieve the source code from the appropriate repository. Set up a deployment step to deploy the Lambda functions with AWS CloudFormation.
Answer: C
NEW QUESTION # 398
......
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