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Amazon DOP-C01 certification exam covers a broad range of topics, including continuous integration and delivery (CI/CD), infrastructure as code (IaC), monitoring and logging, security, and compliance. To earn this certification, candidates must pass a rigorous exam that includes multiple-choice and multiple-response questions, as well as scenario-based questions that test their ability to apply DevOps best practices and AWS services to real-world scenarios.
The AWS-DevOps-Engineer-Professional Certification Exam covers a wide range of topics related to DevOps practices and AWS services. These topics include continuous integration and continuous delivery (CI/CD), infrastructure as code (IAC), monitoring and logging, security, and compliance. AWS-DevOps-Engineer-Professional exam also tests the candidate's ability to use AWS tools and services such as AWS CodePipeline, AWS CodeDeploy, AWS CloudFormation, and AWS Elastic Beanstalk.
Amazon DOP-C01 (AWS Certified DevOps Engineer - Professional) Certification Exam is designed for professionals who want to demonstrate their expertise in DevOps practices and technologies on the Amazon Web Services (AWS) platform. AWS Certified DevOps Engineer - Professional certification exam validates the skills required to deploy, manage, and operate highly available, scalable, and fault-tolerant systems on AWS. AWS-DevOps-Engineer-Professional Exam covers various aspects of DevOps, including continuous integration and delivery, infrastructure as code, monitoring and logging, and automation of AWS services.
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Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q368-Q373):
NEW QUESTION # 368
You are using Elastic Beanstalk for your development team. You are responsible for deploying multiple versions of your application. How can you ensure, in an ideal way, that you don't cross the application version limit in Elastic beanstalk?
- A. UseAWSConfig to delete the older versions
- B. Createa script to delete the older versions.
- C. Createa lambda function to delete the older versions.
- D. Uselifecyle policies in Elastic beanstalk
Answer: D
Explanation:
Explanation
The AWS Documentation mentions
Each time you upload a new version of your application with the Clastic Beanstalk console or the CB CLI, Elastic Beanstalk creates an application version. If you don't delete versions that you no longer use, you will eventually reach the application version limit and be unable to create new versions of that application.
You can avoid hitting the limit by applying an application version lifecycle policy to your applications. A lifecycle policy tells Clastic Beanstalk to delete application versions that are old, or to delete application versions when the total number of versions for an application exceeds a specified number.
For more information on Clastic Beanstalk lifecycle policies please see the below link:
* http://docs.aws.amazon.com/elasticbeanstalk/latest/dg/applications-lifecycle.html
NEW QUESTION # 369
What is the purpose of a Docker swarm worker node?
- A. service swarm node HTTP API endpoints
- B. executing containers
- C. maintaining cluster state
- D. scheduling services
Answer: B
Explanation:
Manager nodes handle cluster management tasks:
maintaining cluster state
scheduling services
serving swarm mode HTTP API endpoints
Worker nodes
Worker nodes are also instances of Docker Engine whose sole purpose is to execute containers.
Worker nodes don't participate in the Raft distributed state, make scheduling decisions, or serve the swarm mode HTTP API.
Reference:
https://docs.docker.com/engine/swarm/how-swarm-mode-works/nodes/#worker-nodes
NEW QUESTION # 370
You have an application running in us-west-2 that requires 6 EC2 instances running at all times. With 3 AZ
available in that region, which of the following deployments provides 100% fault tolerance if any single AZ in
us-west-2 becomes unavailable. Choose 2 answers from the options below
- A. us-west-2awith 2 instances, us-west-2b with 2 instances, us-west-2c with 2 instances
- B. us-west-2awith 3 instances, us-west-2b with 3 instances, us-west-2c with 0 instances
- C. us-west-2awith 6 instances, us-west-2b with 6 instances, us-west-2c with 0 instances
- D. us-west-2awith 3 instances, us-west-2b with 3 instances, us-west-2c with 3 instances
- E. us-west-2awith 4 instances, us-west-2b with 2 instances, us-west-2c with 2 instances
Answer: C,D
Explanation:
Explanation
Since we need 6 instances running at all times, only D and C fulfil this option.
The AWS documentation mentions the following on Availability zones
When you launch an instance, you can select an Availability Zone or let us choose one for you. If you
distribute your instances across multiple Availability Zones and
one instance fails, you can design your application so that an instance in another Availability Zone can handle
requests.
For more information on Regions and AZ's please visit the URL:
* http://docs.aws.amazon.com/AWSCC2/latest/UserGuide/using-regions-avai
lability-zones.htm I
NEW QUESTION # 371
A retail company is currently hosting a Java-based application in its on-premises data center. Management wants the DevOps Engineer to move this application to AWS. Requirements state that while keeping high availability, infrastructure management should be as simple as possible. Also, during deployments of new application versions, while cost is an important metric, the Engineer needs to ensure that at least half of the fleet is available to handle user traffic. What option requires the LEAST amount of management overhead to meet these requirements?
- A. Create an AWS Elastic Beanstalk Java-based environment using Auto Scaling and load balancing. Configure the network setting for the environment to launch instances across subnets in different Availability Zones. Use "Rolling with additional batch" as a deployment strategy with a batch size of 50%.
- B. Create an AWS CodeDeploy deployment group and associate it with an Auto Scaling group configured to launch instances across subnets in different Availability Zones. Configure an in-place deployment with a CodeDeploy.HalfAtAtime configuration for application deployments.
- C. Create an AWS Elastic Beanstalk Java-based environment using Auto Scaling and load balancing. Configure the network options for the environment to launch instances across subnets in different Availability Zones. Use "Rolling" as a deployment strategy with a batch size of 50%.
- D. Create an AWS CodeDeploy deployment group and associate it with an Auto Scaling group configured to launch instances across subnets in different Availability Zones. Configure an in-place deployment with a custom deployment configuration with the MinimumHealthyHosts option set to type FLEET_PERCENT and a value of 50.
Answer: B
Explanation:
Rolling with batches keep 100% up yoiu need 50%. With rolling deployments, Elastic Beanstalk splits the environment's EC2 instances into batches and deploys the new version of the application to one batch at a time, leaving the rest of the instances in the environment running the old version of the application. https://docs.aws.amazon.com/elasticbeanstalk/latest/dg/using-features.rolling-version-deploy.html
NEW QUESTION # 372
The management team at a company with a large on-premises OpenStack environment wants to move non-production workloads to AWS. An AWS Direct Connect connection has been provisioned and configured to connect the environments. Due to contractual obligations, the production workloads must remain on- premises, and will be moved to AWS after the next contract negotiation. The company follows Center for Internet Security (CIS) standards for hardening images; this configuration was developed using the company's configuration management system. Which solution will automatically create an identical image in the AWS environment without significant overhead?
- A. Log in to the console, launch an Amazon EC2 instance, and install the configuration management agent. When changes are applied through the configuration management system, log in to the console and create a new AMI from the instance.
- B. Write an AWS CloudFormation template that will create an Amazon EC2 instance. Use cloud-unit to install the configuration management agent, use cfn-wait to wait for configuration management to successfully apply, and use an AWS Lambda-backed custom resource to create the AMI.
- C. When a change is made in the configuration management system, a job in Jenkins is triggered to use the VM Import command to create an Amazon EC2 instance in the Amazon VPC. Use lifecycle hooks to launch an AWS Lambda function to create the AMI.
- D. Create a new AWS OpsWorks layer and mirror the image hardening standards. Use this layer as the baseline for all AWS workloads.
Answer: C
Explanation:
https://www.brad-x.com/2015/10/01/importing-an-openstack-vm-into-amazon-ec2/
https://aws.amazon.com/ec2/vm-import/
NEW QUESTION # 373
......
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