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The AWS-DevOps exam requires the candidates to have a strong understanding of AWS services, such as Amazon EC2, Amazon S3, and Amazon RDS, and how to use them to build, deploy, and manage applications. AWS-DevOps-Engineer-Professional Exam also assesses the candidates’ ability to design and implement complex, multi-tier, and distributed systems on the AWS platform. Additionally, the exam evaluates the candidate’s knowledge of security best practices and how to apply them in the DevOps environment. Overall, the AWS-DevOps certification is ideal for professionals who want to demonstrate their expertise in DevOps and AWS and advance their careers in these fields.
Achieving the AWS Certified DevOps Engineer - Professional certification demonstrates a high level of expertise in designing and implementing DevOps practices in an AWS environment. It validates an individual's skills in automating and optimizing AWS services, building and managing continuous delivery pipelines, and implementing security and compliance policies. Obtaining this certification can enhance an individual's career prospects and open up new opportunities in the rapidly growing field of DevOps.
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Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q125-Q130):
NEW QUESTION # 125
A company is adopting AWS CodeDeploy to automate its application deployments for a Java- Apache Tomcat application with an Apache webserver. The Development team started with a proof of concept, created a deployment group for a developer environment, and performed functional tests within the application. After completion, the team will create additional deployment groups for staging and production The current log level is configured within the Apache settings, but the team wants to change this configuration dynamically when the deployment occurs, so that they can set different log level configurations depending on the deployment group without having a different application revision for each group.
How can these requirements be met with the LEAST management overhead and without requiring different script versions for each deployment group?
- A. Tag the Amazon EC2 instances depending on the deployment group. Then place a script into the application revision that calls the metadata service and the EC2 API to identify which deployment group the instance is part of. Use this information to configure the log level settings. Reference the script as part of the Afterinstall lifecycle hook in the appspec yml file.
- B. Create a script that uses the CodeDeploy environment variable DEPLOYMENT_GROUP_NAME to identify which deployment group the instances is part of. Use this information to configure the log level settings. Reference this script as part of the Beforelnstall lifecycle hook in the appspec.yml file
- C. Create a script that uses the CodeDeploy environment variable DEPLOYMENT_GROUP_ID to identify which deployment group the instance is part of to configure the log level settings.
Reference this script as part of the Install lifecycle hook in the appspec yml file. - D. Create a CodeDeploy custom environment variable for each environment. Then place a script into the application revision that checks this environment variable to identify which deployment group the instance is part of. Use this information to configure the log level settings. Reference this script as part of the ValidateService lifecycle hook in the appspec yml file.
Answer: B
NEW QUESTION # 126
When thinking of AWS Elastic Beanstalk, which statement is true?
- A. Worker tiers pull jobs from HTTP.
- B. Worker tiers pull jobs from SQS.
- C. Worker tiers pull jobs from JSON.
- D. Worker tiers pull jobs from SNS.
Answer: B
Explanation:
Elastic Beanstalk installs a daemon on each Amazon EC2 instance in the Auto Scaling group to process Amazon SQS messages in the worker environment. The daemon pulls data off the Amazon SQS queue, inserts it into the message body of an HTTP POST request, and sends it to a user-configurable URL path on the local host. The content type for the message body within an HTTP POST request is application/json by default.
http://docs.aws.amazon.com/elasticbeanstalk/latest/dg/using-features-managing-env-tiers.html
NEW QUESTION # 127
You have a multi-docker environment that you want to deploy to AWS. Which of the following configuration files can be used to deploy a set of Docker containers as an Elastic Beanstalk application?
- A. .ebextensions
- B. Dockerrunjson
- C. Dockerrun.awsjson
- D. Dockerfile
Answer: C
Explanation:
Explanation
A Dockerrun.aws.json file is an Clastic Beanstalk-specific JSON file that describes how to deploy a set of Docker containers as an Clastic Beanstalk application. You can use aDockerrun.aws.json file for a multicontainer Docker environment.
Dockerrun.aws.json describes the containers to deploy to each container instance in the environment as well as the data volumes to create on the host instance for the containers to mount.
* http://docs.aws.amazon.com/elasticbeanstalk/latest/dg/create_deploy_docker_v2config.html
NEW QUESTION # 128
An ecommerce company is looking for ways to deploy an application on AWS that satisfies the following requirements:
- Has a simple and automated application deployment process.
- Has minimal deployment costs while ensuring that at least half of the instances are available to receive end-user requests.
- If the application fails, an automated healing mechanism will replace the affected instances.
Which deployment strategy will meet these requirements?
- A. Create an AWS Elastic Beanstalk environment and configure it to use Auto Scaling and an Elastic Load Balancer.
Use rolling deployments with a batch size of 50%. - B. Use AWS CodeDeploy with Auto Scaling and an Elastic Load Balancer.
Use the CodeDeployDefault.HalfAtAtime deployment strategy.
Enable an Elastic Load Balancing health check to report the status of the application, and set the Auto Scaling health check to ELB. - C. Use AWS CodeDeploy with Auto Scaling and an Elastic Load Balancer.
Use a blue/green deployment strategy.
Enable an Elastic Load Balancing health check to report the status of the application, and set the Auto Scaling health check to ELB. - D. Create an AWS OpsWorks stack.
Configure the application layer to use rolling deployments as a deployment strategy.
Add an Elastic Load Balancing layer.
Enable auto healing on the application layer.
Answer: B
NEW QUESTION # 129
A DevOps engineer is creating an AWS CloudFormation template to deploy a web service. The web service will run on Amazon EC2 instances in a private subnet behind an Application Load Balancer (ALB). The DevOps engineer must ensure that the service can accept requests from clients that have IPv6 addresses.
What should the DevOps engineer do with the CloudFormation template so that IPv6 clients can access the web service?
- A. Add an IPv6 CIDR block to the VPC and the private subnet for the EC2 instances. Create route table entries for the IPv6 network, use EC2 instance types that support IPv6, and assign IPv6 addresses to each EC2 instance.
- B. Assign each EC2 instance an IPv6 Elastic IP address. Create a target group, and add the EC2 instances as targets. Create a listener on port 443 of the ALB, and associated the target group with the ALB.
- C. Add an IPv6 CIDR block to the VPC and subnets for the ALB. Create a listener on port 443, and specify the dualstack IP address type on the ALB. Create a target group, and add the EC2 instances as targets. Associate the target group with the ALB.
- D. Replace the ALB with a Network Load Balancer (NLB). Add an IPv6 CIDR block to the VPC and subnets for the NLB, and assign the NLB an IPv6 Elastic IP address.
Answer: B
Explanation:
https://docs.aws.amazon.com/elasticloadbalancing/latest/application/application-load- balancers.html#load-balancer-address-type
NEW QUESTION # 130
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