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DOP-C01 Passleader Review | New DOP-C01 Exam Bootcamp
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The AWS-DevOps-Engineer-Professional certification exam consists of multiple-choice and multiple-response questions, as well as a hands-on lab component. DOP-C01 Exam covers a range of topics, including software development processes, continuous integration and delivery, infrastructure as code, monitoring and logging, and security and compliance.
Amazon DOP-C01 (AWS Certified DevOps Engineer - Professional) Certification Exam is a widely recognized certification that validates a candidate's proficiency in designing, deploying, and operating applications and infrastructure on the AWS platform. AWS Certified DevOps Engineer - Professional certification is ideal for professionals working in the field of DevOps, who are responsible for automating and streamlining the software delivery process.
Achieving the AWS-DevOps certification demonstrates proficiency in DevOps practices and AWS services, and can lead to improved career opportunities and higher salaries. It also shows that the certified professional has the skills and knowledge required to design, implement, and manage highly scalable and efficient systems using AWS services and tools.
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Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q137-Q142):
NEW QUESTION # 137
A company has a mission-critical application on AWS that uses automatic scaling. The company wants the deployment lifecycle to meet the following parameters:
* The application must be deployed one instance at a time to ensure the remaining fleet continues to serve traffic.
* The application is CPU intensive and must be closely monitored.
* The deployment must automatically roll back if the CPU utilization of the deployment instance exceeds 85%.
Which solution will meet these requirements?
- A. Use AWS CloudFormation to create an AWS Step Functions state machine and Auto Scaling lifecycle hooks to move to one instance at a time into a wait state. Use AWS Systems Manager automation to deploy the update to each instance and move it back into the Auto Scaling group using the heartbeat timeout.
- B. Use AWS Systems Manager to perform a blue/green deployment with Amazon EC2 Auto Scaling.
Configure an alarm tied to the CPU utilization metric. Deploy updates one at a time. Configure automatic rollbacks within the Auto Scaling group to roll back the deployment if the alarm thresholds are breached. - C. Use AWS Elastic Beanstalk for load balancing and AWS Auto Scaling. Configure an alarm tied to the CPU utilization metric. Configure rolling deployments with a fixed batch size of one instance. Enable enhanced health to monitor the status of the deployment and roll back based on the alarm previously created.
- D. Use AWS CodeDeploy with Amazon EC2 Auto Scaling. Configure an alarm tied to the CPU utilization metric. Use the CodeDeployDefault.OneAtAtime configuration as a deployment strategy. Configure automatic rollbacks within the deployment group to roll back the deployment if the alarm thresholds are breached.
Answer: D
Explanation:
Explanation/Reference: https://aws.amazon.com/about-aws/whats-new/2016/09/aws-codedeploy-introduces-deployment- monitoring-with-amazon-cloudwatch-alarms-and-automatic-deployment-rollback/
NEW QUESTION # 138
When deploying to a Docker swarm, which section of the docker-compose file defines configuration related to the deployment and running of services?
- A. services
- B. build
- C. deploy
- D. args
Answer: C
Explanation:
Version 3 only.
Specify configuration related to the deployment and running of services. This only takes effect when deploying to a swarm withdocker stack deploy, and is ignored by docker-compose up and docker-compose run.
Reference: https://docs.docker.com/compose/compose-file/#deploy
NEW QUESTION # 139
You have implemented a system to automate deployments of your configuration and application dynamically after an Amazon EC2 instance in an Auto Scaling group is launched. Your system uses a configuration management tool that works in a standalone configuration, where there is no master node. Due to the volatility of application load, new instances must be brought into service within three minutes of the launch of the instance operating system. The deployment stages take the following times to complete:
1) Installing configuration management agent: 2mins
2) Configuring instance using artifacts: 4mins
3) Installing application framework: 15mins
4) Deploying application code: 1min
What process should you use to automate the deployment using this type of standalone agent configuration?
- A. Builda custom Amazon Machine Image that includes the configuration management agentand application framework pre-installed.
Configure your Auto Scaling launchconfiguration with an Amazon EC2 UserData script to pull configurationartifacts and application code from an Amazon S3 bucket, and then execute theagent to configure the system. - B. Builda custom Amazon Machine Image that includes all components pre-installed,including an agent, configuration artifacts, application frameworks, and code.Create a startup script that executes the agent to configure the system onstartup. *t
- C. Configureyour Auto Scaling launch configuration with an Amazon EC2 UserData script toinstall the agent, pull configuration artifacts and application code from anAmazon S3 bucket, and then execute the agent to configure the infrastructureand application.
- D. Createa web service that polls the Amazon EC2 API to check for new instances that arelaunched in an Auto Scaling group. When it recognizes a new instance, execute aremote script via SSH to install the agent, SCP the configuration artifacts andapplication code, and finally execute the agent to configure the system
Answer: B
Explanation:
Explanation
Since the new instances need to be brought up in 3 minutes, hence the best option is to pre-bake all the components into an AMI. If you try to user the User Data option, it will just take time, based on the time mentioned in the question to install and configure the various components.
For more information on AMI design please see the below link:
* https://aws.amazon.com/answers/configuration-management/aws-ami-design/
NEW QUESTION # 140
You are creating an application which stores extremely sensitive financial information. All information in the
system must be encrypted at rest and in transit. Which of these is a violation of this policy?
- A. ELB SSL termination.
- B. Telling S3 to use AES256 on the server-side.
- C. ELB Using Proxy Protocol v1.
- D. CloudFront Viewer Protocol Policy set to HTTPS redirection.
Answer: A
Explanation:
Explanation
If you use SSL termination, your servers will always get non-secure connections and will never know whether
users used a more secure channel or not. If you are using Elastic beanstalk to configure the ELB, you can use
the below article to ensure end to end encryption.
* http://docs.aws.amazon.com/elasticbeanstalk/latest/dg/configuring-https-endtoend.html
NEW QUESTION # 141
A DevOps Engineer must improve the monitoring of a Finance team payments microservice that handles transactions for an e-commerce platform. The microservice runs on multiple Amazon EC2 instances. The Finance team would like to know the number of payments per minute, and the team would like to be notified when this metric falls below a specified threshold.
How can this be cost-effectively automated?
- A. Have the Development team log successful transactions to an application log. On each instance, set up the Amazon CloudWatch Logs agent to send application logs to CloudWatch Logs. Use an EC2 instance to monitor a metric filter, and send notifications to the Finance team.
- B. Have the Development team log successful transactions to an application log. Set up the Amazon CloudWatch agent on each instance. Create a CloudWatch alarm when the threshold is breached, and use Amazon SNS to notify the Finance team.
- C. Have the Development team post the number of successful transactions to Amazon CloudWatch as a custom metric. Create a CloudWatch alarm when the threshold is breached, and use Amazon SNS to notify the Finance team.
- D. Have the Development team log successful transactions to an application log. Set up Logstash on each instance, which sends logs to an Amazon ES cluster. Create a Kibana dashboard for the Finance team that graphs the metric.
Answer: C
Explanation:
https://aws.amazon.com/premiumsupport/knowledge-center/cloudwatch-custom-metrics/
NEW QUESTION # 142
......
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