AWS-DevOps Prüfungsvorbereitung & AWS-DevOps Lernhilfe

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Amazon DOP -C01 (AWS Certified DevOps Engineer - Professional) -Zertifizierungsprüfung ist eine weithin anerkannte Zertifizierung, die die Fähigkeiten eines Kandidaten über die Entwerfen, Bereitstellung und Betriebsanwendungen und -infrastrukturen auf der AWS -Plattform bestätigt. Diese Zertifizierung ist ideal für Fachleute, die im Bereich DevOps arbeiten und für die Automatisierung und Straffung des Software -Lieferprozesses verantwortlich sind.

Die Zertifizierung zum AWS Certified DevOps Engineer - Professional richtet sich an Fachleute, die Erfahrung in der Gestaltung, Verwaltung und Implementierung von DevOps-Engineering-Praktiken und -Lösungen haben. Die Prüfung umfasst eine Vielzahl von Themen wie Automatisierung, Überwachung, Metriken und Logging. Die Zertifizierung konzentriert sich darauf sicherzustellen, dass Einzelpersonen über die notwendigen Fähigkeiten verfügen, um AWS-Services zu verwalten und DevOps-Praktiken zu implementieren.

>> AWS-DevOps Prüfungsvorbereitung <<

AWS-DevOps PrüfungGuide, Amazon AWS-DevOps Zertifikat - AWS Certified DevOps Engineer - Professional

Aus der Perspektive der Prüfung ist es notwendig, Ihnen die Prüfungstechnik zu lehren. Sie sollen weise wählen und keine Chance verpassen. ZertPruefung ist eine großartige Website, die gute Schulungsressourcen bietet, die Prüfungs- und Untersuchungsmaterialien und ausführliche Fragen und Antworten enthalten. Die Prüfungswebsites nehmen in den letzten Jahren rasch zu. Das ist vielleicht der Grund, wieso Sie so verwirrt gegenüber der Amazon AWS-DevOps Zertifizierungsprüfung sind. Die Schulungsunterlagen zur Amazon AWS-DevOps Zertifizierungsprüfung von ZertPruefung werden von einigen Fachleuten und vielen Kandidaten bewiesen, dass sie effizient sind. Sie können Ihnen helfen, die Amazon AWS-DevOps Zertifizierungsprüfung zu bestehen.

Die AWS DOP-C01-Prüfung deckt eine Vielzahl von Themen ab, einschließlich kontinuierlicher Bereitstellung und Bereitstellung, Infrastruktur als Code, Überwachung und Protokollierung, Sicherheit und Einhaltung. Von den Kandidaten wird erwartet, dass sie ein tiefes Verständnis der AWS-Dienste haben und in der AWS-Plattform hoch verfügbare, skalierbare und fehlertolerante Systeme entwerfen, implementieren und verwalten können. Die Zertifizierungsprüfung besteht aus Multiple-Choice- und Multiple-Response-Fragen, und die Kandidaten dürfen 180 Minuten zu vervollständigen. Die AWS DOP-C01-Prüfung ist eine bedeutende Errungenschaft, die die Fähigkeit eines Kandidaten zeigt, DevOps-Lösungen auf der AWS-Plattform zu entwerfen und zu implementieren.

Amazon AWS Certified DevOps Engineer - Professional AWS-DevOps Prüfungsfragen mit Lösungen (Q306-Q311):

306. Frage
A company is implementing an Amazon ECS cluster to run its workload. The company architecture will run multiple ECS services on the cluster, with an Application Load Balancer on the front end, using multiple target groups to route traffic. The Application Development team has been struggling to collect logs that must be collected and sent to an Amazon S3 bucket for near-real time analysis What must the DevOps Engineer configure in the deployment to meet these requirements? (Select THREE)

A. Install the Amazon CloudWatch Logs logging agent on the ECS instances. Change the logging driver in the ECS task definition to 'awslogs'.
B. Enable access logging on the target groups that are used by the ECS services, then point it directly to the S3 logging bucket.
C. Download the Amazon CloudWatch Logs container instance from AWS and configure it as a task. Update the application service definitions to include the logging task.
D. Enable access logging on the Application Load Balancer, then point it directly to the S3 logging bucket.
E. Create an Amazon Kinesis Data Firehose with a destination of the S3 logging bucket, then create an Amazon CloudWatch Logs subscription filter for Kinesis.
F. Use Amazon CloudWatch Events to schedule an AWS Lambda function that will run every 60 seconds running the create-export -task CloudWatch Logs command, then point the output to the logging S3 bucket.

Antwort: A,B,F

307. Frage
Your application is currently running on Amazon EC2 instances behind a load balancer. Your management has decided to use a Blue/Green deployment strategy. How should you implement this for each deployment?

A. Launch more Amazon EC2 instances to ensure high availability, de-register each Amazon EC2 instance from the load balancer, upgrade it, and test it, and then register it again with the load balancer.
B. Using AWS CloudFormation, create a test stack for validating the code, and then deploy the code to each production Amazon EC2 instance.
C. Create a new load balancer with new Amazon EC2 instances, carry out the deployment, and then switch DNS over to the new load balancer using Amazon Route 53 after testing.
D. Set up Amazon Route 53 health checks to fail over from any Amazon EC2 instance that is currently being deployed to.

Antwort: C

Begründung:
Explanation
The below diagram shows how this can be done

1) First create a new ELB which will be used to point to the new production changes.
2) Use the Weighted Route policy for Route53 to distribute the traffic to the 2 ELB's based on a 80-20% traffic scenario. This is the normal case, the % can be changed based on the requirement.
3) Finally when all changes have been tested, Route53 can be set to 100% for the new ELB.
Option A is incorrect because this is a failover scenario and cannot be used for Blue green deployments. In Blue Green deployments, you need to have 2 environments running side by side.
Option B is incorrect, because you need to a have a production stack with the changes which will run side by side.
Option D is incorrect because this is not a blue green deployment scenario. You cannot control which users will go the new EC2 instances.
For more information on blue green deployments, please refer to the below document link: from AWS
* https://dOawsstatic.com/whitepapers/AWS_Blue_Green_Deployments.pdf

308. Frage
A DevOps Engineer is reviewing a system that uses Amazon EC2 instances in an Auto Scaling group. This system uses a configuration management tool that runs locally on each EC2 instance. Because of the volatility of the application load, new instances must be fully functional within 3 minutes of entering a running state. Current setup tasks include:
- Installing the configuration management agent - 2 minutes
- Installing the application framework - 15 minutes
- Copying configuration data from Amazon S3 - 2 minutes
- Running the configuration management agent to configure instances - 1 minute
- Deploying the application code from Amazon S3 - 2 minutes
How should the Engineer set up system so it meets the launch time requirement?

A. Build a custom AMI that includes the configuration management agent and application framework.
Write a bootstrap script to pull configuration data from Amazon S3, run the agent to configure the instance, and deploy the application from S3.
B. Build a custom AMI that includes the configuration management agent, application framework, and configuration data. Write a bootstrap script to run the agent to configure the instance and deploy the application from Amazon S3.
C. Write a bootstrap script to install the configuration management agent, install and the application framework, pull configuration data from Amazon S3, run the agent to configure the instance, and deploy the application from S3.
D. Trigger an AWS Lambda function from an Amazon CloudWatch Events rule when a new EC2 instance launches. Have the function install the configuration management agent and the application framework, pull configuration data from Amazon S3, run the agent to configure the instance, and deploy the application from S3.

Antwort: C

309. Frage
You need to run a very large batch data processingjob one time per day. The source data exists entirely in S3, and the output of the processingjob should also be written to S3 when finished. If you need to version control this processingjob and all setup and teardown logic for the system, what approach should you use?.

A. Model an AWS EMRjob in AWS OpsWorks.
B. Model an AWS EMRjob in AWS CLI Composer.
C. Model an AWSEMRjob in AWS CloudFormation.
D. Model an AWSEMRjob in AWS Elastic Beanstalk.

Antwort: C

Begründung:
Explanation
With AWS Cloud Formation, you can update the properties for resources in your existing stacks. These changes can range from simple configuration changes, such as updating the alarm threshold on a Cloud Watch alarm, to more complex changes, such as updating the Amazon Machine Image (AMI) running on an Amazon EC2 instance. Many of the AWS resources in a template can be updated, and we continue to add support for more.
For more information on Cloudformation version control, please visit the below URL:
* http://docs.aws.amazon.com/AWSCIoudFormation/latest/UserGuide/updating.stacks.waIkthrough.html

310. Frage
A DevOps Engineer is responsible for the deployment of a PHP application. The Engineer is working in a hybrid deployment, with the application running on both on-premises servers and Amazon EC2 instances. The application needs access to a database containing highly confidential information. Application instances need access to database credentials, which must be encrypted at rest and in transit before reaching the instances.
How should the Engineer automate the deployment process while also meeting the security requirements?

A. Use AWS Elastic Beanstalk with a PHP platform configuration to deploy application packages to the instances. Store database credentials on AWS Systems Manager Parameter Store using the Secure String data type. Define an IAM role for Amazon EC2 allowing access, and decrypt only the database credentials. Associate this role to all the instances.
B. Use AWS CodeDeploy to deploy application packages to the instances. Store database credentials on AWS Systems Manager Parameter Store using the Secure String data type. Define an IAM role with an attached policy that allows decryption of the database credentials. Associate this role to all the instances and on-premises servers.
C. Use AWS CodeDeploy to deploy application packages to the instances. Store database credentials on AWS Systems Manager Parameter Store using the Secure String data type. Define an IAM policy for allowing access, and decrypt only the database credentials. Attach the IAM policy to the role associated to the instance profile for CodeDeploy-managed instances, and to the role used for on-premises instances registration on CodeDeploy.
D. Use AWS CodeDeploy to deploy application packages to the instances. Store database credentials in the AppSpec file. Define an IAM policy for allowing access to only the database credentials. Attach the IAM policy to the role associated to the instance profile for CodeDeploy-managed instances and the role used for on-premises instances registration on CodeDeploy.

Antwort: C

311. Frage
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AWS-DevOps Lernhilfe: https://www.zertpruefung.ch/AWS-DevOps_exam.html