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Die Amazon AWS-DevOps-Engineer-Professional Zertifizierungsprüfung ist der erste Schritt zum Berufserfolg fur IT-Fachleute. Durch die Amazon AWS-DevOps-Engineer-Professional Zertifizierungsprüfung haben Sie schon den ersten Fuß auf die Spitze Ihrer Karriere gesetzt. PrüfungFrage wird Ihnen helfen, die Amazon AWS-DevOps-Engineer-Professional Zertifizierungsprüfung zu bestehen.

Amazon AWS-DevOps-Engineer-Professional Prüfungsplan:

Thema	Einzelheiten
Thema 1	Apply Concepts Required To Automate Monitoring And Event Management Of An Environment
Thema 2	Determine How To Set Up The Aggregation, Storage, And Analysis Of Logs And Metrics
Thema 3	Determine Deployment Delivery Strategies Implement Them Using AWS Services
Thema 4	Apply Concepts Required To Enforce Standards For Logging, Metrics, Monitoring, Testing, And Security
Thema 5	Apply Concepts Required To Set Up Event-Driven Automated Actions Determine Appropriate Use Of Multi-AZ Versus Multi-Region Architectures
Thema 6	Determine Deployment Services Based On Deployment Needs Determine How To Implement Lifecycle Hooks On A Deployment
Thema 7	Determine How To Implement High Availability, Scalability, And Fault Tolerance Determine How To Automate Event Management And Alerting
Thema 8	Design, Manage, and Maintain Tools to Automate Operational Processes
Thema 9	Apply Concepts Required To Implement Governance Strategies Troubleshoot Issues And Determine How To Restore Operations
Thema 10	Configuration Management And Infrastructure As Code Apply Concepts Required To Automate And Integrate Testing
Thema 11	Implement and Automate Security Controls, Governance Processes, and Compliance Validation
Thema 12	Determine Source Control Strategies And How To Implement Them Monitoring And Logging
Thema 13	Apply Concepts Required To Automate A CI CD Pipeline Policies And Standards Automation

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Amazon AWS Certified DevOps Engineer - Professional (DOP-C01) AWS-DevOps-Engineer-Professional Prüfungsfragen mit Lösungen (Q186-Q191):

186. Frage
You are in charge of designing a number of Cloudformation templates for your organization. You are required to make changes to stack resources every now and then based on the requirement. How can you check the impact of the change to resources in a cloudformation stack before deploying changes to the stack?

• A. UseCloudformation change sets to check for the impact to the changes.
• B. Thereis no way to control this. You need to check for the impact beforehand.
• C. UseCloudformation Stack Policies to check for the impact to the changes.
• D. UseCloudformation Rolling Updates to check for the impact to the changes.

Antwort: A Begründung:
Explanation
The AWS Documentation mentions
When you need to update a stack, understanding how your changes will affect running resources before you implement them can help you update stacks with confidence. Change sets allow you to preview how proposed changes to a stack might impact your running resources, for example, whether your changes will delete or replace any critical resources, AWS CloudFormation makes the changes to your stack only when you decide to execute the change set, allowing you to decide whether to proceed with your proposed changes or explore other changes by creating another change set. You can create and manage change sets using the AWS CloudFormation console, AWS CLI, or AWS CloudFormation API.
For more information on Cloudformation change sets, please visit the below url
http://docs.aws.amazon.com/AWSCIoudFormation/latest/UserGuide/using-cfn-updating-stacks-changesets.html
187. Frage
A Development team is currently using AWS CodeDeploy to deploy an application revision to an Auto Scaling group. If the deployment process fails, it must be rolled back automatically and a notification must be sent.
What is the MOST effective configuration that can satisfy all of the requirements?

• A. Create Amazon CloudWatch Events rules for CodeDeploy operations. Configure a CloudWatch Events rule to send out an Amazon SNS message when the deployment fails. Configure CodeDeploy to automatically roll back when the deployment fails.
• B. Configure a CodeDeploy agent to create a trigger that will send notification to Amazon SNS topics when the deployment fails. Configure CodeDeploy to automatically roll back when the deployment fails.
• C. Use available Amazon CloudWatch metrics for CodeDeploy to create CloudWatch alarms. Configure CloudWatch alarms to send out an Amazon SNS message when the deployment fails. Use AWS CLI to redeploy a previously deployed revision.
• D. Use AWS CloudTrail to monitor API calls made by or on behalf of CodeDeploy in the AWS account.
  Send an Amazon SNS message when deployment fails. Use AWS CLI to redeploy a previously deployed revision.

Antwort: B
188. Frage
You have an application which consists of EC2 instances in an Auto Scaling group. Between a particular time frame every day, there is an increase in traffic to your website. Hence users are complaining of a poor response time on the application. You have configured your Auto Scaling group to deploy one new EC2 instance when CPU utilization is greater than 60% for 2 consecutive periods of 5 minutes. What is the least cost-effective way to resolve this problem?

• A. Decrease the threshold CPU utilization percentage at which to deploy a new instance
• B. Decrease the consecutive number of collection periods
• C. Increase the minimum number of instances in the Auto Scaling group
• D. Decrease the collection period to ten minutes

Antwort: C Begründung:
Explanation
If you increase the minimum number of instances, then they will be running even though the load is not high on the website. Hence you are incurring cost even though there is no need.
All of the remaining options are possible options which can be used to increase the number of instances on a high load.
For more information on On-demand scaling, please refer to the below link:
* http://docs.aws.amazon.com/autoscaling/latest/userguide/as-scale-based-on-demand.html
Note: The tricky part where the question is asking for 'least cost effective way". You got the design consideration correctly but need to be careful on how the question is phrased.
189. Frage
What are the benefits when you implement a Blue Green deployment for your infrastructure or application level changes. Choose 3 answers from the options given below

• A. Betterrollback capabilities
• B. Abilityto deploy with higher risk
• C. Goodturnaround time for application deployments
• D. Nearzero-downtime release for new changes

Antwort: A,C,D Begründung:
Explanation
The AWS Documentation mentions the following
Blue/green deployments provide near zero-downtime release and rollback capabilities. The fundamental idea behind blue/green deployment is to shift traffic between two identical environments that are running different versions of your application. The blue environment represents the current application version serving production traffic. In parallel, the green environment is staged running a different version of your application.
After the green environment is ready and tested, production traffic is redirected from blue to green.
For more information on Blue Green deployments please see the below link:
* https://dOawsstatic.com/whitepapers/AWSBlueGreen_Deployments.pdf
190. Frage
You need to store a large volume of data. The data needs to be readily accessible for a short period, but then needs to be archived indefinitely after that. What is a cost-effective solution?

• A. Storeyour data in an EBS volume, and use lifecycle policies to archive to AmazonGlacier.
• B. Storeyour data in Amazon S3, and use lifecycle policies to archive to Amazon Glacier
• C. Storeyour data in Amazon S3, and use lifecycle policies to archive toS3-lnfrequently Access
• D. Storeall the data in S3 so that it can be more cost effective

Antwort: B Begründung:
Explanation
The AWS documentation mentions the following on Lifecycle policies
Lifecycle configuration enables you to specify the lifecycle management of objects in a bucket. The configuration is a set of one or more rules, where each rule defines an action for Amazon S3 to apply to a group of objects. These actions can be classified as follows:
Transition actions - In which you define when objects transition to another storage class. For example, you may choose to transition objects to the STANDARDJ A (IA, for infrequent access) storage class 30 days after creation, or archive objects to the GLACIER storage class one year after creation.
Expiration actions - In which you specify when the objects expire. Then Amazon S3 deletes the expired objects on your behalf. For more information on S3 Lifecycle policies, please visit the below URL
* http://docs.aws.amazon.com/AmazonS3/latest/dev/object-lifecycle-mgmt.html
191. Frage
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