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Amazon AWS Certified DevOps Engineer - Professional 認定 AWS-DevOps-Engineer-Professional 試験問題 (Q507-Q512):

質問 # 507
An online company uses Amazon EC2 Auto Scaling extensively to provide an excellent customer experience while minimizing the number of running EC2 instances. The company's self-hosted Puppet environment in the application layer manages the configuration of the instances. The IT manager wants the lowest licensing costs and wants to ensure that whenever the EC2 Auto Scaling group scales down, removed EC2 instances are deregistered from the Puppet master as soon as possible.
How can the requirement be met?

A. At instance launch time, use EC2 user data to deploy the AWS CodeDeploy agent. Use CodeDeploy to install the Puppet agent. When the Auto Scaling group scales out, run a script to register the newly deployed instances to the Puppet master. When the Auto Scaling group scales in, use the EC2 Auto Scaling EC2_INSTANCE_TERMINATING lifecycle hook to trigger de- registration from the Puppet master.
B. Bake the AWS Systems Manager agent into the base AMI. When the Auto Scaling group scales out, use the AWS Systems Manager to install the Puppet agent, and run a script to register the newly deployed instances to the Puppet master. When the Auto Scaling group scales in, use the Systems Manager instance stop lifecycle hook to run a script to de-register the instance from the Puppet master.
C. Bake the AWS CodeDeploy agent into the base AMI. When the Auto Scaling group scales out, use CodeDeploy to install the Puppet agent, and execute a script to register the newly deployed instances to the Puppet master. When the Auto Scaling group scales in, use the CodeDeploy lifecycle hook to run a script to de-register the instance from the Puppet master.
ApplicationStop
D. At instance launch time, use EC2 user data to deploy the AWS CodeDeploy agent. When the Auto Scaling group scales out, use CodeDeploy to install the Puppet agent, and run a script to register the newly deployed instances to the Puppet master. When the Auto Scaling group scales in, use the EC2 user data instance stop script to run a script to de-register the instance from the Puppet master.

正解：A

解説：
codedeploy agent is a software package that, when installed and configured on an instance, makes it possible for that instance to be used in CodeDeploy deployments.

質問 # 508
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 the 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 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.

正解：C

質問 # 509
You work for a startup that has developed a new photo-sharing application for mobile devices. Over recent months your application has increased in popularity; this has resulted in a decrease in the performance of the application clue to the increased load. Your application has a two-tier architecture that is composed of an Auto Scaling PHP application tier and a MySQL RDS instance initially deployed with AWS Cloud Formation. Your Auto Scaling group has a min value of 4 and a max value of 8. The desired capacity is now at 8 because of the high CPU utilization of the instances. After some analysis, you are confident that the performance issues stem from a constraint in CPU capacity, although memory utilization remains low. You therefore decide to move from the general-purpose M3 instances to the compute-optimized C3 instances. How would you deploy this change while minimizing any interruption to your end users?

A. Sign into the AWS Management Console, and update the existing launch configuration with the new C3 instance type. Add an UpdatePolicy attribute to your Auto Scaling group that specifies AutoScalingRollingUpdate.
B. Sign into the AWS Management Console, copy the old launch configuration, and create a new launch configuration that specifies the C3 instances. Update the Auto Scalinggroup with the new launch configuration. Auto Scaling will then update the instance type of all running instances.
C. Update the launch configuration specified in the AWS CloudFormation template with the new C3 instance type. Also add an UpdatePolicy attribute to your Auto Scalinggroup that specifies AutoScalingRollingUpdate. Run a stack update with the new template.
D. Update the launch configuration specified in the AWS CloudFormation template with the new C3 instance type. Run a stack update with the new template. Auto Scaling will then update the instances with the new instance type.

正解：C

解説：
Explanation
The AWS::AutoScaling::AutoScalingGroup resource supports an UpdatePoIicy attribute. This is used to define how an Auto Scalinggroup resource is updated when an update to the Cloud Formation stack occurs. A common approach to updating an Auto Scaling group is to perform a rolling update, which is done by specifying the AutoScalingRollingUpdate policy. This retains the same Auto Scaling group and replaces old instances with new ones, according to the parameters specified. For more information on rolling updates, please visit the below link:
* https://aws.amazon.com/premiumsupport/knowledge-center/auto-scaling-group-rolling-updates/

質問 # 510
Your CTO thinks your AWS account was hacked. What is the only way to know for certain if there was unauthorized access and what they did, assuming your hackers are very sophisticated AWS engineers and doing everything they can to cover their tracks?

A. Use CloudTrail backed up to AWS S3 and Glacier.
B. Use CloudTrail Log File Integrity Validation.
C. Use AWS Config SNS Subscriptions and process events in real time.
D. Use AWS Config Timeline forensics.

正解：B

解説：
You must use CloudTrail Log File Validation (default or custom implementation), as any other tracking method is subject to forgery in the event of a full account compromise by sophisticated enough hackers. Validated log files are invaluable in security and forensic investigations.
For example, a validated log file enables you to assert positively that the log file itself has not changed, or that particular user credentials performed specific API activity. The CloudTrail log file integrity validation process also lets you know if a log file has been deleted or changed, or assert positively that no log files were delivered to your account during a given period of time.
http://docs.aws.amazon.com/awscloudtrail/latest/userguide/cloudtrail-log-file-validation-intro.html

質問 # 511
A web application has been deployed using an AWS Elastic Beanstalk application The Application Developers are concerned that they are seeing high latency in two different areas of the application: HTTP client requests to a third-party API MySQL client library queries to an Amazon RDS database A DevOps Engineer must gather trace data to diagnose the issues. Which steps will gather the trace information with the LEAST amount of changes and performance impacts to the application?

A. Instrument the application to use the AWS X-Ray SDK. Post trace data to an Amazon Elasticsearch Service cluster. Query the trace data for calls to the HTTP client and the MySQL client.
B. Instrument the application using the AWS X-Ray SDK. On the AWS Elastic Beanstalk management page for the application, enable the X-Ray daemon. View the trace data in the X-Ray console.
C. On the AWS Elastic Beanstalk management page for the application, enable the AWS X-Ray daemon.
View the trace data in the X-Ray console.
D. Add additional logging to the application code. Use the Amazon CloudWatch agent to stream the application logs into Amazon Elasticsearch Service. Query the log data in Amazon ES.

正解：C

質問 # 512
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