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NEW QUESTION 44
You currently have an Auto Scaling group with an Elastic Load Balancer and need to phase out all instances and replace with a new instance type. What are 2 ways in which this can be achieved.

A. Attach an additional ELB to your Auto Scaling configuration and phase in newer instances while removing older instances.B. Use Newest In stance to phase out all instances that use the previous configuration.C. Attach an additional Auto Scaling configuration behind the ELB and phase in newer instances while removing older instances.D. Use OldestLaunchConfiguration to phase out all instances that use the previous configuration. V

Answer: C,D

Explanation:
Explanation
When using the OldestLaunchConfiguration policy Auto Scaling terminates instances that have the oldest launch configuration. This policy is useful when you're updating a group and phasing out the instances from a previous configuration.
For more information on Autoscaling instance termination, please visit the below URL:
* http://docs.aws.amazon.com/autoscaling/latest/userguide/as-instance-termi nation.html Option D is an example of Blue Green Deployments.

A blue group carries the production load while a green group is staged and deployed with the new code. When if s time to deploy, you simply attach the green group to the existing load balancer to introduce traffic to the new environment. For HTTP/HTTP'S listeners, the load balancer favors the green Auto Scaling group because it uses a least outstanding requests routing algorithm As you scale up the green Auto Scaling group, you can take blue Auto Scaling group instances out of service by either terminating them or putting them in Standby state.
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

 

NEW QUESTION 45
You are building a Ruby on Rails application for internal, non-production use which uses MySQL as a database. You want developers without very much AWS experience to be able to deploy new code with a single command line push. You also want to set this up as simply as possible.
Which tool is ideal for this setup?

A. AWS CloudFormationB. AWS Elastic BeanstalkC. AWS OpsWorksD. AWS ELB + EC2 with CLI Push

Answer: B

Explanation:
Elastic Beanstalk's primary mode of operation exactly supports this use case out of the box. It is simpler than all the other options for this question.
With Elastic Beanstalk, you can quickly deploy and manage applications in the AWS cloud without worrying about the infrastructure that runs those applications. AWS Elastic Beanstalk reduces management complexity without restricting choice or control. You simply upload your application, and Elastic Beanstalk automatically handles the details of capacity provisioning, load balancing, scaling, and application health monitoring.
http://docs.aws.amazon.com/elasticbeanstalk/latest/dg/create_deploy_Ruby_rails.html

 

NEW QUESTION 46
A company is setting a centralized logging solution on AWS and has several requirements. The company wants its Amazon CloudWatch Logs and VPC Flow logs to come from different sub accounts and to be delivered to a single auditing account. However, the number of sub accounts keeps changing. The company also needs to index the logs in the auditing account to gather actionable insight. How should a DevOps Engineer implement the solution to meet all of the company's requirements?

A. Use Amazon Kinesis Streams to write logs to Amazon ES in the auditing account. Create a CloudWatch subscription filter and use Kinesis Data Streams in the sub accounts to stream the logs to the Kinesis stream in the auditing account.B. Use AWS Lambda to write logs to Amazon ES in the auditing account. Create a CloudWatch subscription filter and use Lambda in the sub accounts to stream the logs to the Lambda function deployed in the auditing account.C. Use Amazon Kinesis Firehose with Kinesis Data Streams to write logs to Amazon ES in the auditing account. Create a CloudWatch subscription filter and stream logs from sub accounts to the Kinesis stream in the auditing account.D. Use AWS Lambda to write logs to Amazon ES in the auditing account Create an Amazon CloudWatch subscription filter and use Amazon Kinesis Data Streams in the sub accounts to stream the logs to the Lambda function deployment in the auditing account.

Answer: C

 

NEW QUESTION 47
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 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.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 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

Answer: D

 

NEW QUESTION 48
You have an application running in us-west-2 that requires 6 EC2 instances running at all times. With 3 AZ
available in that region, which of the following deployments provides 100% fault tolerance if any single AZ in
us-west-2 becomes unavailable. Choose 2 answers from the options below

A. us-west-2awith 3 instances, us-west-2b with 3 instances, us-west-2c with 3 instancesB. us-west-2awith 2 instances, us-west-2b with 2 instances, us-west-2c with 2 instancesC. us-west-2awith 3 instances, us-west-2b with 3 instances, us-west-2c with 0 instancesD. us-west-2awith 4 instances, us-west-2b with 2 instances, us-west-2c with 2 instancesE. us-west-2awith 6 instances, us-west-2b with 6 instances, us-west-2c with 0 instances

Answer: A,E

Explanation:
Explanation
Since we need 6 instances running at all times, only D and C fulfil this option.
The AWS documentation mentions the following on Availability zones
When you launch an instance, you can select an Availability Zone or let us choose one for you. If you
distribute your instances across multiple Availability Zones and
one instance fails, you can design your application so that an instance in another Availability Zone can handle
requests.
For more information on Regions and AZ's please visit the URL:
* http://docs.aws.amazon.com/AWSCC2/latest/UserGuide/using-regions-avai
lability-zones.htm I

 

NEW QUESTION 49
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