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Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q247-Q252):

NEW QUESTION # 247
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 OldestLaunchConfiguration to phase out all instances that use the previous configuration. V
C. Attach an additional Auto Scaling configuration behind the ELB and phase in newer instances while
removing older instances.
D. Use Newest In stance to phase out all instances that use the previous configuration.

Answer: B,C

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 # 248
You want to securely distribute credentials for your Amazon RDS instance to your fleet of web server instances. The credentials are stored in a file that is controlled by a configuration management system.
How do you securely deploy the credentials in an automated manner across the fleet of web server instances, which can number in the hundreds, while retaining the ability to roll back if needed?

A. Insert credential files into user data and use an instance lifecycle policy to periodically refresh the file from the user data.
B. Store the credential files in your version-controlled repository with the rest of your code. Have a post- commit action in version control that kicks off a job in your continuous integration system which securely copses the new credential files to all web server instances.
C. Store your credential files in an Amazon S3 bucket. Use Amazon S3 server-side encryption on the credential files. Have a scheduled job that pulls down the credential files into the instances every 10 minutes.
D. Keep credential files as a binary blob in an Amazon RDS MySQL DB instance, and have a script on each Amazon EC2 instance that pulls the files down from the RDS instance.
E. Store the credential files in your version-controlled repository with the rest of your code. Use a parallel file copy program to send the credential files from your local machine to the Amazon EC2 instances.

Answer: C

NEW QUESTION # 249
You are in charge of designing a number of Cloudformation templates for your organization. You need to ensure that no one can accidentally update the production based resources on the stack during a stack update.
How can this be achieved in the most efficient way?

A. Createtags for the resources and then create 1AM policies to protect the resources.
B. UseMFA to protect the resources
C. UseS3 bucket policies to protect the resources.
D. Usea Stack based policy to protect the production based resources.

Answer: D

Explanation:
Explanation
The AWS Documentation mentions
When you create a stack, all update actions are allowed on all resources. By default, anyone with stack update permissions can update all of the resources in the stack. During an update, some resources might require an interruption or be completely replaced, resulting in new physical IDs or completely new storage. You can prevent stack resources from being unintentionally updated or deleted during a stack update by using a stack policy. A stack policy is a JSON document that defines the update action1.-; that car1 be performed on designated resources.
For more information on protecting stack resources, please visit the below url
http://docs.aws.amazon.com/AWSCIoudFormation/latest/UserGuide/protect-stack-resources.html

NEW QUESTION # 250
A company is implementing AWS CodePipeline to automate its testing process. The company wants to be notified when the execution state fails and used the following custom event pattern in Amazon CloudWatch:

Which type of events will match this event pattern?

A. Failed deploy and build actions across all the pipelines.
B. Approval actions across all the pipelines.
C. All rejected or failed approval actions across all the pipelines.
D. All the events across all pipelines.

Answer: C

Explanation:
https://docs.aws.amazon.com/codepipeline/latest/userguide/detect-state-changes-cloudwatch- events.html

NEW QUESTION # 251
An n-tier application requires a table in an Amazon RDS MySQL DB instance to be dropped and repopulated at each deployment. This process can take several minutes and the web tier cannot come online until the process is complete. Currently, the web tier is configured in an Amazon EC2 Auto Scaling group, with instances being terminated and replaced at each deployment. The MySQL table is populated by running a SQL query through an AWS CodeBuild job.
What should be done to ensure that the web tier does not come online before the database is completely configured?

A. Use an EC2 Auto Scaling lifecycle hook to pause the configuration of the web tier until the table is populated.
B. Use AWS Step Functions to monitor and maintain the state of data population. Mark the database in service before continuing with the deployment.
C. Use Amazon Aurora as a drop-in replacement for RDS MySQL. Use snapshots to populate the table with the correct data.
D. Modify the launch configuration of the Auto Scaling group to pause user data execution for 600 seconds, allowing the table to be populated.

Answer: A

Explanation:
Explanation/Reference:

NEW QUESTION # 252
......

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