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NEW QUESTION 41
You were just hired as a DevOps Engineer for a startup. Your startup uses AWS for 100% of their infrastructure. They currently have no automation at all for deployment, and they have had many failures while trying to deploy to production. The company has told you deployment process risk mitigation is the most important thing now, and you have a lot of budget for tools and AWS resources.
Data stored in DynamoDB or S3, depending on type
Compute layer is EC2 in Auto Scaling Groups
They use Route53 for DNS pointing to an ELB
An ELB balances load across the EC2 instances
The scaling group properly varies between 4 and 12 EC2 servers. Which of the following approaches, given this company's stack and their priorities, best meets the company's needs?
- A. Model the stack in 3 CloudFormation templates: Data layer, compute layer, and networking layer.
Write stack deployment and integration testing automation following Blue-Green methodologies.
- B. Model the stack in AWS Elastic Beanstalk as a single Application with multiple Environments. Use Elastic Beanstalk's Rolling Deploy option to progressively roll out application code changes when promoting across environments.
- C. Model the stack in 1 CloudFormation template, to ensure consistency and dependency graph resolution. Write deployment and integration testing automation following Rolling Deployment methodologies.
- D. Model the stack in AWS OpsWorks as a single Stack, with 1 compute layer and its associated ELB.
Use Chef and App Deployments to automate Rolling Deployment.
AWS recommends Blue-Green for zero-downtime deploys. Since you use DynamoDB, and neither AWS OpsWorks nor AWS Elastic Beanstalk directly supports DynamoDB, the option selecting CloudFormation and Blue-Green is correct.
You use various strategies to migrate the traffic from your current application stack (blue) to a new version of the application (green). This is a popular technique for deploying applications with zero downtime. The deployment services like AWS Elastic Beanstalk, AWS CloudFormation, or AWS OpsWorks are particularly useful as they provide a simple way to clone your running application stack. You can set up a new version of your application (green) by simply cloning current version of the application (blue). https://d0.awsstatic.com/whitepapers/overview-of- deployment-options-on-aws.pdf
NEW QUESTION 42
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 Auto Scaling configuration behind the ELB and phase in newer instances while removing older instances.
- B. Attach an additional ELB to your Auto Scaling configuration and phase in newer instances while removing older instances.
- C. Use Newest In stance to phase out all instances that use the previous configuration.
- D. Use OldestLaunchConfiguration to phase out all instances that use the previous configuration. V
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
NEW QUESTION 43
You are administering a continuous integration application that polls version control for changes and then launches new Amazon EC2 instances for a full suite of build tests. What should you do to ensure the lowest overall cost while being able to run as many tests in parallel as possible?
- A. Perform syntax checking on the continuous integration system before launching a new Amazon EC2 instance for build test, unit and integration tests.
- B. Perform all tests on the continuous integration system, using AWS OpsWorks for unit, integration, and build tests.
- C. Perform syntax and build tests on the continuous integration system before launching the new Amazon EC2 instance unit and integration tests.
- D. Perform syntax checking on the continuous integration system before launching a new AWS Data Pipeline for coordinating the output of unit, integration, and build tests.
Continuous Integration (CI) is a development practice that requires developers to integrate code into a shared repository several times a day. Each check-in is then verified by an automated build, allowing teams to detect problems early.
Option A and D are invalid because you can do build tests on a CI system and not only Syntax tests. And Syntax tests are normally done during coding time and not during the build time.
Option C is invalid because Opswork is ideally not used for build and integration tests.
For an example of a Continuous integration system, please refer to the Jenkins system via the url below
NEW QUESTION 44