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NEW QUESTION 48
Your IT company is currently hosting a production environment in Elastic beanstalk. You understand that the Elastic beanstalk service provides a facility known as Managed updates which are minor and patch version updates which are periodically required for your system. Your IT supervisor is worried about the impact that these updates would have on the system. What can you tell about the Elastic beanstalk service with regards to managed updates

A. Elastic Beanstalk applies managed updates with no downtimeB. Elastic Beanstalk applies managed updates with no reduction in capacityC. Package updates can be configurable weekly maintenance windowD. All of the above

Answer: D

Explanation:
Explanation
The AWS Documentation mentions the following on package updates for the Clastic beanstalk environment You can configure your environment to apply minor and patch version updates automatically during a configurable weekly maintenance window with Managed Platform Updates. Elastic Beanstalk applies managed updates with no downtime or reduction in capacity, and cancels the update immediately if instances running your application on the new version fail health checks.
For more information on Elastic beanstalk managed updates please refer to the URL:
* https://docs.aws.amazon.com/elasticbeanstalk/latest/dg/environment-platform-update-managed,html
* http://docs.aws.amazon.com/elasticbeanstalk/latest/dg/using-features.platform.upgrade.html

 

NEW QUESTION 49
You need to run a very large batch data processingjob one time per day. The source data exists entirely in S3, and the output of the processingjob should also be written to S3 when finished. If you need to version control this processingjob and all setup and teardown logic for the system, what approach should you use?.

A. Model an AWSEMRjob in AWS Elastic Beanstalk.B. Model an AWSEMRjob in AWS CloudFormation.C. Model an AWS EMRjob in AWS OpsWorks.D. Model an AWS EMRjob in AWS CLI Composer.

Answer: B

Explanation:
Explanation
With AWS Cloud Formation, you can update the properties for resources in your existing stacks. These changes can range from simple configuration changes, such as updating the alarm threshold on a Cloud Watch alarm, to more complex changes, such as updating the Amazon Machine Image (AMI) running on an Amazon EC2 instance. Many of the AWS resources in a template can be updated, and we continue to add support for more.
For more information on Cloudformation version control, please visit the below URL:
* http://docs.aws.amazon.com/AWSCIoudFormation/latest/UserGuide/updating.stacks.waIkthrough.html

 

NEW QUESTION 50
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 51
Which deployment method, when using AWS Auto Scaling Groups and Auto Scaling Launch Configurations, enables the shortest time to live for individual servers?

A. Using UserData bootstrapping scripts.B. Pre-baking AMIs with all code and configuration on deploys.C. Using AWS EC2 Run Commands to dynamically SSH into fleets.D. Using a Dockerfile bootstrap on instance launch.

Answer: B

Explanation:
Note that the bootstrapping process can be slower if you have a complex application or multiple applications to install. Managing a fleet of applications with several build tools and dependencies can be a challenging task during rollouts. Furthermore, your deployment service should be designed to do faster rollouts to take advantage of Auto Scaling. Prebaking is a process of embedding a significant portion of your application artifacts within your base AMI. During the deployment process you can customize application installations by using EC2 instance artifacts such as instance tags, instance metadata, and Auto Scaling groups.
https://d0.awsstatic.com/whitepapers/overview-of-deployment-options-on-aws.pdf

 

NEW QUESTION 52
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.
Their stack includes a 2-tier API with data stored in DynamoDB or S3, depending on type. The 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 1 CloudFormation template, to ensure consistency and dependency graph resolution.
Write deployment and integration testingautomation following Rolling Deployment 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.
B- Model the stack in three CloudFormation templates: Data layer, compute layer, and networking layer.
Write stack deployment and integration testing automation following Blue-Green methodologies. *>/C. 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.

Answer: C

Explanation:
Explanation
Here you are using 2 of the best practices for deployment, one is Blue Green Deployments and the other is using Nested Cloudformation stacks.
The AWS Documentation mentions the below on nested stacks
As your infrastructure grows, common patterns can emerge in which you declare the same components in each of your templates. You can separate out these common components and create dedicated templates for them. That way, you can mix and match different templates but use nested stacks to create a single, unified stack. Nested stacks are stacks that create other stacks. To create nested stacks, use the AWS::CloudFormation::Stackresource in your template to reference other templates.
For more information on Cloudformation best practises, please visit the link:
* http://docs.aws.amazon.com/AWSCIoudFormation/latest/UserGuide/best-practices.
html For more information on Blue Green Deployment, please visit the link:
* https://dOawsstatic.com/whitepapers/AWS_Blue_Green_Deployments.pdf

 

NEW QUESTION 53
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