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Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q443-Q448):

NEW QUESTION # 443
You have been asked to de-risk deployments at your company. Specifically, the CEO is concerned about
outages that occur because of accidental inconsistencies between Staging and Production, which sometimes
cause unexpected behaviors in Production even when Staging tests pass. You already use Docker to get high
consistency between Staging and Production for the application environment on your EC2 instances. How do
you further de-risk the rest of the execution environment, since in AWS, there are many service components
you may use beyond EC2 virtual machines?

A. Develop models of your entire cloud system in CloudFormation. Use this model in Staging and
Production to achieve greater parity. */
B. Use AWS ECS and Docker clustering. This will make sure that the AMIs and machine sizes are the
same across both environments.
C. Use AWS Config to force the Staging and Production stacks to have configuration parity. Any
differences will be detected for you so you are aware of risks.
D. Use AMIs to ensure the whole machine, including the kernel of the virual machines, is consistent, since
Docker uses Linux Container (LXC) technology, and we need to make sure the container environment is
consistent.

Answer: A

Explanation:
Explanation
After you have your stacks and resources set up, you can reuse your templates to replicate your infrastructure
in multiple environments. For example, you can create
environments for development, testing, and production so that you can test changes before implementing them
into production. To make templates reusable, use
the parameters, mappings, and conditions sections so that you can customize your stacks when you create
them. For example, for your development environments,
you can specify a lower-cost instance type compared to your production environment, but all other
configurations and settings remain the same
For more information on Cloudformation best practices please refer to the below link:
* http://docs.aws.amazon.com/AWSCIoudFormation/latest/UserGuide/best-practices.
html

NEW QUESTION # 444
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 CloudFormation.
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. 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.
B. Update the launch configuration specified in the AWS CloudFormation template with the new C3 instance type.
Also add an UpdatePolicy attribute to your Auto Scaling group that specifies AutoScalingRollingUpdate.
Run a stack update with the new template.
C. 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.
D. 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 Scaling group with the new launch configuration.
Auto Scaling will then update the instance type of all running instances.

Answer: B

NEW QUESTION # 445
A company wants to automatically re-create its infrastructure using AWS CloudFormation as part of the company's quality assurance (QA) pipeline. For each QA run, a new VPC must be created in a single account, resources must be deployed into the VPC, and tests must be run against this new infrastructure. The company policy states that all VPCs must be peered with a central management VPC to allow centralized logging. The company has existing CloudFormation templates to deploy its VPC and associated resources.
Which combination of steps will achieve the goal in a way that is automated and repeatable? (Choose two.)

A. In the CloudFormation template:
* Use the Fn::Cidr function to allocate an unused CIDR range for the VPC and subnets.
* Create a peering connection to the management VPC.
* Update route tables to allow traffic to the management VPC.
B. Create an AWS Lambda function that is invoked by an Amazon CloudWatch Events rule when a CreateVpcPeeringConnection API call is made. The Lambda function should check the source of the peering request, accepts the request, and update the route tables for the management VPC to allow traffic to go over the peering connection.
C. In the CloudFormation template:
* Invoke a custom resource to generate unique VPC CIDR ranges for the VPC and subnets.
* Create a peering connection to the management VPC.
* Update route tables to allow traffic to the management VPC.
D. Modify the CloudFormation template to include a mappings object that includes a list of /16 CIDR ranges for each account where the stack will be deployed.
E. Use CloudFormation StackSets to deploy the VPC and associated resources to multiple AWS accounts using a custom resource to allocate unique CIDR ranges. Create peering connections from each VPC to the central management VPC and accept those connections in the management VPC.

Answer: C,D

NEW QUESTION # 446
Your team wants to begin practicing continuous delivery using CloudFormation, to enable automated builds and deploys of whole, versioned stacks or stack layers. You have a 3-tier, mission-critical system. Which of the following is NOT a best practice for using CloudFormation in a continuous delivery environment?

A. Model your stack in one template, so you can leverage CloudFormation's state management and dependency resolution to propagate all changes.
B. Use CloudFormation to create brand new infrastructure for all stateless resources on each push, and run integration tests on that set of infrastructure.
C. Use the AWS CloudFormation <code>ValidateTemplate</code> call before publishing changes to AWS.
D. Parametrize the template and use <code>Mappings</code> to ensure your template works in multiple Regions.

Answer: A

Explanation:
Putting all resources in one stack is a bad idea, since different tiers have different life cycles and frequencies of change. For additional guidance about organizing your stacks, you can use two common frameworks: a multi- layered architecture and service-oriented architecture (SOA).
Reference: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/ bestpractices.html#organizingstacks

NEW QUESTION # 447
You are using Elastic Beanstalk to manage your e-commerce store. The store is based on an open source e- commerce platform and is deployed across multiple instances in an Auto Scaling group. Your development team often creates new "extensions" for the e-commerce store. These extensions include PHP source code as well as an SQL upgrade script used to make any necessary updates to the database schema. You have noticed that some extension deployments fail due to an error when running the SQL upgrade script. After further investigation, you realize that this is because the SQL script is being executed on all of your Amazon EC2 instances. How would you ensure that the SQL script is only executed once per deployment regardless of how many Amazon EC2 instances are running at the time?

A. Use a "Solo Command" within an Elastic Beanstalk configuration file to execute the script. The Elastic Beanstalk service will ensure that the command is only executed once.
B. Use a "Container command" within an Elastic Beanstalk configuration file to execute the script, ensuring that the "leader only" flag is set to true.
C. Make use of the Amazon EC2 metadata service to query whether the instance is marked as the leader" in the Auto Scaling group. Only execute the script if "true" is returned.
D. Update the Amazon RDS security group to only allow write access from a single instance in the Auto Scaling group; that way, only one instance will successfully execute the script on the database.

Answer: B

Explanation:
Explanation
You can use the container_commands key to execute commands that affect your application source code.
Container commands run after the application and web server have been set up and the application version archive has been extracted, but before the application version is deployed. Non-container commands and other customization operations are performed prior to the application source code being extracted.
You can use leader_only to only run the command on a single instance, or configure a test to only run the command when a test command evaluates to true. Leader-only container commands are only executed during environment creation and deployments, while other commands and server customization operations are performed every time an instance is provisioned or updated. Leader-only container commands are not executed due to launch configuration changes, such as a change in the AMI Id or instance type. For more information on customizing containers, please visit the below URL:
* http://docs.aws.amazon.com/elasticbeanstalk/latest/dg/customize-containers-ec2.html

NEW QUESTION # 448
......

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