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NEW QUESTION 35
A company has established tagging and configuration standatrds for its infrastructure resources running on AWS. A DevOps Engineer is developing a design that will provide a near-real-time dashboard of the compliance posture with the ability to highlight violations.
Which approach meets the stated requirements?

A. Create a resource group that displays resources with the specified tags and those without tags.
Use the AWS Management Console to view compliant and non-compliant resources.B. Define the resource configurations in AWS Service Catalog, and monitor the AWS Service Catalog compliance and violations in Amazon CloudWatch. Then, set up and share a live CloudWatch dashboard. Set up Amazon SNS notifications for violations and corrections.C. Use AWS Config to record configuration changes and output the data to an Amazon S3 bucket.
Create an Amazon QuickSight analysis of the dataset, and use the information on dashboards and mobile devices.D. Define the compliance and tagging requirements in Amazon inspector. Output the results to Amazon CloudWatch Logs. Build a metric filter to isolate the monitored elements of interest and present the data in a CloudWatch dashboard.

Answer: C

Explanation:
https://aws.amazon.com/answers/configuration-management/aws-infrastructure-configuration- management/

 

NEW QUESTION 36
Ansible supports running Playbook on the host directly or via SSH. How can Ansible be told to run its playbooks directly on the host?

A. Setting 'connection: local' in the Playbook.B. Setting 'connection: local' in the tasks that run locally.C. It does not need to be specified; it is the default.D. Specifying '-type local' on the command line.

Answer: A

Explanation:
Ansible can be told to run locally on the command line with the '-c' option or can be told via the 'connection:
local' declaration in the playbook. The default connection method is 'remote'.
Reference:
http://docs.ansible.com/ansible/intro_inventory.html#non-ssh-connection-types

 

NEW QUESTION 37
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. Parametrize the template and use Mappings to ensure your template works in multiple Regions.B. Use the AWS CloudFormation ValidateTemplate call before publishing changes to AWS.C. Use CloudFormation to create brand new infrastructure for all stateless resources on each push, and run integration tests on that set of infrastructure.D. Model your stack in one template, so you can leverage CloudFormation's state management and dependency resolution to propagate all changes.

Answer: D

Explanation:
Explanation
Answer - B
Some of the best practices for Cloudformation are
* Created 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.
* Reuse Templates
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 practises, please visit the below URL:
* http://docs.aws.amazon.com/AWSCIoudFormation/latest/UserGuide/best-practices.
html

 

NEW QUESTION 38
A web application for healthcare services runs on Amazon EC2 instances behind an ELB Application Load Balancer. The instances run in an Amazon EC2 Auto Scaling group across multiple Availability Zones. A DevOps Engineer must create a mechanism in which an EC2 instance can be taken out of production so its system logs can be analyzed for issues to quickly troubleshot problems on the web tier.
How can the Engineer accomplish this task while ensuring availability and minimizing downtime?

A. Terminate the EC2 instances manually. The Auto Scaling service will upload all log information to CloudWatch Logs for analysis prior to instance termination.B. Implement Amazon CloudWatch Events rules. Create an AWS Lambda function that can react to an instance termination to deploy the CloudWatch Logs agent to upload the system and access logs to Amazon S3 for analysis.C. Implement EC2 Auto Scaling groups with lifecycle hooks. Create an AWS Lambda function that can modify an EC2 instance lifecycle hook into a standby state, extract logs from the instance through a remote script execution, and place them in an Amazon S3 bucket for analysis.D. Implement EC2 Auto Scaling groups cooldown periods. Use EC2 instance metadata to determine the instance state, and an AWS Lambda function to snapshot Amazon EBS volumes to preserve system logs.

Answer: D

 

NEW QUESTION 39
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