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NEW QUESTION 29

If designing a single playbook to run across multiple Linux distributions that have distribution specific commands, what would be the best method to allow a successful run?

  • A. This is not possible, a separate playbook for each target Linux distribution is required.
  • B. Enable fact gathering and use the `when' conditional to match the distribution to the task.
  • C. Use `ignore_errors: true' in the tasks.
  • D. Use the `shell' module to write your own checks for each command that is ran.

Answer: B

Explanation:

Ansible provides a method to only run a task when a condition is met using the `when' declarative. With gather facts enabled, the play has access to the distribution name of the Linux system, thus, tasks can be tailored to a specific distribution and ran only when the condition is met, e.g.: ` - when: ansible_os_family == "Debian"'.

Reference:

http://docs.ansible.com/ansible/playbooks_conditionals.html

NEW QUESTION 30

A healthcare services company is concerned about the growing costs of software licensing for an application for monitoring patient wellness. The company wants to create an audit process to ensure that the application is running exclusively on Amazon EC2 Dedicated Hosts. A DevOps Engineer must create a workflow to audit the application to ensure compliance.

What steps should the Engineer take to meet this requirement with the LEAST administrative overhead?

  • A. Use custom Java code running on an EC2 instance. Set up EC2 Auto Scaling for the instance depending on the number of instances to be checked. Send the list of noncompliant EC2 instance IDs to an Amazon SQS queue. Set up another worker instance to process instance IDs from the SQS queue and write them to Amazon DynamoDB. Use an AWS Lambda function to terminate noncompliant instance IDs obtained from the queue, and send them to an Amazon SNS email topic for distribution.
  • B. Use AWS CloudTrail. Identify all EC2 instances to be audited by analyzing all calls to the EC2 RunCommand API action. Invoke an AWS Lambda function that analyzes the host placement of the instance. Store the EC2 instance ID of noncompliant resources in an Amazon RDS MySOL DB instance. Generate a report by querying the RDS instance and exporting the query results to a CSV text file.
  • C. Use AWS Config. Identify all EC2 instances to be audited by enabling Config Recording on all Amazon EC2 resources for the region. Create a custom AWS Config rule that triggers an AWS Lambda function by using the "config-rule-change-triggered" blueprint. Modify the Lambda evaluateCompliance () function to verify host placement to return a NON_COMPLIANT result if the instance is not running on an EC2 Dedicated Host. Use the AWS Config report to address noncompliant instances.
  • D. Use AWS Systems Manager Configuration Compliance. Use calls to the put-compliance- items API action to scan and build a database of noncompliant EC2 instances based on their host placement configuration. Use an Amazon DynamoDB table to store these instance IDs for fast access. Generate a report through Systems Manager by calling the list-compliance- summaries API action.

Answer: C

NEW QUESTION 31

Which Auto Scaling process would be helpful when testing new instances before sending traffic to them, while still keeping them in your Auto Scaling Group?

  • A. Suspend the process AZ Rebalance
  • B. Suspend the process AddToLoadBalancer
  • C. Suspend the process Replace Unhealthy
  • D. Suspend the process Health Check

Answer: B

Explanation:

If you suspend Ad dTo Load Balancer, Auto Scaling launches the instances but does not add them to the load balancer or target group. If you resume the AddTo Load Balancer process. Auto Scaling resumes adding instances to the load balancer or target group when they are launched. However, Auto Scaling does not add the instances that were launched while this process was suspended. You must register those instances manually.

Option A is invalid because this just balances the number of CC2 instances in the group across the Availability Zones in the region Option B is invalid because this just checks the health of the instances. Auto Scaling marks an instance as unhealthy if Amazon CC2 or Clastic Load Balancing tells Auto Scaling that the instance is unhealthy.

Option C is invalid because this process just terminates instances that are marked as unhealthy and later creates new instances to replace them.

For more information on process suspension, please refer to the below document link: from AWS

http://docs.aws.amazon.com/autoscaling/latest/userguide/as-suspend-resume-processes.html

NEW QUESTION 32

You are the IT administrator for your company. You have the responsibility of creating development

environments which would confirm to the LAMP development stack. The requirement is that the development

team always gets the latest version of the LAMP stack each time a new instance is launched. Which of the

following is an efficient and effective way to implement this requirement? Choose 2 answers from the options

given below

  • A. Create a cloudformation template and use the cloud-init directives to download and the install the

    LAMP stack packages.
  • B. Create an EBS Volume with the LAMP stack and attach it to an instance whenever it is required.
  • C. Use the User data section and use a custom script which will be used to download the necessary LAMP

    stack packages.
  • D. Create an AMI with all the artifacts of the LAMP stack and provide an instance to the development team

    based on the AMI.

Answer: A,C

Explanation:

Explanation

Using User data and cloud-init directives you can always ensure you download the latest version of the LAMP

stack and give it to the development teams. With AMI's

you will always have the same version and will need to create an AMI everytime the version of the LAMP

stack changes.

The AWS Documentation mentions

When you launch an instance in Amazon CC2, you have the option of passing user data to the instance that

can be used to perform common automated

configuration tasks and even run scripts after the instance starts. You can pass two types of user data to

Amazon CC2: shell scripts and cloud-init directives. You can

also pass this data into the launch wizard as plain text, as a file (this is useful for launching instances using the

command line tools), or as base64-encoded text (for

API calls).

For more information on User data please refer to the below link:

* http://docs.aws.amazon.com/AWSCC2/latest/UserGuide/user-data.

html

NEW QUESTION 33

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