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NEW QUESTION 31
Your current log analysis application takes more than four hours to generate a report of the top 10 users of your web application. You have been asked to implement a system that can report this information in real time, ensure that the report is always up to date, and handle increases in the number of requests to your web application. Choose the option that is cost-effective and can fulfill the requirements.

A. Publish your log data to an Amazon S3 bucket. Use AWS CloudFormation to create an Auto Scalinggroup to scale your post-processing application which is configured to pull down your log files stored an Amazon S3.B. Publish your data to Cloud Watch Logs, and configure your application to autoscale to handle the load on demand.C. Create a multi-AZ Amazon RDS MySQL cluster, post the logging data to MySQL, and run a map reduce job to retrieve the required information on user counts.D. Post your log data to an Amazon Kinesis data stream, and subscribe your log-processing application so that is configured to process your logging data.

Answer: D

Explanation:
Explanation
When you see Amazon Kinesis as an option, this becomes the ideal option to process data in real time.
Amazon Kinesis makes it easy to collect, process, and analyze real-time, streaming data so you can get timely insights and react quickly to new information. Amazon Kinesis offers key capabilities to cost effectively process streaming data at any scale, along with the flexibility to choose the tools that best suit the requirements of your application. With Amazon Kinesis, you can ingest real-time data such as application logs, website clickstreams, loT telemetry data, and more into your databases, data lakes and data warehouses, or build your own real-time applications using this data.
For more information on Amazon Kinesis, please visit the below URL:
* https://aws.amazon.com/kinesis

 

NEW QUESTION 32
You have deployed a Cloudformation template which is used to spin up resources in your account. Which of the following status in Cloudformation represents a failure.

A. UPDATE_IN_PROGRESSB. UPDATE_COMPLETE_CLEANUPJN_PROGRESSC. ROLLBACK_IN_PROGRESSD. DELETE_COMPLETE

Answer: C

Explanation:
Explanation
AWS Cloud Formation provisions and configures resources by making calls to the AWS services that are described in your template.
After all the resources have been created, AWS Cloud Formation reports that your stack has been created. You can then start using the resources in your stack. If stack creation fails, AWS CloudFormation rolls back your changes by deleting the resources that it created.
The below snapshot from Cloudformation shows what happens when there is an error in the stack creation.

For more information on how Cloud Formation works, please refer to the below link:
* http://docs.ws.amazon.com/AWSCIoudFormation/latest/UserGuide/cfn-whatis-howdoesitwork-html

 

NEW QUESTION 33
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. Enable fact gathering and use the `when' conditional to match the distribution to the task.B. Use `ignore_errors: true' in the tasks.C. Use the `shell' module to write your own checks for each command that is ran.D. This isn't possible, a separate playbook for each target Linux distribution is required.

Answer: A

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 34
A retail company wants to use AWS Elastic Beanstalk to host its online sales website running on Java. Since this will be the production website, the CTO has the following requirements for the deployment strategy:
- Zero downtime. While the deployment is ongoing, the current Amazon EC2 instances in service should remain in service. No deployment or any other action should be performed on the EC2 instances because they serve production traffic.
- A new fleet of instances should be provisioned for deploying the new application version.
- Once the new application version is deployed successfully in the new fleet of instances, the new instances should be placed in service and the old ones should be removed.
- The rollback should be as easy as possible. If the new fleet of instances fail to deploy the new application version, they should be terminated and the current instances should continue serving traffic as normal.
- The resources within the environment (EC2 Auto Scaling group, Elastic Load Balancing, Elastic Beanstalk DNS CNAME) should remain the same and no DNS change should be made.
Which deployment strategy will meet the requirements?

A. launch a new environment and deploy the new application version there, then perform a CNAME swap between environments.B. Use immutable environment updates to meet all the necessary requirements.C. Use rolling deployments with additional batch with a fixed amount of one instance at a time and set the healthy threshold to OK.D. Use rolling deployments with a fixed amount of one instance at a time and set the healthy threshold to OK.

Answer: B

Explanation:
https://aws.amazon.com/about-aws/whats-new/2016/04/aws-elastic-beanstalk-adds-two-new- deployment-policies-and-amazon-linux-ami-2016-03-update/
https://docs.aws.amazon.com/elasticbeanstalk/latest/dg/environmentmgmt-updates- immutable.html
https://docs.aws.amazon.com/elasticbeanstalk/latest/dg/command-options- general.html#command-options-general-elasticbeanstalkcommand

 

NEW QUESTION 35
......

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