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NEW QUESTION 26
When an Auto Scaling group is running in Amazon Elastic Compute Cloud (EC2), your application rapidly scales up and down in response to load within a 10-minute window; however, after the load peaks, you begin to see problems in your configuration management system where previously terminated Amazon EC2 resources are still showing as active.
What would be a reliable and efficient way to handle the cleanup of Amazon EC2 resources within your configuration management system?
Choose 2 answers

• A. Use your existing configuration management system to control the launching and bootstrapping of instances to reduce the number of moving parts in the automation.
• B. Configure an Amazon Simple Queue Service (SQS) queue for Auto Scaling actions that has a script that listens for new messages and removes terminated instances from the configuration management system.
• C. Write a small script that is run during Amazon EC2 instance shutdown to de-register the resource from the configuration management system.
• D. Write a script that is run by a daily cron job on an Amazon EC2 instance and that executes API Describe calls of the EC2 Auto Scaling group and removes terminated instances from the configuration management system.
• E. Use Amazon Simple Workflow Service (SWF) to maintain an Amazon DynamoDB database that contains a whitelist of instances that have been previously launched, and allow the Amazon SWF worker to remove information from the configuration management system.

Answer: A,C

NEW QUESTION 27
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 AddToLoadBalancer
• B. Suspend the process Health Check
• C. Suspend the process AZ Rebalance
• D. Suspend the process Replace Unhealthy

Answer: A

Explanation:
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 28
A Development team is building more than 40 applications. Each app is a three-tiered web application based on an ELB Application Load Balancer, Amazon EC2, and Amazon RDS. Because the applications will be used internally, the Security team wants to allow access to the 40 applications only from the corporate network and block access from external IP addresses. The corporate network reaches the internet through proxy servers.
The proxy servers have 12 proxy IP addresses that are being changed one or two times per month. The Network Infrastructure team manages the proxy servers; they upload the file that contains the latest proxy IP addresses into an Amazon S3 bucket. The DevOps Engineer must build a solution to ensure that the applications are accessible from the corporate network.
Which solution achieves these requirements with MINIMAL impact to application development, MINIMAL operational effort, and the LOWEST infrastructure cost?

• A. Implement an AWS Lambda function to read the list of proxy IP addresses from the S3 object and to update the ELB security groups to allow HTTPS only from the given IP addresses. Configure the S3 bucket to invoke the Lambda function when the object is updated. Save the IP address list to the S3 bucket when they are changed.
• B. Ensure that all the applications are hosted in the same Virtual Private Cloud (VPC). Otherwise, consolidate the applications into a single VPC. Establish an AWS Direct Connect connection with an active/standby configuration. Change the ELB security groups to allow only inbound HTTPS connections from the corporate network IP addresses.
• C. Implement a Python script with the AWS SDK for Python (Boto), which downloads the S3 object that contains the proxy IP addresses, scans the ELB security groups, and updates them to allow only HTTPS inbound from the given IP addresses. Launch an EC2 instance and store the script in the instance. Use a cron job to execute the script daily.
• D. Enable ELB security groups to allow HTTPS inbound access from the Internet. Use Amazon Cognito to integrate the company's Active Directory as the identity provider. Change the 40 applications to integrate with Amazon Cognito so that only company employees can log into the application. Save the user access logs to Amazon CloudWatch Logs to record user access activities

Answer: A

NEW QUESTION 29
You have instances running on your VPC. You have both production and development based instances running in the VPC. You want to ensure that people who are responsible for the development instances don't have the access to work on the production instances to ensure better security. Using policies, which of the following would be the best way to accomplish this? Choose the correct answer from the options given below

• A. Launchthe test and production instances in different Availability Zones and use MultiFactor Authentication
• B. Definethe tags on the test and production servers and add a condition to the lAMpolicy which allows access to specific tags
• C. Launchthe test and production instances in separate VPC's and use VPC peering
• D. Createan 1AM policy with a condition which allows access to only instances that areused for production or development

Answer: B

Explanation:
Explanation
You can easily add tags which define which instances are production and which are development instances and then ensure these tags are used when controlling access via an 1AM policy.
For more information on tagging your resources, please refer to the below link:
* http://docs.aws.amazon.com/AWSCC2/latest/UserGuide/Using_Tags.html
*

NEW QUESTION 30
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