A healthcare provider has a hybrid architecture that includes 120 on-premises VMware servers running RedHat and 50 Amazon EC2 instances running Amazon Linux. The company is in the middle of an all-in migration to AWS and wants to implement a solution for collecting information from the on-premises virtual machines and the EC2 instances for data analysis. The information includes:
- Operating system type and version
- Data for installed applications
- Network configuration information, such as MAC and IP addresses
- Amazon EC2 instance AMI ID and IAM profile
How can these requirements be met with the LEAST amount of administration?

• A.Use AWS Application Discovery Service for deploying Agentless Discovery Connector in the VMware environment and Discovery Agents on the EC2 instances for collecting the data. Then use the AWS Migration Hub Dashboard for analytics.
• B.Install AWS Systems Manager agents on both the on-premises virtual machines and the EC2 instances.
  Enable inventory collection and configure resource data sync to an Amazon S3 bucket to analyze the data with Amazon Athena.
• C.Write a shell script to run as a cron job on EC2 instances to collect and push the data to Amazon S3. For on-premises resources, use VMware vSphere to collect the data and write it into a file gateway for storing the data in S3. Finally, use Amazon Athena on the S3 bucket for analytics.
• D.Use a script on the on-premises virtual machines as well as the EC2 instances to gather and push the data into Amazon S3, and then use Amazon Athena for analytics.

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You have an Auto Scaling group with 2 AZs. One AZ has 4 EC2 instances and the other has 3 EC2 instances.
None of the instances are protected from scale in. Based on the default Auto Scaling termination policy what will happen?

• A.Auto Scaling selects an instance to terminate randomly
• B.Auto Scaling will terminate unprotected instances in the Availability Zone with the oldest launch configuration.
• C.Auto Scaling terminates which unprotected instances are closest to the next billing hour.
• D.Auto Scaling will select the AZ with 4 EC2 instances and terminate an instance.

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One of the instances in your Auto Scaling group health check returns the status of Impaired to Auto Scaling.
What will Auto Scaling do in this case.

• A.Terminate the instance and launch a new instance
• B.Send an SNS notification
• C.Perform a health check until cool down before declaring that the instance has failed
• D.Wait for the instance to become healthy before sending traffic

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A DevOps Engineer is implementing a mechanism for canary testing an application on AWS. The application was recently modified and went through security, unit, and functional testing. The application needs to be deployed on an AutoScaling group and must use a Classic Load Balancer.
Which design meets the requirement for canary testing?

• A.Create a different Classic Load Balancer and Auto Scaling group for blue/green environments.
  Use Amazon Route 53 and create weighted A records on Classic Load Balancer.
• B.Create a single Classic Load Balancer and an Auto Scaling group for blue/green environments.
  Use Amazon Route 53 and create A records for Classic Load Balancer IPs. Adjust traffic using A records.
• C.Create a single Classic Load Balancer and an Auto Scaling group for blue/green environments.
  Create an Amazon CloudFront distribution with the Classic Load Balancer as the origin. Adjust traffic using CloudFront.
• D.Create a different Classic Load Balancer and Auto Scaling group for blue/green environments.
  Create an Amazon API Gateway with a separate stage for the Classic Load Balancer. Adjust traffic by giving weights to this stage.

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Which of the following is false when it comes to using the Elastic Load balancer with Opsworks stacks?

• A.Youcan attach only one load balancer to a layer.
• B.A Classic Load Balancer can span across AWSOpsWorks Stacks layers.
• C.Eachload balancer can handle only one layer.
• D.Youneed to create the load balancer before hand and then attach it to the Opsworkstack.

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