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NEW QUESTION: 1
You configured merit guidelines as shown in the attached screenshot. If an employee has a rating of 3.05 what should be the low and high guideline that would appear in the merit guideline column in the compensation worksheet?
A. 3%-5%
B. 2%-4%
C. 0%-0%
D. 0%-10%
Answer: B
NEW QUESTION: 2
What is the purpose of using the local-exec provisioner? (select two)
A. to invoke a local executable
B. to execute one or more commands on the machine running Terraform
C. ensures that the resource is only executed in the local infrastructure where Terraform is deployed
D. executes a command on the resource to invoke an update to the Terraform state
Answer: A,B
Explanation:
The local-exec provisioner invokes a local executable after a resource is created. This invokes a process on the machine running Terraform, not on the resource.
Note that even though the resource will be fully created when the provisioner is run, there is no guarantee that it will be in an operable state - for example, system services such as sshd may not be started yet on compute resources.
NEW QUESTION: 3
A user wants to configure AutoScaling which scales up when the CPU utilization is above 70% and scales
down when the CPU utilization is below 30%. How can the user configure AutoScaling for the above
mentioned condition?
A. Use dynamic AutoScaling with a policy
B. Configure ELB to notify AutoScaling on load increase or decrease
C. Use AutoScaling with a schedule
D. Use AutoScaling by manually modifying the desired capacity during a condition
Answer: A
Explanation:
The user can configure the AutoScaling group to automatically scale up and then scale down based on
the specified conditions. To configure this, the user must setup policies which will get triggered by the
CloudWatch alarms.
Reference:
http://docs.aws.amazon.com/AutoScaling/latest/DeveloperGuide/as-scale-based-on-demand.html
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