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NEW QUESTION: 1
You have virtual machines (VMs) that run a mission-critical application.
You need to ensure that the VMs never experience down time.
What should you recommend? To answer, drag the appropriate solutions to the correct scenarios. Each solution may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.

Answer:
Explanation:

Explanation

Box 1: Scale set
A virtual machine scale set allows you to deploy and manage a set of identical, autoscaling virtual machines.
Box 2: Availability Set
An Availability Set is a logical grouping capability for isolating VM resources from each other when they're deployed. Azure makes sure that the VMs you place within an Availability Set run across multiple physical servers, compute racks, storage units, and network switches. If a hardware or software failure happens, only a subset of your VMs are impacted and your overall solution stays operational. Availability Sets are essential for building reliable cloud solutions.
Box 3: Fault domain
A fault domain is a logical group of underlying hardware that share a common power source and network switch, similar to a rack within an on-premises datacenter. As you create VMs within an availability set, the Azure platform automatically distributes your VMs across these fault domains. This approach limits the impact of potential physical hardware failures, network outages, or power interruptions.

NEW QUESTION: 2
A nine-year-old child was admitted to the hospital with a tentative diagnosis of leukemia. In order to
confirm the diagnosis, a bone marrow aspiration is scheduled. Aside from giving an age-appropriate
explanation of the procedure, the nurse should:
A. Administer the prescribed sedative before the procedure
B. Position the child in semi-fowler's position, supported by pillows
C. Let the child hold some equipment that is not sterile
D. Tell the child that there will be no pain, only pressure will be felt
Answer: A
Explanation:
Aside from giving an age-appropriate explanation of the procedure, the nurse should
administer the prescribed sedative before the procedure. This action minimizes discomfort. The child will
be placed in prone position, with a rolled towel under the hips.

NEW QUESTION: 3

A. Option A
B. Option B
C. Option C
D. Option D
Answer: B
Explanation:
http://docs.aws.amazon.com/AutoScaling/latest/DeveloperGuide/as-add-elb-healthcheck.html
Add an Elastic Load Balancing Health Check to your Auto Scaling Group By default, an Auto Scaling group periodically reviews the results of EC2 instance status to determine the health state of each instance. However, if you have associated your Auto Scaling group with an Elastic Load Balancing load balancer, you can choose to use the Elastic Load Balancing health check. In this case, Auto Scaling determines the health status of your instances by checking the results of both the EC2 instance status check and the Elastic Load Balancing instance health check.
For information about EC2 instance status checks, see Monitor Instances With Status Checks in the Amazon EC2 User Guide for Linux Instances. For information about Elastic Load Balancing health checks, see Health Check in the Elastic Load Balancing DeveloperGuide.
This topic shows you how to add an Elastic Load Balancing health check to your Auto Scaling group, assuming that you have created a load balancer and have registered the load balancer with your Auto Scaling group. If you have not registered the load balancer with your Auto Scaling group, see Set Up a Scaled and Load-Balanced Application.
Auto Scaling marks an instance unhealthy if the calls tothe Amazon EC2 action DescribeInstanceStatus return any state other than running, the system status shows impaired, or the calls to Elastic Load Balancing action DescribeInstanceHealth returns OutOfService in the instance state field.
If there are multiple load balancers associated with your Auto Scaling group, Auto Scaling checks the health state of your EC2 instances by making health check calls to each load balancer. For each call, if the Elastic Load Balancing action returns any state other than InService, theinstance is marked as unhealthy. After Auto Scaling marks an instance as unhealthy, it remains in that state, even if subsequent calls from other load balancers return an InService state for the same instance.

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