Explore efficient scaling strategies for Azure Virtual Machine Scale Sets, from autoscaling to vertical scaling, ensuring optimal performance and availability for your organization’s diverse workload requirements.
Your organization has diverse requirements for the configuration and availability of their virtual machines. You’re responsible for helping with the configuration to fulfill requests and resolve issues.
- The Admin team is testing an implementation of Azure Virtual Machine Scale Sets with five virtual machines. During testing, monitoring alerts show all virtual machines running at maximum capacity. However, you discover that when the CPU is fully consumed more virtual machines aren’t deploying in the scale set.
- The DevOps team wants to configure Azure Virtual Machine Scale Sets for their production servers. Thursday evening is typically the busiest time in preparation for delivery to customers by COB on Friday. Conversely, early Monday is generally the quietest time. You need a plan to add more machines when the workload is high.
- As load increases on applications hosted in Azure Virtual Machine Scale Sets, you want to increase the CPU capacity of the existing instances rather than deploy more instances.
Question 1
How can you ensure more virtual machines are deployed for the Admin team when the CPU is 75% consumed?
A. Manually increase the instance count.
B. Change the CPU percentage to 50%.
C. Enable the autoscale option.
Answer
C. Enable the autoscale option.
Explanation
To meet the Admin team scenario requirements, enable the autoscale option so more virtual machines are created when the CPU is 75% consumed.
A is incorrect. Manually increasing the instance count is time consuming and error prone.
B is incorrect. There’s no need to change the CPU percentage requirement.
Question 2
Which Virtual Machine Scale Sets feature can be configured to add more DevOps machines during peak production?
A. Schedule-based rules
B. Autoscale
C. Metric-based rules
Answer
A. Schedule-based rules
Explanation
With schedule-based rules, administrators proactively schedule the scale set to deploy one or any number of instances.
B is incorrect. Autoscale automatically increases or decreases the number of virtual machine instances that run the application. Is there a better solution based on demand?
C is incorrect. Metric-based rules are better for situations like CPU usage or storage disk capacity.
Question 3
What types of scaling can you use to increase the CPU capacity for your existing Virtual Machine Scale Sets instances?
A. Horizontal scaling
B. Vertical scaling
C. Load balancing
Answer
B. Vertical scaling
Explanation
Vertical scaling increases the capacity of existing instances within Azure Virtual Machine Scale Sets.
A is incorrect. Horizontal scaling increases the number of instances within Azure Virtual Machine Scale Sets.
C is incorrect. Load balancing distributes traffic across instances in Azure Virtual Machine Scale Sets. Load balancing doesn’t alter the number or performance of instances within Azure Virtual Machine Scale Sets.
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