HOTSPOT - You are designing a cost-optimized solution that uses Azure Batch to run two types of jobs on Linux nodes. The first job type will consist of short-ru...


Microsoft AZ-305 Exam

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Question 190
HOTSPOT -
You are designing a cost-optimized solution that uses Azure Batch to run two types of jobs on Linux nodes. The first job type will consist of short-running tasks for a development environment. The second job type will consist of long-running Message Passing Interface (MPI) applications for a production environment that requires timely job completion.
You need to recommend the pool type and node type for each job type. The solution must minimize compute charges and leverage Azure Hybrid Benefit whenever possible.
What should you recommend? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Hot Area:
AZ-305_190Q.jpg related to the Microsoft AZ-305 Exam



Box 1: User subscription and low-priority virtual machines
The first job type will consist of short-running tasks for a development environment.
Among the many ways to purchase and consume Azure resources are Azure low priority VMs and Spot VMs. These virtual machines are compute instances allocated from spare capacity, offered at a highly discounted rate compared to "on demand" VMs. This means they can be a great option for cost savings - for the right workloads
Box 2: Batch service and dedicate virtual machines
The second job type will consist of long-running Message Passing Interface (MPI) applications for a production environment that requires timely job completion.
Azure Batch Service is a cloud based job scheduling and compute management platform that enables running large-scale parallel and high performance computing applications efficiently in the cloud. Azure Batch Service provides job scheduling and in automatically scaling and managing virtual machines running those jobs.
Reference:
https://www.parkmycloud.com/blog/azure-low-priority-vms
https://azure.microsoft.com/en-us/pricing/details/batch/





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