Microsoft Azure Solutions Architect Expert AZ-305 Practice Question
A financial services company plans to lift and shift its on-premises Monte Carlo risk-analysis engine to Azure. The Linux-based application scales poorly beyond 32 vCPUs and requires at least 16 GiB of RAM per vCPU. Temporary simulation data will be written to Azure Blob Storage, so local disks are not a decisive factor. To limit operational expenditure, the company will commit to 3-year reserved instances and run the entire workload on a single virtual machine. Which Azure virtual-machine series offers a size that satisfies the compute and memory requirements while avoiding the premium cost of ultra-memory SKUs?
The Edv5 series is a memory-optimized generation that provides more than 16 GiB of RAM per vCPU-meeting the application's memory-to-CPU ratio-and offers sizes with up to 32 vCPUs, fitting within the workload's scaling limit. Edv5 pricing is lower than the M-series ultra-memory SKUs that also meet the 16 GiB-per-vCPU requirement, making Edv5 the most cost-effective choice for a 3-year reserved-instance purchase. Esv5 and Lsv3 families top out at 8 GiB per vCPU, and Fsv2 provides only about 4 GiB per vCPU, so none of those families meet the engine's minimum memory specification.
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Why do Esv5 and Lsv3 VM series not meet the application's requirements?
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Microsoft Azure Solutions Architect Expert AZ-305
Design infrastructure solutions
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