Exam AI-100 topic 4 question 29 discussion

Actual exam question from Microsoft's AI-100

Question #: 29
Topic #: 4

A data scientist deploys a deep learning model on an Fsv2 virtual machine.
Data analysis is slow.
You need to recommend which virtual machine series the data scientist must use to ensure that data analysis occurs as quickly as possible.
Which series should you recommend?

A. ND
B. B
C. DC
D. Ev3

Show Suggested Answer

Suggested Answer: A 🗳️
The N-series is a family of Azure Virtual Machines with GPU capabilities. GPUs are ideal for compute and graphics-intensive workloads, helping customers to fuel innovation through scenarios like high-end remote visualisation, deep learning and predictive analytics.
The ND-series is focused on training and inference scenarios for deep learning. It uses the NVIDIA Tesla P40 GPUs. The latest version - NDv2 - features the
NVIDIA Tesla V100 GPUs.
References:
https://azure.microsoft.com/en-in/pricing/details/virtual-machines/series/

by awron_durat at Dec. 29, 2020, 6:01 p.m.

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awron_durat

Highly Voted 4 years, 6 months ago

The answer provided is correct.

upvoted 5 times

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rveney

Most Recent 2 years ago

To ensure that the data analysis occurs as quickly as possible, you should recommend the ND virtual machine series to the data scientist. The ND virtual machine series is designed for high-performance computing and is optimized for deep learning workloads. It features NVIDIA GPUs and provides fast interconnects between nodes, which can improve the performance of data analysis. The ND virtual machine series is available in several sizes, ranging from ND6 to ND40, and can be used for a variety of deep learning workloads, including image and speech recognition, natural language processing, and reinforcement learning

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