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 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/ This question is in AI-100 Designing and Implementing an Azure AI Solution Exam For getting Microsoft Certified: Azure AI Engineer Associate Certificate Disclaimers: The website is not related to, affiliated with, endorsed or authorized by Microsoft. The website does not contain actual questions and answers from Microsoft's Certification Exams. Trademarks, certification & product names are used for reference only and belong to Microsoft.
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