Discover the optimal method for multi-store demand forecasting in AI-900 certification scenarios. Learn why embarrassingly parallel training is the key to success.
Table of Contents
Question
You have a forecast demand scenario for which you need to train a model for multiple stores. Which of the following approaches should you use for this?
A. Custom training for each store using recommender systems
B. Embarrassingly parallel training
C. Manually forecasting demand for each store
D. Clustering using unsupervised learning
Answer
B. Embarrassingly parallel training
Explanation
Embarrassingly parallel training is ideal for scenarios where independent tasks can be run simultaneously without communication or dependencies. In this case, training a separate model for each store can be easily distributed, utilizing multiple cores or machines to significantly speed up the training process. Embarrassingly parallel training, also known as embarrassingly parallelizable or perfectly parallel training, is a machine learning technique where a training task can be efficiently divided into independent subtasks that can be executed simultaneously on multiple processing units without requiring communication or synchronization between them.
Clustering using unsupervised learning would not directly address forecasting for multiple stores. It can be used if you need to group stores with similar demand patterns.
Custom training for each store using recommender systems is not a scalable solution for a forecast demand scenario. It can be resource intensive and complex to manage individual models for many stores. You can use this approach when you have significant store-specific data and need highly personalized recommendations for them.
Manually forecasting demand for each store is not a scalable solution for a forecast demand scenario. This is time consuming, prone to errors, and does not scale well for multiple stores.
Microsoft Azure AI Fundamentals AI-900 certification exam practice question and answer (Q&A) dump with detail explanation and reference available free, helpful to pass the Microsoft Azure AI Fundamentals AI-900 exam and earn Microsoft Azure AI Fundamentals AI-900 certification.