Câu 2: DP-100: Designing and Implementing a Data Science Solution on Azure

You plan to build a team data science environment. Data for training models in machine learning pipelines will be over 20 GB in size. You have the following requirements: ✑ Models must be built using Caffe2 or Chainer frameworks. ✑ Data scientists must be able to use a data science environment to build the machine learning pipelines and train models on their personal devices in both connected and disconnected network environments. Personal devices must support updating machine learning pipelines when connected to a network. You need to select a data science environment. Which environment should you use?

1. A. Azure Machine Learning Service — đáp án hiện tại
2. B. Azure Machine Learning Studio
3. C. Azure Databricks
4. D. Azure Kubernetes Service (AKS)