You need to select a pre built development environment for a series of data science experiments. You must use the R language for the experiments. Which three environments can you use? Each correct…

While ML.NET is a .NET library, it can be integrated into a broader local development environment where R is used for specific data science experiments or scripting, making that environment capable of leveraging R and considered 'pre-built' in terms of available libraries.

Azure Machine Learning Studio is a cloud-based platform that offers a pre-built, managed environment for developing, running, and managing machine learning experiments, with comprehensive support for R scripting and notebooks.

Although the Data Science Virtual Machine (DSVM) is a pre-configured VM with R installed, it is an IaaS solution that requires managing the underlying VM, potentially distinguishing it from fully managed 'pre-built development environments' like PaaS platforms in this context.

Azure Databricks is a unified analytics platform that provides a pre-built cloud environment supporting multiple languages, including R through SparkR and sparklyr, making it suitable for scalable R-based data science experiments.

Azure Cognitive Services are pre-trained AI models and APIs, not a development environment where users write custom R code for general data science experiments.