Answer: Create a Compute Instance and use it to run code in Jupyter notebooks., Use the designer to train a model by dragging and dropping pre-defined modules., Use the Automated Machine Learning user interface to train a model.

The question asks which three tasks can be performed in an Azure Machine Learning Basic edition workspace. Based on the community discussion and Azure ML documentation, the Basic edition supports: A) Creating a Compute Instance to run code in Jupyter notebooks, which is a core development feature; C) Using the designer to train models via drag-and-drop modules, as the designer is available in Basic edition; and E) Using the Automated ML user interface for model training, which is also supported in Basic edition. Option B (Create an AKS inference cluster) is incorrect because AKS deployment requires the Enterprise edition (now retired, but Basic does not support advanced compute like AKS clusters). Option D (Create a versioned tabular dataset) is incorrect as dataset versioning is an Enterprise feature, not available in Basic edition. The community consensus, with high upvotes for ACE (80%), confirms this, and recent comments (e.g., December 2023) align with Azure ML capabilities, noting that AKS and versioned datasets are not supported in Basic edition.

Author: LeetQuiz Editorial Team