AI-900 Question 125
Select 3You are a data scientist tasked with developing a machine learning model for predicting customer churn. You want to use Azure Machine Learning to streamline the model development process and ensure scalability. Which features of Azure Machine Learning will help you efficiently build, train, and deploy your model?
- A
Automated Machine Learning (AutoML) for automatically generating models and hyperparameter tuning.
- B
Azure Notebooks for creating and sharing Jupyter notebooks directly in the portal.
- C
Built-in model explainability tools for understanding feature importance.
- D
Integration with Azure Kubernetes Service (AKS) for scalable model deployment.
- E
Pre-built solutions for analyzing real-time social media trends.
Show answer and explanation
Correct answers: A, C, D
Explanation
Azure Machine Learning offers a variety of capabilities to streamline the end-to-end machine learning lifecycle. Automated Machine Learning (AutoML) simplifies model building and hyperparameter tuning, while built-in model explainability tools help improve trust and understanding of predictions. Integration with Azure Kubernetes Service (AKS) ensures scalable model deployment. These features collectively make Azure Machine Learning a powerful tool for building, training, and deploying machine learning models efficiently.
- A. Correct.
Automated Machine Learning (AutoML) is a core feature of Azure Machine Learning that allows you to automatically build and tune models without requiring extensive manual effort.
- B. Incorrect.
Azure Notebooks is not a part of Azure Machine Learning; it is a separate service and not directly used in the machine learning lifecycle supported by Azure Machine Learning.
- C. Correct.
Azure Machine Learning provides built-in tools for model interpretability, such as SHAP and feature importance plots, allowing you to understand your model's predictions.
- D. Correct.
Azure Machine Learning integrates with Azure Kubernetes Service (AKS) to allow you to deploy models at scale, making it ideal for production-grade deployments.
- E. Incorrect.
Pre-built solutions for analyzing real-time social media trends are not directly related to Azure Machine Learning's core capabilities but rather pertain to other Azure services.