AI-900 Question 127
Select 3A data scientist at a company wants to build a machine learning model but has limited time to manually tune hyperparameters and select the best model. They decide to use Azure's Automated Machine Learning (AutoML). Which of the following capabilities of AutoML will help them streamline this process?
- A
Automatically tests multiple machine learning algorithms to identify the best-performing model.
- B
Provides pre-trained models for specific tasks, such as object detection or speech recognition.
- C
Performs hyperparameter tuning to optimize model performance.
- D
Requires manual input to determine which feature engineering techniques to apply.
- E
Generates metrics and visualizations to evaluate model performance.
Show answer and explanation
Correct answers: A, C, E
Explanation
Azure Automated Machine Learning (AutoML) simplifies the process of building and optimizing machine learning models by automating tasks such as algorithm selection, hyperparameter tuning, and performance evaluation. It enables users to focus on results without needing extensive knowledge of machine learning techniques or spending time on manual configuration.
- A. Correct.
AutoML automatically evaluates multiple machine learning algorithms to find the one that yields the best results, making this a core capability.
- B. Incorrect.
Providing pre-trained models is not a capability of AutoML; instead, it is a feature of Azure AI services like Azure Cognitive Services.
- C. Correct.
AutoML includes hyperparameter tuning capabilities, allowing it to optimize models for better performance without manual intervention.
- D. Incorrect.
AutoML automates feature engineering and does not require manual input for selecting techniques, so this option is incorrect.
- E. Correct.
AutoML produces metrics and visualizations that help users analyze and compare model performance, making this a key feature.