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AI-900: Exploring Automated Machine Learning: True or False Statements

Test your knowledge of automated machine learning with a series of true or false statements. Understand the process of automating machine learning model development, the inference capabilities, the iterative training iterations, and the ability to predict labels automatically. Assess your understanding of automated machine learning and gain insights into its features and functionalities.

Question

For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.
Statement 1: Automated machine learning is the process of automating the time consuming, iterative tasks of machine learning model development.
Statement 2: Automated machine learning can automatically infer the training data from the use case provided.
Statement 3: Automated machine learning works by running multiple training iterations that are scored and ranked by the metrics you specify.
Statement 4: Automated machine learning enables you to specify a dataset and will automatically understand which label to predict.

Answer

Statement 1: Yes
Statement 2: No
Statement 3: Yes
Statement 4: No

Explanation

Statement 1: Yes. Automated machine learning is the process of automating the time-consuming, iterative tasks of machine learning model development, such as data preprocessing, feature engineering, model selection, and hyperparameter tuning.

Statement 2: No. Automated machine learning cannot automatically infer the training data from the use case provided. You need to specify the source of the labeled training data, either by uploading it to Azure Machine Learning or by connecting to an existing data source.

Statement 3: Yes. Automated machine learning works by running multiple training iterations that are scored and ranked by the metrics you specify. Each iteration tries a different combination of algorithms and parameters, and the best performing model is selected as the final model.

Statement 4: No. Automated machine learning does not enable you to specify a dataset and automatically understand which label to predict. You need to specify the target column or the label column in the dataset that you want to predict using automated machine learning.

Reference

Microsoft Azure Products > Azure Machine Learning > Automated machine learning

Microsoft Azure AI Fundamentals AI-900 certification exam practice question and answer (Q&A) dump with detail explanation and reference available free, helpful to pass the Microsoft Azure AI Fundamentals AI-900 exam and earn Microsoft Azure AI Fundamentals AI-900 certification.

Microsoft Azure AI Fundamentals AI-900 certification exam practice question and answer (Q&A) dump

Alex Lim is a certified IT Technical Support Architect with over 15 years of experience in designing, implementing, and troubleshooting complex IT systems and networks. He has worked for leading IT companies, such as Microsoft, IBM, and Cisco, providing technical support and solutions to clients across various industries and sectors. Alex has a bachelor’s degree in computer science from the National University of Singapore and a master’s degree in information security from the Massachusetts Institute of Technology. He is also the author of several best-selling books on IT technical support, such as The IT Technical Support Handbook and Troubleshooting IT Systems and Networks. Alex lives in Bandar, Johore, Malaysia with his wife and two chilrdren. You can reach him at [email protected] or follow him on Website | Twitter | Facebook

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