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AI-900: Azure Machine Learning Understanding Features and Labels for Product Quality Prediction


Explore the key features and labels in Azure Machine Learning for predicting product quality. Get insights into building effective models for quality assessment!

Question

You have an Azure Machine Learning model that predicts product quality. The model has a training dataset that contains 50,000 records. A sample of the data is shown in the following table.

You have an Azure Machine Learning model that predicts product quality. The model has a training dataset that contains 50,000 records. A sample of the data is shown in the following table.You have an Azure Machine Learning model that predicts product quality. The model has a training dataset that contains 50,000 records. A sample of the data is shown in the following table.

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: Mass (kg) is a feature.
Statement 2: Quality Test is a label.
Statement 3L Temperature (C) is a label.

Answer

Statement 1: Mass (kg) is a feature: Yes
Statement 2: Quality Test is a label: Yes
Statement 3: Temperature (C) is a label: No

Explanation

Statement 1: Yes
Explanation: Mass (kg) can be a feature in a machine learning model used to predict product quality, as it’s a characteristic or attribute of the product that could influence its quality.

Statement 2: Yes
Explanation: Quality Test can be a label in this context, representing the target variable or the outcome the model seeks to predict – the quality classification or assessment of the product.

Statement 3: No
Explanation: Temperature (C) is more likely to be a feature in the dataset, providing information that might be relevant to predicting product quality, rather than a label indicating the quality itself.

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

Alex Lim

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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