{"id":10254,"date":"2023-05-02T10:10:45","date_gmt":"2023-05-02T10:10:45","guid":{"rendered":"https:\/\/www.scmgalaxy.com\/tutorials\/?p=10254"},"modified":"2023-06-19T13:29:45","modified_gmt":"2023-06-19T13:29:45","slug":"top-50-automated-machine-learning-interview-questions-with-answers","status":"publish","type":"post","link":"https:\/\/www.scmgalaxy.com\/tutorials\/top-50-automated-machine-learning-interview-questions-with-answers\/","title":{"rendered":"Top 50 Automated machine learning Interview Questions with Answers"},"content":{"rendered":"<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-full is-resized\"><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/www.scmgalaxy.com\/tutorials\/wp-content\/uploads\/2023\/05\/image-47.png\" alt=\"\" class=\"wp-image-10255\" width=\"688\" height=\"387\" srcset=\"https:\/\/www.scmgalaxy.com\/tutorials\/wp-content\/uploads\/2023\/05\/image-47.png 640w, https:\/\/www.scmgalaxy.com\/tutorials\/wp-content\/uploads\/2023\/05\/image-47-300x169.png 300w\" sizes=\"auto, (max-width: 688px) 100vw, 688px\" \/><figcaption class=\"wp-element-caption\"><strong><em>Automated machine learning Interview Questions with Answers<\/em><\/strong><\/figcaption><\/figure>\n<\/div>\n\n\n<ol class=\"wp-block-list\">\n<li>Which of the following is not a type of automated machine learning?<br>a) Bayesian optimization<br>b) Neural networks<br>c) Random search<br>d) All of the above are types of automated machine learning<\/li>\n<\/ol>\n\n\n\n<h4 class=\"wp-block-heading\">Answer: d) All of the above are types of automated machine learning<\/h4>\n\n\n\n<ol class=\"wp-block-list\" start=\"2\">\n<li>Automated machine learning is sometimes called:<br>a) AutoML<br>b) Automated AI<br>c) MLaaS<br>d) AIaaS<\/li>\n<\/ol>\n\n\n\n<h4 class=\"wp-block-heading\">Answer: a) AutoML<\/h4>\n\n\n\n<ol class=\"wp-block-list\" start=\"3\">\n<li>Which of the following is a tool for automated machine learning?<br>a) H2O<br>b) TensorFlow<br>c) PyTorch<br>d) All of the above are tools for automated machine learning<\/li>\n<\/ol>\n\n\n\n<h4 class=\"wp-block-heading\">Answer: d) All of the above are tools for automated machine learning<\/h4>\n\n\n\n<ol class=\"wp-block-list\" start=\"4\">\n<li>The goal of automated machine learning is to:<br>a) Replace human data scientists<br>b) Generate insights faster<br>c) Improve accuracy of models<br>d) All of the above<\/li>\n<\/ol>\n\n\n\n<h4 class=\"wp-block-heading\">Answer: d) All of the above<\/h4>\n\n\n\n<ol class=\"wp-block-list\" start=\"5\">\n<li>Which of the following is not an advantage of automated machine learning?<br>a) Increased accuracy<br>b) Faster model development<br>c) Cost savings<br>d) Reduced need for human expertise<\/li>\n<\/ol>\n\n\n\n<h4 class=\"wp-block-heading\">Answer: d) Reduced need for human expertise<\/h4>\n\n\n\n<ol class=\"wp-block-list\" start=\"6\">\n<li>Which of the following best describes hyperparameter tuning in automated machine learning?<br>a) The process of selecting the best model architecture<br>b) The process of selecting the best set of parameters for a given model architecture<br>c) The process of selecting the best data preprocessing techniques<br>d) The process of selecting the best evaluation metrics<\/li>\n<\/ol>\n\n\n\n<h4 class=\"wp-block-heading\">Answer: b) The process of selecting the best set of parameters for a given model architecture<\/h4>\n\n\n\n<ol class=\"wp-block-list\" start=\"7\">\n<li>Which of the following is not a common technique used in automated machine learning?<br>a) Gradient boosting<br>b) Random forest<br>c) Naive Bayes<br>d) All of the above are common techniques used in automated machine learning<\/li>\n<\/ol>\n\n\n\n<h4 class=\"wp-block-heading\">Answer: c) Naive Bayes<\/h4>\n\n\n\n<ol class=\"wp-block-list\" start=\"8\">\n<li>Which of the following best describes transfer learning in automated machine learning?<br>a) The process of applying an already trained model to a new problem<br>b) The process of combining multiple models to improve accuracy<br>c) The process of generating new data to improve model performance<br>d) The process of selecting the best set of hyperparameters for a given model architecture<\/li>\n<\/ol>\n\n\n\n<h4 class=\"wp-block-heading\">Answer: a) The process of applying an already trained model to a new problem<\/h4>\n\n\n\n<ol class=\"wp-block-list\" start=\"9\">\n<li>Which of the following is not a step in the automated machine learning process?<br>a) Data preprocessing<br>b) Model selection<br>c) Data labeling<br>d) All of the above are steps in the automated machine learning process<\/li>\n<\/ol>\n\n\n\n<h4 class=\"wp-block-heading\">Answer: c) Data labeling<\/h4>\n\n\n\n<ol class=\"wp-block-list\" start=\"10\">\n<li>Which of the following best describes feature engineering in automated machine learning?<br>a) The process of selecting the best set of features for a given model architecture<br>b) The process of generating new features from existing ones to improve model performance<br>c) The process of cleaning and normalizing data for modeling<br>d) The process of selecting the best set of hyperparameters for a given model architecture<\/li>\n<\/ol>\n\n\n\n<h4 class=\"wp-block-heading\">Answer: b) The process of generating new features from existing ones to improve model performance<\/h4>\n\n\n\n<ol class=\"wp-block-list\" start=\"11\">\n<li>Which of the following best describes regularization in automated machine learning?<br>a) The process of adding noise to the data to improve model performance<br>b) The process of constraining model weights to prevent overfitting<br>c) The process of selecting the best set of features for a given model architecture<br>d) The process of selecting the best set of hyperparameters for a given model architecture<\/li>\n<\/ol>\n\n\n\n<h4 class=\"wp-block-heading\">Answer: b) The process of constraining model weights to prevent overfitting<\/h4>\n\n\n\n<ol class=\"wp-block-list\" start=\"12\">\n<li>Which of the following is a disadvantage of automated machine learning?<br>a) Lack of interpretability of models<br>b) Limited flexibility in model development<br>c) Need for large amounts of labeled data<br>d) All of the above are disadvantages of automated machine learning<\/li>\n<\/ol>\n\n\n\n<h4 class=\"wp-block-heading\">Answer: d) All of the above are disadvantages of automated machine learning<\/h4>\n\n\n\n<ol class=\"wp-block-list\" start=\"13\">\n<li>Which of the following best describes ensemble learning in automated machine learning?<br>a) The process of combining multiple models to improve accuracy<br>b) The process of applying an already trained model to a new problem<br>c) The process of selecting the best set of features for a given model architecture<br>d) The process of selecting the best set of hyperparameters for a given model architecture<\/li>\n<\/ol>\n\n\n\n<h4 class=\"wp-block-heading\">Answer: a) The process of combining multiple models to improve accuracy<\/h4>\n\n\n\n<ol class=\"wp-block-list\" start=\"14\">\n<li>Which of the following is not a metric commonly used to evaluate model performance in automated machine learning?<br>a) Accuracy<br>b) Precision<br>c) Recall<br>d) All of the above are commonly used metrics to evaluate model performance<\/li>\n<\/ol>\n\n\n\n<h4 class=\"wp-block-heading\">Answer: d) All of the above are commonly used metrics to evaluate model performance<\/h4>\n\n\n\n<ol class=\"wp-block-list\" start=\"15\">\n<li>Which of the following best describes deep learning in automated machine learning?<br>a) The process of applying an already trained model to a new problem<br>b) The process of generating new features from existing ones to improve model performance<br>c) The process of selecting the best set of hyperparameters for a given model architecture<br>d) The process of using multiple layers of neural networks to learn complex relationships in data<\/li>\n<\/ol>\n\n\n\n<h4 class=\"wp-block-heading\">Answer: d) The process of using multiple layers of neural networks to learn complex relationships in data<\/h4>\n\n\n\n<ol class=\"wp-block-list\" start=\"16\">\n<li>Which of the following best describes a genetic algorithm in automated machine learning?<br>a) The process of selecting models based on their performance on a validation set<br>b) The process of generating new models by combining and mutating existing models<br>c) The process of selecting the best set of hyperparameters for a given model architecture<br>d) The process of selecting the best set of data preprocessing techniques<\/li>\n<\/ol>\n\n\n\n<h4 class=\"wp-block-heading\">Answer: b) The process of generating new models by combining and mutating existing models<\/h4>\n\n\n\n<ol class=\"wp-block-list\" start=\"17\">\n<li>Which of the following best describes unsupervised learning in automated machine learning?<br>a) The process of using labeled data to train models<br>b) The process of using generative models to generate new data<br>c) The process of using data without labels to find patterns or groupings<br>d) The process of selecting the best set of hyperparameters for a given model architecture<\/li>\n<\/ol>\n\n\n\n<h4 class=\"wp-block-heading\">Answer: c) The process of using data without labels to find patterns or groupings<\/h4>\n\n\n\n<ol class=\"wp-block-list\" start=\"18\">\n<li>Which of the following is a common use case for automated machine learning?<br>a) Predictive maintenance<br>b) Fraud detection<br>c) Image classification<br>d) All of the above are common use cases for automated machine learning<\/li>\n<\/ol>\n\n\n\n<h4 class=\"wp-block-heading\">Answer: d) All of the above are common use cases for automated machine learning<\/h4>\n\n\n\n<ol class=\"wp-block-list\" start=\"19\">\n<li>Which of the following best describes a tree-based algorithm in automated machine learning?<br>a) The process of using data without labels to find patterns or groupings<br>b) The process of generating new features from existing ones to improve model performance<br>c) The process of selecting the best set of hyperparameters for a given model architecture<br>d) The process of using decision trees to make predictions<\/li>\n<\/ol>\n\n\n\n<h4 class=\"wp-block-heading\">Answer: d) The process of using decision trees to make predictions<\/h4>\n\n\n\n<ol class=\"wp-block-list\" start=\"20\">\n<li>Which of the following is not a type of data pre-processing commonly used in automated machine learning?<br>a) Normalization<br>b) Imputation<br>c) Standardization<br>d) All of the above are types of data pre-processing commonly used in automated machine learning<\/li>\n<\/ol>\n\n\n\n<h4 class=\"wp-block-heading\">Answer: d) All of the above are types of data pre-processing commonly used in automated machine learning<\/h4>\n\n\n\n<ol class=\"wp-block-list\" start=\"21\">\n<li>Which of the following best describes dimensionality reduction in automated machine learning?<br>a) The process of selecting the best set of features for a given model architecture<br>b) The process of generating new features from existing ones to improve model performance<br>c) The process of reducing the number of features to improve model performance<br>d) The process of selecting the best set of hyperparameters for a given model architecture<\/li>\n<\/ol>\n\n\n\n<h4 class=\"wp-block-heading\">Answer: c) The process of reducing the number of features to improve model performance<\/h4>\n\n\n\n<ol class=\"wp-block-list\" start=\"22\">\n<li>Which of the following is not a tool for evaluating models in automated machine learning?<br>a) Confusion matrix<br>b) ROC curve<br>c) Precision-recall curve<br>d) All of the above are tools for evaluating models in automated machine learning<\/li>\n<\/ol>\n\n\n\n<h4 class=\"wp-block-heading\">Answer: d) All of the above are tools for evaluating models in automated machine learning<\/h4>\n\n\n\n<ol class=\"wp-block-list\" start=\"23\">\n<li>Which of the following is a common algorithm used for classification in automated machine learning?<br>a) Linear regression<br>b) K-means clustering<br>c) Logistic regression<br>d) All of the above are common algorithms used for classification in automated machine learning<\/li>\n<\/ol>\n\n\n\n<h4 class=\"wp-block-heading\">Answer: c) Logistic regression<\/h4>\n\n\n\n<ol class=\"wp-block-list\" start=\"24\">\n<li>Which of the following best describes transfer learning in automated machine learning?<br>a) The process of applying an already trained model to a new problem<br>b) The process of generating new data to improve model performance<br>c) The process of combining multiple models to improve accuracy<br>d) The process of selecting the best set of hyperparameters for a given model architecture<\/li>\n<\/ol>\n\n\n\n<h4 class=\"wp-block-heading\">Answer: a) The process of applying an already trained model to a new problem<\/h4>\n\n\n\n<ol class=\"wp-block-list\" start=\"25\">\n<li>Which of the following is an advantage of automated machine learning?<br>a) Reduced time and cost of model development<br>b) Increased interpretability of models<br>c) Reduced need for labeled data<br>d) All of the above are advantages of automated machine learning<\/li>\n<\/ol>\n\n\n\n<h4 class=\"wp-block-heading\">Answer: a) Reduced time and cost of model development<\/h4>\n\n\n\n<ol class=\"wp-block-list\" start=\"26\">\n<li>Which of the following best describes active learning in automated machine learning?<br>a) The process of selecting models based on their performance on a validation set<br>b) The process of selecting the best set of hyperparameters for a given model architecture<br>c) The process of using a human-in-the-loop to label data and improve model performance<br>d) The process of generating new models by combining and mutating existing models<\/li>\n<\/ol>\n\n\n\n<h4 class=\"wp-block-heading\">Answer: c) The process of using a human-in-the-loop to label data and improve model performance<\/h4>\n\n\n\n<ol class=\"wp-block-list\" start=\"27\">\n<li>Which of the following is not a type of model architecture commonly used in automated machine learning?<br>a) Convolutional neural network<br>b) Recurrent neural network<br>c) Random forest<br>d) All of the above are types of model architectures commonly used in automated machine learning<\/li>\n<\/ol>\n\n\n\n<h4 class=\"wp-block-heading\">Answer: d) All of the above are types of model architectures commonly used in automated machine learning<\/h4>\n\n\n\n<ol class=\"wp-block-list\" start=\"28\">\n<li>Which of the following best describes cross-validation in automated machine learning?<br>a) The process of splitting data into training and testing sets<br>b) The process of using different evaluation metrics to assess model performance<br>c) The process of selecting the best set of hyperparameters for a given model architecture<br>d) The process of training and testing multiple models on different subsets of the data to reduce overfitting<\/li>\n<\/ol>\n\n\n\n<h4 class=\"wp-block-heading\">Answer: d) The process of training and testing multiple models on different subsets of the data to reduce overfitting<\/h4>\n\n\n\n<ol class=\"wp-block-list\" start=\"29\">\n<li>Which of the following best describes a convolutional neural network in automated machine learning?<br>a) A type of neural network commonly used for natural language processing<br>b) A type of neural network commonly used for image classification<br>c) A type of model architecture commonly used for regression problems<br>d) None of the above<\/li>\n<\/ol>\n\n\n\n<h4 class=\"wp-block-heading\">Answer: b) A type of neural network commonly used for image classification<\/h4>\n\n\n\n<ol class=\"wp-block-list\" start=\"30\">\n<li>Which of the following is not a technique for feature engineering in automated machine learning?<br>a) One-hot encoding<br>b) Principal component analysis<br>c) Gradient boosting<br>d) All of the above are techniques for feature engineering in automated machine learning<\/li>\n<\/ol>\n\n\n\n<h4 class=\"wp-block-heading\">Answer: c) Gradient boosting<\/h4>\n\n\n\n<ol class=\"wp-block-list\" start=\"31\">\n<li>Which of the following best describes model selection in automated machine learning?<br>a) The process of selecting the best set of features for a given model architecture<br>b) The process of selecting the best set of hyperparameters for a given model architecture<br>c) The process of choosing the best model architecture for a given problem<br>d) The process of generating new data to improve model performance<\/li>\n<\/ol>\n\n\n\n<h4 class=\"wp-block-heading\">Answer: c) The process of choosing the best model architecture for a given problem<\/h4>\n\n\n\n<ol class=\"wp-block-list\" start=\"32\">\n<li>Which of the following best describes deep reinforcement learning in automated machine learning?<br>a) The process of using multiple layers of neural networks to learn complex relationships in data<br>b) The process of using reinforcement learning to train models to make optimal decisions<br>c) The process of generating new data to improve model performance<br>d) The process of selecting the best set of hyperparameters for a given model architecture<\/li>\n<\/ol>\n\n\n\n<h4 class=\"wp-block-heading\">Answer: b) The process of using reinforcement learning to train models to make optimal decisions<\/h4>\n\n\n\n<ol class=\"wp-block-list\" start=\"33\">\n<li>Which of the following is not a step in model deployment for automated machine learning?<br>a) Exporting the model as an API or library<br>b) Testing the model on new data<br>c) Re-training the model on a regular basis<br>d) All of the above are steps in model deployment for automated machine learning<\/li>\n<\/ol>\n\n\n\n<h4 class=\"wp-block-heading\">Answer: d) All of the above are steps in model deployment for automated machine learning<\/h4>\n\n\n\n<ol class=\"wp-block-list\" start=\"34\">\n<li>Which of the following best describes transfer learning in automated machine learning?<br>a) The process of applying an already trained model to a new problem<br>b) The process of selecting the best set of hyperparameters for a given model architecture<br>c) The process of using a human-in-the-loop to label data and improve model performance<br>d) The process of generating new data to improve model performance<\/li>\n<\/ol>\n\n\n\n<h4 class=\"wp-block-heading\">Answer: a) The process of applying an already trained model to a new problem<\/h4>\n\n\n\n<ol class=\"wp-block-list\" start=\"35\">\n<li>Which of the following best describes the bias-variance tradeoff in automated machine learning?<br>a) The tradeoff between model complexity and model accuracy<br>b) The tradeoff between overfitting and underfitting<br>c) The tradeoff between interpretability and accuracy<br>d) None of the above<\/li>\n<\/ol>\n\n\n\n<h4 class=\"wp-block-heading\">Answer: b) The tradeoff between overfitting and underfitting<\/h4>\n\n\n\n<ol class=\"wp-block-list\" start=\"36\">\n<li>Which of the following is not a type of clustering commonly used in automated machine learning?<br>a) K-means clustering<br>b) Hierarchical clustering<br>c) DBSCAN clustering<br>d) All of the above are types of clustering commonly used in automated machine learning<\/li>\n<\/ol>\n\n\n\n<h4 class=\"wp-block-heading\">Answer: d) All of the above are types of clustering commonly used in automated machine learning<\/h4>\n\n\n\n<ol class=\"wp-block-list\" start=\"37\">\n<li>Which of the following best describes data augmentation in automated machine learning?<br>a) The process of generating new data to improve model performance<br>b) The process of using transfer learning to apply an already trained model to a new problem<br>c) The process of selecting the best set of features for a given model architecture<br>d) The process of selecting the best set of hyperparameters for a given model architecture<\/li>\n<\/ol>\n\n\n\n<h4 class=\"wp-block-heading\">Answer: a) The process of generating new data to improve model performance<\/h4>\n\n\n\n<ol class=\"wp-block-list\" start=\"38\">\n<li>Which of the following is not a type of regression commonly used in automated machine learning?<br>a) Linear regression<br>b) Logistic regression<br>c) Least-squares regression<br>d) All of the above are types of regression commonly used in automated machine learning<\/li>\n<\/ol>\n\n\n\n<h4 class=\"wp-block-heading\">Answer: c) Least-squares regression<\/h4>\n\n\n\n<ol class=\"wp-block-list\" start=\"39\">\n<li>Which of the following best describes grid search in automated machine learning?<br>a) The process of selecting the best set of features for a given model architecture<br>b) The process of generating new data to improve model performance<br>c) The process of selecting the best set of hyperparameters for a given model architecture by trying all combinations from a predefined set of values<br>d) None of the above<\/li>\n<\/ol>\n\n\n\n<h4 class=\"wp-block-heading\">Answer: c) The process of selecting the best set of hyperparameters for a given model architecture by trying all combinations from a predefined set of values<\/h4>\n\n\n\n<ol class=\"wp-block-list\" start=\"40\">\n<li>Which of the following is not a common type of neural network used in automated machine learning?<br>a) Convolutional neural network<br>b) Recurrent neural network<br>c) Multilayer perceptron<br>d) All of the above are common types of neural networks used in automated machine learning<\/li>\n<\/ol>\n\n\n\n<h4 class=\"wp-block-heading\">Answer: d) All of the above are common types of neural networks used in automated machine learning<\/h4>\n\n\n\n<ol class=\"wp-block-list\" start=\"41\">\n<li>Which of the following best describes natural language processing in automated machine learning?<br>a) The process of using data without labels to find patterns or groupings<br>b) The process of using neural networks to make predictions on text data<br>c) The process of using feature engineering techniques to extract meaningful information from text data<br>d) All of the above<\/li>\n<\/ol>\n\n\n\n<h4 class=\"wp-block-heading\">Answer: d) All of the above<\/h4>\n\n\n\n<ol class=\"wp-block-list\" start=\"42\">\n<li>Which of the following best describes a recommender system in automated machine learning?<br>a) The system that recommends models to use for a given problem<br>b) The system that recommends products or services to users based on their behavior or preferences<br>c) The system that recommends new data to improve model performance<br>d) None of the above<\/li>\n<\/ol>\n\n\n\n<h4 class=\"wp-block-heading\">Answer: b) The system that recommends products or services to users based on their behavior or preferences<\/h4>\n\n\n\n<ol class=\"wp-block-list\" start=\"43\">\n<li>Which of the following is not a type of data commonly used in automated machine learning?<br>a) Structured data<br>b) Unstructured data<br>c) Semi-structured data<br>d) All of the above are common types of data used in automated machine learning<\/li>\n<\/ol>\n\n\n\n<h4 class=\"wp-block-heading\">Answer: d) All of the above are common types of data used in automated machine learning<\/h4>\n\n\n\n<ol class=\"wp-block-list\" start=\"44\">\n<li>Which of the following best describes a support vector machine in automated machine learning?<br>a) A type of model architecture commonly used for regression problems<br>b) A type of model architecture commonly used for image classification<br>c) A type of model architecture commonly used for classification problems<br>d) None of the above<\/li>\n<\/ol>\n\n\n\n<h4 class=\"wp-block-heading\">Answer: c) A type of model architecture commonly used for classification problems<\/h4>\n\n\n\n<ol class=\"wp-block-list\" start=\"45\">\n<li>Which of the following is not a type of anomaly detection commonly used in automated machine learning?<br>a) Isolation Forest<br>b) Local Outlier Factor<br>c) Gaussian Mixture Model<br>d) All of the above are types of anomaly detection commonly used in automated machine learning<\/li>\n<\/ol>\n\n\n\n<h4 class=\"wp-block-heading\">Answer: d) All of the above are types of anomaly detection commonly used in automated machine learning<\/h4>\n\n\n\n<ol class=\"wp-block-list\" start=\"46\">\n<li>Which of the following best describes parallel processing in automated machine learning?<br>a) The process of training multiple models simultaneously to reduce training time<br>b) The process of using a cloud-based infrastructure to scale model training and deployment<br>c) The process of using transfer learning to apply an already trained model to a new problem<br>d) None of the above<\/li>\n<\/ol>\n\n\n\n<h4 class=\"wp-block-heading\">Answer: a) The process of training multiple models simultaneously to reduce training time<\/h4>\n\n\n\n<ol class=\"wp-block-list\" start=\"47\">\n<li>Which of the following is not a type of model evaluation commonly used in automated machine learning?<br>a) Cross-validation<br>b) Hyperparameter tuning<br>c) Out-of-sample testing<br>d) All of the above are types of model evaluation commonly used in automated machine learning<\/li>\n<\/ol>\n\n\n\n<h4 class=\"wp-block-heading\">Answer: b) Hyperparameter tuning<\/h4>\n\n\n\n<ol class=\"wp-block-list\" start=\"48\">\n<li>Which of the following best describes semi-supervised learning in automated machine learning?<br>a) The process of using labeled and unlabeled data to train models<br>b) The process of using feature engineering techniques to extract meaningful information from data<br>c) The process of selecting the best set of hyperparameters for a given model architecture<br>d) None of the above<\/li>\n<\/ol>\n\n\n\n<h4 class=\"wp-block-heading\">Answer: a) The process of using labeled and unlabeled data to train models<\/h4>\n\n\n\n<ol class=\"wp-block-list\" start=\"49\">\n<li>Which of the following is not a commonly used algorithm for clustering in automated machine learning?<br>a) Decision trees<br>b) K-means clustering<br>c) Hierarchical clustering<br>d) DBSCAN clustering<\/li>\n<\/ol>\n\n\n\n<h4 class=\"wp-block-heading\">Answer: a) Decision trees<\/h4>\n\n\n\n<ol class=\"wp-block-list\" start=\"50\">\n<li>Which of the following best describes semi-automated machine learning?<br>a) The process of using humans to label data before training models<br>b) The process of using humans to evaluate model performance<br>c) The process of using machine learning to automate parts of the model development process<br>d) None of the above<\/li>\n<\/ol>\n\n\n\n<h4 class=\"wp-block-heading\">Answer: c) The process of using machine learning to automate parts of the model development process<\/h4>\n","protected":false},"excerpt":{"rendered":"<p>Answer: d) All of the above are types of automated machine learning Answer: a) AutoML Answer: d) All of the [&hellip;]<\/p>\n","protected":false},"author":33,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_joinchat":[],"footnotes":""},"categories":[1],"tags":[],"class_list":["post-10254","post","type-post","status-publish","format-standard","hentry","category-uncategorized"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Top 50 Automated machine learning Interview Questions with Answers - scmGalaxy<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.scmgalaxy.com\/tutorials\/top-50-automated-machine-learning-interview-questions-with-answers\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Top 50 Automated 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