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Which metric is commonly used to evaluate the performance of a regression model?
Which metric is commonly used to evaluate the performance of a regression model?A . F1 ScoreB . Mean Absolute Error (MAE)C . PrecisionD . Confusion MatrixView AnswerAnswer: B
Which data source allows for real-time data streaming and processing?
Which data source allows for real-time data streaming and processing?A . Data warehousesB . Cloud storageC . IoT devicesD . Static data filesView AnswerAnswer: C
When deploying a machine learning model, what is "model drift"?
When deploying a machine learning model, what is "model drift"?A . A sudden increase in the model's accuracyB . A change in the distribution of the input data or target variable over timeC . The process of feature extractionD . A measure of feature importanceView AnswerAnswer: B
What is the primary purpose of model assessment in the context of data science and machine learning?
What is the primary purpose of model assessment in the context of data science and machine learning?A . Data preprocessingB . Model buildingC . Evaluating and selecting the best-performing modelD . Data visualizationView AnswerAnswer: C
Which statement is true about the tree map for a decision tree with a binary target?
Refer to the treemap shown in the exhibit below: Which statement is true about the tree map for a decision tree with a binary target?A . The top bar represents the node with the highest probability of event.B . The darker bars represent nodes with a lower probability of event.C...
What is the purpose of a "canary release" in the context of model deployment?
What is the purpose of a "canary release" in the context of model deployment?A . To assess data qualityB . To deploy a new model version to a small subset of users or systems for testingC . To create synthetic dataD . To evaluate model accuracyView AnswerAnswer: B
Which data source typically provides access to real-time financial market data?
Which data source typically provides access to real-time financial market data?A . Social media platformsB . Weather stationsC . Stock market APIsD . Online news websitesView AnswerAnswer: C
What does the term "bias" in machine learning refer to?
What does the term "bias" in machine learning refer to?A . A model's inability to generalize to new dataB . Systematic errors that cause a model to consistently underpredict or overpredictC . The simplicity of a modelD . The overall accuracy of a modelView AnswerAnswer: B
What is a data lake?
What is a data lake?A . A data storage solution designed for high-speed data retrievalB . A centralized repository for storing all structured and unstructured data at any scaleC . A specialized database for time-series dataD . A backup system for relational databasesView AnswerAnswer: B
What is the main advantage of ensemble learning methods, such as Random Forest, in a machine learning pipeline?
What is the main advantage of ensemble learning methods, such as Random Forest, in a machine learning pipeline?A . They are simple and easy to interpret.B . They are not suitable for large datasets.C . They combine multiple models to improve predictive performance.D . They require minimal data preprocessing.View AnswerAnswer:...
