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Question: What is a common practice to ensure the reliability of a deployed model?Options: Regularly..
Question: What is the role of a model serving framework in deployment?Options: To train the modelTo ..
Question: Which deployment strategy involves gradually rolling out a new model to a subset of users?..
Question: What is the role of a load balancer in model deployment?Options: To train multiple models ..
Question: Which of the following is NOT a common method for monitoring deployed models?Options: Perf..
Question: What does \'model drift\' refer to in the context of deployed models?Options: The process ..
Question: What is a microservice architecture in the context of model deployment?Options: A single m..
Question: What is a common evaluation metric for assessing the performance of a deployed classificat..
Question: What is the role of version control in model deployment?Options: To track changes in model..
Question: What is a common strategy for handling model updates in production?Options: Immediate repl..
Question: What is the purpose of a model serving framework?Options: To train models fasterTo manage ..
Question: Why is version control important in model deployment?Options: To track changes in model ar..
Question: What does \'model drift\' refer to?Options: The process of updating a model with new dataA..
Question: How can you improve a linear regression model\'s performance?Options: By adding more indep..
Question: Which of the following techniques can be used to assess the linearity assumption in linear..
Question: In the context of linear regression, what does \'residual\' refer to?Options: The predicte..
Question: What is the effect of adding more predictors to a linear regression model?Options: Always ..
Question: In the context of linear regression, what does the term \'homoscedasticity\' refer to?Opti..
Question: What does R-squared measure in a linear regression model?Options: The strength of the rela..
Question: Which of the following is a real-world application of linear regression?Options: Image cla..
Question: In a linear regression case study, what does multicollinearity refer to?Options: High corr..
Question: Which of the following is a common assumption made in linear regression?Options: The depen..
Question: In a case study, if a linear regression model has a high R-squared value but poor predicti..
Question: What is the effect of multicollinearity in a linear regression model?Options: It improves ..
Question: Which of the following is NOT a limitation of linear regression?Options: Assumes a linear ..
Question: Which of the following is a common assumption made by linear regression models?Options: Th..
Question: In the context of linear regression, what does \'heteroscedasticity\' refer to?Options: Co..
Question: Which technique can be used to handle multicollinearity in linear regression?Options: Incr..
Question: Which of the following assumptions is NOT required for linear regression?Options: Linearit..
Question: Which of the following is NOT a benefit of effective feature engineering?Options: Improved..
