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Assessing the feasibility of a solution(s) often requires evaluating:
Assessing the feasibility of a solution(s) often requires evaluating:A . The color scheme of the user interfaceB . Market competition onlyC . Technical feasibility, cost, and time constraintsD . Preferred communication channels of the project managerView AnswerAnswer: C
Why is it important to create data splits that are reproducible?
Why is it important to create data splits that are reproducible?A . To ensure that each model run can be exactly replicated for verification and comparisonB . To guarantee that the model will perform with 100% accuracy on unseen dataC . To use more data for testing than for trainingD...
Which statement describes bagging?
Which statement describes bagging?A . Building models and using their output as features into a final model.B . Building models in parallel and aggregating their predictions to select the final prediction.C . Building models sequentially and evaluating the success of earlier models. It combines a set of weak learners into...
How can data splits be made reproducible in a machine learning experiment?
How can data splits be made reproducible in a machine learning experiment?A . By using a different random seed each time the data is splitB . By partitioning the data manuallyC . By using a consistent random seed when splitting the dataD . By splitting the data in a sequential...
In the context of avoiding underfitting and overfitting, what role does splitting the data into training, testing, and validation sets play?
In the context of avoiding underfitting and overfitting, what role does splitting the data into training, testing, and validation sets play?A . It ensures that the model is trained on the maximum amount of data possibleB . It allows for the model to be validated and tested on different subsets...
What is the key difference between batch processing and streaming in data processing?
What is the key difference between batch processing and streaming in data processing?A . Batch processing involves real-time data processing, whereas streaming does not process dataB . Streaming is suitable for large, historical datasets, whereas batch processing is for real-time data analysisC . Batch processing processes data in large blocks...
Which of the following is NOT a type of data source commonly integrated with Cloud Pak for Data?
Which of the following is NOT a type of data source commonly integrated with Cloud Pak for Data?A . Social media feedsB . Proprietary in-memory databasesC . Paper-based recordsD . Cloud storage servicesView AnswerAnswer: C
What is a key disadvantage of using Grid Search for hyperparameter tuning?
What is a key disadvantage of using Grid Search for hyperparameter tuning?A . It is too quick and may miss out on evaluating some hyperparametersB . It requires no prior knowledge of the hyperparametersC . It can be computationally expensive and time-consuming due to its exhaustive natureD . It is...
Which Python library is commonly used for data manipulation and analysis, and is available in Cloud Pak for Data?
Which Python library is commonly used for data manipulation and analysis, and is available in Cloud Pak for Data?A . TensorFlowB . PyTorchC . PandasD . KerasView AnswerAnswer: C
Given the Confusion matrix below, which is the formula for specificity?
Given the Confusion matrix below, which is the formula for specificity?A . TN/(TN + FP)B . TP/(FP + TP)C . TP/(FN + TP)D . (TP + TN)/(FN + FP + TN + TP)View AnswerAnswer: A
