PROFESSIONAL-MACHINE-LEARNING-ENGINEER · Question #256
PROFESSIONAL-MACHINE-LEARNING-ENGINEER Question #256: Real Exam Question with Answer & Explanation
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Question
You are developing an ML model that predicts the cost of used automobiles based on data such as location, condition, model type, color, and engine/battery efficiency. The data is updated every night. Car dealerships will use the model to determine appropriate car prices. You created a Vertex AI pipeline that reads the data splits the data into training/evaluation/test sets performs feature engineering trains the model by using the training dataset and validates the model by using the evaluation dataset. You need to configure a retraining workflow that minimizes cost. What should you do?
Options
- ACompare the training and evaluation losses of the current run. If the losses are similar, deploy the
- BCompare the training and evaluation losses of the current run. If the losses are similar, deploy the
- CCompare the results to the evaluation results from a previous run. If the performance improved
- DCompare the results to the evaluation results from a previous run. If the performance improved
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