AmazonAmazon
MLA-C01 · Question #186
MLA-C01 Question #186: Real Exam Question with Answer & Explanation
Sign in or unlock MLA-C01 to reveal the answer and full explanation for question #186. The question stem and answer options stay visible for context.
ML Model Development
Question
An ML engineer is using Amazon SageMaker Canvas to build a custom ML model from an imported dataset. The ML engineer wants the model to make continuous numeric predictions based on 10 years of data. Which metric should the ML engineer use to evaluate the model's performance?
Options
- AAccuracy
- BInferenceLatency
- CArea Under the ROC Curve (AUC)
- DRoot mean square error (RMSE)
Unlock MLA-C01 to see the answer
You've previewed enough free MLA-C01 questions. Unlock MLA-C01 for full answers, explanations, the timed quiz mode, progress tracking, and the master PDF. Question stem and options stay visible so you can still see what's on the exam.
Topics
#Machine Learning Evaluation#Regression#RMSE#SageMaker Canvas