MLS-C01 · Question #252
MLS-C01 Question #252: Real Exam Question with Answer & Explanation
Sign in or unlock MLS-C01 to reveal the answer and full explanation for question #252. The question stem and answer options stay visible for context.
Question
A data scientist at a food production company wants to use an Amazon SageMaker built-in model to classify different vegetables. The current dataset has many features. The company wants to save on memory costs when the data scientist trains and deploys the model. The company also wants to be able to find similar data points for each test data point. Which algorithm will meet these requirements?
Options
- AK-nearest neighbors (k-NN) with dimension reduction
- BLinear learner with early stopping
- CK-means
- DPrincipal component analysis (PCA) with the algorithm mode set to random
Unlock MLS-C01 to see the answer
You've previewed enough free MLS-C01 questions. Unlock MLS-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.