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?

A. K-nearest neighbors (k-NN) with dimension reduction

B. Linear learner with early stopping

C. K-means

D. Principal component analysis (PCA) with the algorithm mode set to random








 

Suggested Answer: B

Community Answer: A




This question is in MLS-C01 AWS Certified Machine Learning – Specialty Exam
For getting AWS Certified Machine Learning – Specialty Certificate


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