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AWS Certified Machine Learning Engineer - Associate

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AWS Certified Machine Learning Engineer - Associate Questions and Answers

Questions 1

Case study

An ML engineer is developing a fraud detection model on AWS. The training dataset includes transaction logs, customer profiles, and tables from an on-premises MySQL database. The transaction logs and customer profiles are stored in Amazon S3.

The dataset has a class imbalance that affects the learning of the model ' s algorithm. Additionally, many of the features have interdependencies. The algorithm is not capturing all the desired underlying patterns in the data.

The ML engineer needs to use an Amazon SageMaker built-in algorithm to train the model.

Which algorithm should the ML engineer use to meet this requirement?

Options:

A.  

LightGBM

B.  

Linear learner

C.  

К-means clustering

D.  

Neural Topic Model (NTM)

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