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ExamsMLS-C01Questions#171
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MLS-C01 · Question #171

MLS-C01 Question #171: Real Exam Question with Answer & Explanation

The correct answer is C: Train a built-in BlazingText model using Word2Vec mode in Amazon SageMaker.. BlazingText can also do supervised text classification.

Machine Learning Implementation and Operations

Question

A company sells thousands of products on a public website and wants to automatically identify products with potential durability problems. The company has 1.000 reviews with date, star rating, review text, review summary, and customer email fields, but many reviews are incomplete and have empty fields. Each review has already been labeled with the correct durability result. A machine learning specialist must train a model to identify reviews expressing concerns over product durability. The first model needs to be trained and ready to review in 2 days. What is the MOST direct approach to solve this problem within 2 days?

Options

  • ATrain a custom classifier by using Amazon Comprehend.
  • BBuild a recurrent neural network (RNN) in Amazon SageMaker by using Gluon and Apache
  • CTrain a built-in BlazingText model using Word2Vec mode in Amazon SageMaker.
  • DUse a built-in seq2seq model in Amazon SageMaker.

Explanation

BlazingText can also do supervised text classification.

Topics

#Text Classification#Amazon SageMaker#Built-in Algorithms#Rapid Prototyping

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