A Company Sells Thousands of Products on a Public Website

question 119

Multiple Choice

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?

• A) Train a custom classifier by using Amazon Comprehend.
• B) Build a recurrent neural network (RNN) in Amazon SageMaker by using Gluon and Apache MXNet.
• C) Train a built-in BlazingText model using Word2Vec mode in Amazon SageMaker.
• D) Use a built-in seq2seq model in Amazon SageMaker.

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Definitions:

Electronic Health Record (EHR)

A digital version of a patient’s paper chart, allowing easy access and sharing of medical information among healthcare providers.

Computer Password

A secret combination of characters used to protect access to digital information or systems.

Web Address

The unique identifier for a specific webpage or website on the Internet, also known as a URL.

DNP Degree

A Doctor of Nursing Practice degree, a terminal degree that focuses on clinical practice in nursing.