AWS Certified Machine Learning – Specialty — Question 143

A retail company is selling products through a global online marketplace. The company wants to use machine learning (ML) to analyze customer feedback and identify specific areas for improvement. A developer has built a tool that collects customer reviews from the online marketplace and stores them in an Amazon S3 bucket. This process yields a dataset of 40 reviews. A data scientist building the ML models must identify additional sources of data to increase the size of the dataset.
Which data sources should the data scientist use to augment the dataset of reviews? (Choose three.)

Answer options

• A. Emails exchanged by customers and the company's customer service agents
• B. Social media posts containing the name of the company or its products
• C. A publicly available collection of news articles
• D. A publicly available collection of customer reviews
• E. Product sales revenue figures for the company
• F. Instruction manuals for the company's products

Correct answer: A, B, D

Explanation

The correct answers are A, B, and D because they all provide direct customer insights and feedback relevant to the company's products. Emails and social media posts can reveal customer sentiments and perceptions, while publicly available customer reviews can offer additional opinions on the products. Options C, E, and F do not focus on customer feedback and therefore would not effectively augment the dataset for improving customer experience.