nerdexam
Amazon

MLS-C01 · Question #385

An ecommerce company has observed that customers who use the company's website rarely view items that the website recommends to customers. The company wants to recommend items to customers that…

The correct answer is C. Integrate Amazon Personalize into the company's website to provide customers with personalized. Amazon Personalize is a fully managed service that makes it easy to integrate personalized recommendations into applications, like ecommerce websites. It uses machine learning to generate personalized recommendations quickly and efficiently, without requiring the company to…

Machine Learning Implementation and Operations

Question

An ecommerce company has observed that customers who use the company's website rarely view items that the website recommends to customers. The company wants to recommend items to customers that customers are more likely to want to purchase. Which solution will meet this requirement in the SHORTEST amount of time?

Options

  • AHost the company's website on Amazon EC2 Accelerated Computing instances to increase the
  • BHost the company's website on Amazon EC2 GPU-based instances to increase the speed of the
  • CIntegrate Amazon Personalize into the company's website to provide customers with personalized
  • DUse Amazon SageMaker to train a Neural Collaborative Filtering (NCF) model to make product

How the community answered

(66 responses)
  • A
    5% (3)
  • B
    17% (11)
  • C
    70% (46)
  • D
    9% (6)

Explanation

Amazon Personalize is a fully managed service that makes it easy to integrate personalized recommendations into applications, like ecommerce websites. It uses machine learning to generate personalized recommendations quickly and efficiently, without requiring the company to build, train, or manage models themselves. Amazon Personalize can be integrated into the website in a relatively short amount of time, making it the fastest solution for providing relevant product recommendations.

Topics

#Amazon Personalize#Recommendation Systems#Managed ML Services#ML Implementation

Community Discussion

No community discussion yet for this question.

Full MLS-C01 Practice