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Question 241 - Professional Machine Learning Engineer discussion

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You work at a gaming startup that has several terabytes of structured data in Cloud Storage. This data includes gameplay time data user metadata and game metadata. You want to build a model that recommends new games to users that requires the least amount of coding. What should you do?

A.
Load the data in BigQuery Use BigQuery ML to tram an Autoencoder model.
Answers
A.
Load the data in BigQuery Use BigQuery ML to tram an Autoencoder model.
B.
Load the data in BigQuery Use BigQuery ML to train a matrix factorization model.
Answers
B.
Load the data in BigQuery Use BigQuery ML to train a matrix factorization model.
C.
Read data to a Vertex Al Workbench notebook Use TensorFlow to train a two-tower model.
Answers
C.
Read data to a Vertex Al Workbench notebook Use TensorFlow to train a two-tower model.
D.
Read data to a Vertex AI Workbench notebook Use TensorFlow to train a matrix factorization model.
Answers
D.
Read data to a Vertex AI Workbench notebook Use TensorFlow to train a matrix factorization model.
Suggested answer: B

Explanation:

BigQuery is a serverless data warehouse that allows you to perform SQL queries on large-scale data. BigQuery ML is a feature of BigQuery that enables you to create and execute machine learning models using standard SQL queries. You can use BigQuery ML to train a matrix factorization model, which is a common technique for recommender systems. Matrix factorization models learn the latent factors that represent the preferences of users and the characteristics of items, and use them to predict the ratings or interactions between users and items. You can use theCREATE MODELstatement to create a matrix factorization model in BigQuery ML, and specify thematrix_factorizationoption as the model type. You can also use theML.RECOMMENDfunction to generate recommendations for new games based on the trained model. This solution requires the least amount of coding, as you only need to write SQL queries to train and use the model.Reference: The answer can be verified from official Google Cloud documentation and resources related to BigQuery and BigQuery ML.

BigQuery ML | Google Cloud

Using matrix factorization | BigQuery ML

ML.RECOMMEND function | BigQuery ML

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asked 18/09/2024
Genivaldo Costa
42 questions
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