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Question 185 - Professional Machine Learning Engineer discussion

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You work for an online retailer. Your company has a few thousand short lifecycle products. Your company has five years of sales data stored in BigQuery. You have been asked to build a model that will make monthly sales predictions for each product. You want to use a solution that can be implemented quickly with minimal effort. What should you do?

A.
Use Prophet on Vertex Al Training to build a custom model.
Answers
A.
Use Prophet on Vertex Al Training to build a custom model.
B.
Use Vertex Al Forecast to build a NN-based model.
Answers
B.
Use Vertex Al Forecast to build a NN-based model.
C.
Use BigQuery ML to build a statistical AR1MA_PLUS model.
Answers
C.
Use BigQuery ML to build a statistical AR1MA_PLUS model.
D.
Use TensorFlow on Vertex Al Training to build a custom model.
Answers
D.
Use TensorFlow on Vertex Al Training to build a custom model.
Suggested answer: C

Explanation:

According to the web search results, BigQuery ML1is a service that allows you to create and execute machine learning models in BigQuery using SQL queries.BigQuery ML supports various types of models, such as linear regression, logistic regression, k-means clustering, matrix factorization, deep neural networks, and time series forecasting1.ARIMA_PLUS2is a statistical model for time series forecasting that is built in to BigQuery ML. ARIMA_PLUS stands for AutoRegressive Integrated Moving Average with eXogenous regressors. ARIMA_PLUS models the relationship between a target variable and its past values, as well as other external factors that might influence the target variable.ARIMA_PLUS can handle multiple time series, seasonality, holidays, and missing values2. Therefore, option C is the best way to use a solution that can be implemented quickly with minimal effort for the given use case, as it allows you to use SQL queries to build and run a forecasting model in BigQuery without moving the data or writing custom code. The other options are not relevant or optimal for this scenario.Reference:

BigQuery ML

ARIMA_PLUS

Google Professional Machine Learning Certification Exam 2023

Latest Google Professional Machine Learning Engineer Actual Free Exam Questions

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asked 18/09/2024
Muneer Deers
43 questions
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