Professional Machine Learning Engineer

Build, deploy, and monitor production ML and generative AI solutions on Gemini Enterprise Agent Platform, and track your readiness for the Professional Machine Learning Engineer exam.

Expert

Prepare and test your skills

Expert

Prepare and test your skills

Google Cloud feature

BigQuery ML ARIMA_PLUS

Topic in 1 exam domain

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Also called: ARIMA+, BQML ARIMA+

A statistical univariate forecasting model in BigQuery ML that decomposes time series into trends, seasons, and holidays.

Where this appears on the exam

1 subdomain in 1 of 6 domains

Domain 1
Architecting low-code AI solutions
~13% of exam
1. 1.1Developing ML models using BigQuery ML or AutoML on Gemini Enterprise Agent Platform
  - Building models in BigQuery ML or Agent Platform AutoML (e.g., classification, regression, forecasting, and clustering) based on the business problem

How learners score on this topic

Last updated October 25, 2026

Professional Machine Learning Engineer

Build, deploy, and monitor production ML and generative AI solutions on Gemini Enterprise Agent Platform, and track your readiness for the Professional Machine Learning Engineer exam.

Expert

Prepare and test your skills

Expert

Prepare and test your skills

Google Cloud feature

BigQuery ML ARIMA_PLUS

Topic in 1 exam domain

X LinkedIn Facebook Reddit

Also called: ARIMA+, BQML ARIMA+

A statistical univariate forecasting model in BigQuery ML that decomposes time series into trends, seasons, and holidays.

Where this appears on the exam

1 subdomain in 1 of 6 domains

Domain 1
Architecting low-code AI solutions
~13% of exam
1. 1.1Developing ML models using BigQuery ML or AutoML on Gemini Enterprise Agent Platform
  - Building models in BigQuery ML or Agent Platform AutoML (e.g., classification, regression, forecasting, and clustering) based on the business problem

How learners score on this topic

Last updated October 25, 2026