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PMLE Practice Question: A retail company wants to forecast weekly sales…

A retail company wants to forecast weekly sales for each of its 500 stores. The data includes historical sales, promotions, holidays, and local weather. The company needs to update forecasts every week with new data. Which ML approach should they use?

⚠ Common exam trap

Google Cloud often tests the distinction between general regression (which assumes i.i.d. data) and time-series forecasting (which requires temporal dependencies and exogenous features), leading candidates to pick a simpler regression option like BigQuery ML or AutoML Tables instead of the specialized forecasting service.

Answer choices

Why each option matters

Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.

Correct answer & explanation

Use Vertex AI Forecasting to train a time-series model with holiday and weather features

Vertex AI Forecasting is purpose-built for time-series forecasting with support for exogenous features like holidays and weather, making it the ideal choice for weekly sales predictions across 500 stores. It handles multiple time series automatically and integrates with the required weekly retraining cycle, unlike generic regression models that lack temporal awareness.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

  • Use BigQuery ML to create a linear regression model on historical data

    Why it's wrong here

    Linear regression does not capture seasonality and temporal patterns effectively.

  • Use Vertex AI Forecasting to train a time-series model with holiday and weather features

    Why this is correct

    Vertex AI Forecasting is designed for time series with multiple features and supports automatic retraining.

  • Export data to AutoML Tables and train a regression model

    Why it's wrong here

    AutoML Tables is not optimized for time series; it treats each row independently.

  • Build a custom LSTM model using TensorFlow on Vertex AI Workbench

    Why it's wrong here

    While possible, it requires more effort and maintenance than a managed service.

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Written by Johnson Ajibi, MSc IT Security

Senior Network & Security Engineer · founder of Courseiva

This PMLE practice question is part of Courseiva's free Google Cloud certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the PMLE exam.