Question 449 of 1,000
PMLE Architecting Low-Code ML Solutions Practice Question
This PMLE practice question tests your understanding of architecting low-code ml solutions. Read the scenario carefully and evaluate each option against the stated constraints before committing to an answer. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.
A data scientist needs to forecast daily sales for the next 30 days using historical sales data stored in BigQuery. They want to use BigQuery ML. Which model type should they choose?
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
✓
ARIMA_PLUS
ARIMA_PLUS is the correct choice because it is specifically designed for time-series forecasting, such as predicting daily sales over a future horizon. BigQuery ML's ARIMA_PLUS model automatically handles seasonality, trend, and holiday effects, making it ideal for 30-day sales forecasts from historical data.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often confuse regression models (like LINEAR_REG or BOOSTED_TREE_REGRESSOR) with time-series forecasting, not realizing that standard regression assumes independent observations and cannot inherently model temporal dependencies or extrapolate beyond the training period.
Detailed technical explanation
How to think about this question
ARIMA_PLUS in BigQuery ML extends the classic ARIMA model by automatically detecting and modeling multiple seasonalities (e.g., weekly, yearly), holiday effects, and trend changes using a time-series decomposition approach. It also provides confidence intervals for forecasts and can handle missing data through interpolation, which is critical for real-world sales data that may have gaps due to holidays or outages.
KKey Concepts to Remember
- Read the scenario before looking for a memorised answer.
- Find the constraint that changes the correct option.
- Eliminate answers that are true in general but not in this case.
TExam Day Tips
- Watch for words such as best, first, most likely and least administrative effort.
- Review why wrong options are wrong, not only why the correct option is correct.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
How this comes up in practice
A company's IT admin needs to give a contractor read-only access to production logs without sharing account credentials. Using role-based access control (RBAC) and temporary scoped permissions — not a permanent shared password — is the correct pattern. Questions like this test whether you can apply least-privilege access across cloud identity services.
What to study next
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FAQ
Questions learners often ask
What does this PMLE question test?
Architecting Low-Code ML Solutions — This question tests Architecting Low-Code ML Solutions — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: ARIMA_PLUS — ARIMA_PLUS is the correct choice because it is specifically designed for time-series forecasting, such as predicting daily sales over a future horizon. BigQuery ML's ARIMA_PLUS model automatically handles seasonality, trend, and holiday effects, making it ideal for 30-day sales forecasts from historical data.
What should I do if I get this PMLE question wrong?
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
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Last reviewed: Jul 4, 2026
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.
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