PMLE Solving business challenges with ML Practice Question
This PMLE practice question tests your understanding of solving business challenges with ml. The scenario asks you to isolate a root cause — eliminate options that address a different problem before choosing. 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 logistics company uses a regression model to predict delivery times. The model currently uses features: distance (km), traffic index, weather condition, and time of day. The data scientist notices that the model's predictions are systematically too low for deliveries during peak traffic hours. Which action would best address this issue?
Clue words in this question
Noticing these words before you look at the options changes how you read each choice.
Clue: "best"
Why it matters: Signals that multiple options may be partially correct. Choose the option that most directly solves the exact problem described, not the one that sounds most complete.
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Add a cross-feature that multiplies distance by traffic index
The model's systematic underestimation during peak traffic hours indicates a missing interaction effect between distance and traffic. Adding a cross-feature (distance × traffic index) allows a linear model to capture the non-linear relationship where traffic disproportionately increases delivery time over longer distances. This directly addresses the bias without discarding useful data or unnecessarily complicating the model.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
✗
Switch to a deep neural network model
Why it's wrong here
A DNN might capture interactions but could overfit and is harder to interpret; a simpler feature interaction is more direct.
✗
Remove the traffic index feature as it is causing bias
Why it's wrong here
Removing a key feature would worsen the model.
✓
Add a cross-feature that multiplies distance by traffic index
Why this is correct
This interaction term allows the model to capture the combined effect.
Clue confirmation
The clue word "best" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
✗
Collect more training data during peak traffic hours
Why it's wrong here
More data helps but does not directly address the systematic bias due to missing interaction.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Google Cloud often tests the misconception that systematic bias is always due to insufficient data or the wrong model type, when in fact it is frequently caused by missing feature interactions that can be fixed with simple feature engineering.
Detailed technical explanation
How to think about this question
Under the hood, linear regression assumes additive feature effects, so the impact of traffic on delivery time is modeled as a constant shift regardless of distance. By adding a cross-feature (distance × traffic index), the model learns a slope adjustment for traffic, effectively allowing the effect of traffic to scale with distance. This is a classic example of feature engineering to capture multiplicative interactions, which is often more effective than switching to a more complex model when the underlying relationship is known.
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 healthcare organisation deploys an application with a public-facing web tier and a private database tier. The database subnet has no public IP and only accepts connections from the web tier's security group. Questions like this test whether you can design cloud network isolation using VNets/VPCs, subnets, and security group rules.
What to study next
Got this wrong? Here's your next step.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
Solving business challenges with ML — This question tests Solving business challenges with ML — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Add a cross-feature that multiplies distance by traffic index — The model's systematic underestimation during peak traffic hours indicates a missing interaction effect between distance and traffic. Adding a cross-feature (distance × traffic index) allows a linear model to capture the non-linear relationship where traffic disproportionately increases delivery time over longer distances. This directly addresses the bias without discarding useful data or unnecessarily complicating the model.
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.
Are there clue words in this question I should notice?
Yes — watch for: "best". Signals that multiple options may be partially correct. Choose the option that most directly solves the exact problem described, not the one that sounds most complete.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
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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.
Question Discussion
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