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Exam Professional Machine Learning Engineer All Questions

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Exam Professional Machine Learning Engineer topic 1 question 2 discussion

Actual exam question from Google's Professional Machine Learning Engineer
Question #: 2
Topic #: 1
[All Professional Machine Learning Engineer Questions]

Your organization wants to make its internal shuttle service route more efficient. The shuttles currently stop at all pick-up points across the city every 30 minutes between 7 am and 10 am. The development team has already built an application on Google Kubernetes Engine that requires users to confirm their presence and shuttle station one day in advance. What approach should you take?

  • A. 1. Build a tree-based regression model that predicts how many passengers will be picked up at each shuttle station. 2. Dispatch an appropriately sized shuttle and provide the map with the required stops based on the prediction.
  • B. 1. Build a tree-based classification model that predicts whether the shuttle should pick up passengers at each shuttle station. 2. Dispatch an available shuttle and provide the map with the required stops based on the prediction.
  • C. 1. Define the optimal route as the shortest route that passes by all shuttle stations with confirmed attendance at the given time under capacity constraints. 2. Dispatch an appropriately sized shuttle and indicate the required stops on the map.
  • D. 1. Build a reinforcement learning model with tree-based classification models that predict the presence of passengers at shuttle stops as agents and a reward function around a distance-based metric. 2. Dispatch an appropriately sized shuttle and provide the map with the required stops based on the simulated outcome.
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Suggested Answer: C 🗳️
by nissili at June 20, 2021, 5:17 p.m.

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nissili
Highly Voted 3 years, 10 months ago
C: for all confirmed.
upvoted 24 times
sensev
7 months ago
I agree with this, because it mentioned that they now "require users to confirm their presence". I think this is an example of when a classical routing algorithm is a better fit compare to ML-approach.
upvoted 15 times
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GalGilor
Most Recent 3 days, 8 hours ago
Selected Answer: C
C: People are required to let you know ahead if they show up. You don't need to model whether people are going to be present in a station. Also, logically, the cost of not picking up people is significantly higher than the route taking a little more time. So, A and B, though possible, would not be optimal given that you already know where the people are located.
upvoted 1 times
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JPA210
2 weeks, 3 days ago
Selected Answer: C
I agree with what is being said, that this use case is not for ML.
upvoted 1 times
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VishnuCh
1 month, 1 week ago
Selected Answer: C
This is a route optimization problem not an machine learning problem.
upvoted 1 times
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jimmygrand
2 months ago
Selected Answer: C
Answer is C. This is a case where machine learning would be terrible, as it would not be 100% accurate and some passengers would not get picked up. A simple algorith works better here, and the question confirms customers will be indicating when they are at the stop so no ML required.
upvoted 2 times
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baimus
7 months ago
Answer is C. This is a case where machine learning would be terrible, as it would not be 100% accurate and some passengers would not get picked up. A simple algorith works better here, and the question confirms customers will be indicating when they are at the stop so no ML required.
upvoted 3 times
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PhilipKoku
10 months, 2 weeks ago
Selected Answer: C
C is the option that covers the scenario.
upvoted 1 times
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fragkris
1 year, 4 months ago
Selected Answer: C
C - Since we have the attendance list in advance. Tree-based classification, regression and reinforced learning sounds useless in this case.
upvoted 3 times
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Sum_Sum
1 year, 5 months ago
Selected Answer: C
you do not need to predict how many people will be at each station as the requirement mentions they have to register a day in advance
upvoted 1 times
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M25
1 year, 11 months ago
Selected Answer: C
Went with C
upvoted 1 times
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n_shanthi
2 years ago
I think it should be C. I can easily eliminate D, this is not a case for reinforcement learning. Moreover, it seems like a Route Optimization rather than finding out best sized shuttle as mentioned in A or whether the shuttle should stop at a point as per point B.
upvoted 1 times
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asava
2 years, 1 month ago
Selected Answer: C
This is a route optimization problem
upvoted 1 times
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EFIGO
2 years, 4 months ago
Selected Answer: C
No need to predict the presences since they are already confirmed, best thing we can do is optimize the route
upvoted 3 times
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abhi0706
2 years, 5 months ago
C. route more efficient is an optimization model
upvoted 1 times
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GCP72
2 years, 8 months ago
Selected Answer: C
C is looks correct for me
upvoted 1 times
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Dr_Ethan
2 years, 8 months ago
Confirmed C
upvoted 1 times
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enghabeth
2 years, 8 months ago
Selected Answer: C
C. route more efficient is an optimization model
upvoted 2 times
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C (25%)
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