Amazon Exam MLS-C01 Topic 7 Question 62 Discussion

Actual exam question for Amazon's MLS-C01 exam

Question #: 62
Topic #: 7

A data scientist is working on a public sector project for an urban traffic system. While studying the traffic patterns, it is clear to the data scientist that the traffic behavior at each light is correlated, subject to a small stochastic error term. The data scientist must model the traffic behavior to analyze the traffic patterns and reduce congestion.

How will the data scientist MOST effectively model the problem?

AThe data scientist should obtain a correlated equilibrium policy by formulating this problem as a multi-agent reinforcement learning problem.

BThe data scientist should obtain the optimal equilibrium policy by formulating this problem as a single-agent reinforcement learning problem.

CRather than finding an equilibrium policy, the data scientist should obtain accurate predictors of traffic flow by using historical data through a supervised learning approach.

DRather than finding an equilibrium policy, the data scientist should obtain accurate predictors of traffic flow by using unlabeled simulated data representing the new traffic patterns in the city and applying an unsupervised learning approach.

Show Suggested Answer

Suggested Answer: D

by Carissa at Aug 24, 2022, 01:51 AM

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