Amazon MLS-C01 Exam - 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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Kristofer

4 months ago

I’m surprised they didn’t mention hybrid models!

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Delsie

4 months ago

Unlabeled data for traffic patterns? That seems risky...

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Shenika

4 months ago

Historical data is key! Supervised learning makes sense here.

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Kristeen

4 months ago

I think a single-agent model could work too, though.

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Cherilyn

4 months ago

Multi-agent reinforcement learning sounds like a solid approach!

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Omega

5 months ago

Unsupervised learning sounds interesting, but I'm not convinced it would give us the accurate predictions we need for traffic flow.

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Olive

5 months ago

I feel like the stochastic error term complicates things, but maybe we should focus on equilibrium policies? I need to review that concept again.

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Veronica

5 months ago

I think using historical data for supervised learning could be effective, especially since we want accurate predictors of traffic flow.

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Argelia

5 months ago

I remember discussing multi-agent reinforcement learning in class, but I'm not sure if it's the best fit for this traffic problem.

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Vilma

5 months ago

This question seems to be testing my understanding of objectivity in internal auditing. I'll need to carefully consider each option and think about which one best promotes objectivity.

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Gwen

5 months ago

I'm pretty confident about this one. I think the key is to focus on the ways to make the JAR accessible to all the applications in the domain, so options like deploying it as an EJB or web service don't seem relevant.

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Jenifer

5 months ago

Hmm, this looks like a tricky one. I'll need to carefully review the options and think through what I know about pointcut expressions.

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Lavonna

5 months ago

I'm not sure about this one. Capturing traffic with Wireshark seems like it could work, but I'm not sure if that's the best approach. I'll have to think this through carefully.

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Ernie

5 months ago

I'm confident I know the answer to this. Secondary risk is the risk that arises from the implementation of a risk response. That's the one that fits the description in the question.

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Dahlia

5 months ago

I'm pretty sure "Improve operational effectiveness" was mentioned in the slides, but I can't remember if it was included as a specific outcome.

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Cecily

5 months ago

I'm a little confused by the wording of this question. Is it asking which phase vulnerability mapping happens after, or which phase it's part of? I want to make sure I understand the question correctly before answering.

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