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Exam AWS Certified AI Practitioner AIF-C01 topic 1 question 14 discussion

Exam question from Amazon's AWS Certified AI Practitioner AIF-C01
Question #: 14
Topic #: 1
[All AWS Certified AI Practitioner AIF-C01 Questions]

A company wants to develop an educational game where users answer questions such as the following: "A jar contains six red, four green, and three yellow marbles. What is the probability of choosing a green marble from the jar?"
Which solution meets these requirements with the LEAST operational overhead?

  • A. Use supervised learning to create a regression model that will predict probability.
  • B. Use reinforcement learning to train a model to return the probability.
  • C. Use code that will calculate probability by using simple rules and computations.
  • D. Use unsupervised learning to create a model that will estimate probability density.
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Suggested Answer: C 🗳️
by tccusa at Nov. 3, 2024, 11:34 p.m.
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afrazkhan
2 weeks, 4 days ago
Selected Answer: C
no NEED to do do anything fancy. its doable with simple code
upvoted 2 times
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Moon
1 month, 1 week ago
Selected Answer: C
C: Use code that will calculate probability by using simple rules and computations. Explanation: For a question like this, where the probability can be computed using basic arithmetic (e.g., number of favorable outcomes divided by total outcomes), implementing a straightforward function in code will meet the requirements with the least operational overhead. This avoids the complexity and resource demands of machine learning. For example: Total marbles = 6 + 4 + 3 = 13 6+4+3=13
upvoted 2 times
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jove
3 months ago
Selected Answer: C
Make it simple : Use code that will calculate probability by using simple rules and computations.
upvoted 4 times
...
tccusa
3 months ago
Selected Answer: C
Not necessary to train a model for this. Code for computation is sufficient.
upvoted 3 times
...
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