PMI Certified in Artificial Intelligence (CPMAI) — Question 18

Your team is running a simulation-based optimization exercise to increase routing efficiency. Learning for this exercise is done through “trial and error”
Which type of machine learning approach is being leveraged for this exercise?

Answer options

• A. Unsupervised Learning
• B. Reinforcement Learning
• C. Supervised Learning
• D. All would work equally well

Correct answer: B

Explanation

Reinforcement Learning is the appropriate approach because it focuses on learning optimal actions through trial and error to maximize a reward, which aligns with the description given. Unsupervised Learning is not suitable as it deals with finding patterns without labeled outcomes, and Supervised Learning requires labeled data, which is not present in this scenario. Option D is incorrect since not all methods would yield the same effectiveness in this context.