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

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

Estimated Costs Memory: Less than 1 MB for the model. Computation: A few seconds to minutes on a standard laptop CPU. Data: A few hundred examples, which can be generated programmatically. Instead def calculate_probability(green_marbles, total_marbles): return green_marbles / total_marbles # Example usage green_marbles = 4 total_marbles = 6 + 4 + 3 # red + green + yellow probability = calculate_probability(green_marbles, total_marbles) print(f"Probability of choosing a green marble: {probability:.2f}") A program is effective and time saving

The problem described is a simple probability calculation based on basic combinatorics. The probability of choosing a green marble is simply the ratio of green marbles to total marbles, which can be computed directly without needing a complex machine learning model. Using a straightforward code implementation to calculate the probability based on the given numbers (6 red, 4 green, and 3 yellow marbles) will be the most efficient and have the least operational overhead. It’s a direct computation using basic arithmetic.

Make it simple : Use code that will calculate probability by using simple rules and computations.

Not necessary to train a model for this. Code for computation is sufficient.