MLS-C01 Question 239
Select 2You are tasked with selecting a machine learning model for a recommendation system on AWS. Your team has evaluated three different models: Model A, Model B, and Model C. The following details are provided:
- Model A: High accuracy (95%), training time of 10 hours, and requires 4x larger infrastructure costs.
- Model B: Moderate accuracy (88%), training time of 2 hours, and infrastructure costs are average.
- Model C: Slightly lower accuracy (85%), training time of 1 hour, and very low infrastructure costs.
Which model(s) would you recommend if the business prioritizes cost savings over accuracy but still requires acceptable performance for recommendations?
- A
Model A
- B
Model B
- C
Model C
- D
None of the models meet the requirements
Show answer and explanation
Correct answers: B, C
Explanation
Models B and C are the most suitable choices for the business's requirements. Model B provides a balance of moderate accuracy and reasonable costs, while Model C significantly reduces costs and training time, maintaining acceptable accuracy. Model A, despite its high accuracy, is not cost-effective and does not align with the business's priorities.
- A. Incorrect.
Model A is not a suitable option as it incurs significantly higher infrastructure costs, which is against the business priority of cost savings.
- B. Correct.
Model B is a viable option because it balances moderate accuracy (88%) with average training time and infrastructure costs, aligning with the business's cost-saving priorities.
- C. Correct.
Model C is also a good option as it offers the lowest infrastructure costs, very fast training time (1 hour), and slightly lower accuracy (85%), which is still deemed acceptable for recommendations.
- D. Incorrect.
This option is incorrect as Model B and Model C both meet the business requirements of cost savings and acceptable performance.