AIF-C01 Question 168
Select 3You are leading a machine learning project for a company that wants to deploy a recommendation engine. The company has explicitly stated that sustainability and environmental impact are key priorities. Which of the following practices should you consider to align the model selection process with these goals?
- A
Select a pre-trained model to reduce computational resources for training.
- B
Choose a deep learning model with a large number of parameters to maximize accuracy.
- C
Leverage serverless inference endpoints to optimize resource utilization during deployment.
- D
Perform hyperparameter tuning to maximize accuracy without considering energy consumption.
- E
Use tools like Amazon SageMaker's energy consumption tracking to assess and minimize the environmental impact.
Show answer and explanation
Correct answers: A, C, E
Explanation
Sustainability in AI involves selecting practices that reduce environmental impact without compromising the business objectives. Using pre-trained models, serverless endpoints, and energy consumption tracking tools are responsible approaches that align with sustainability goals. On the other hand, prioritizing large models or accuracy at the expense of energy efficiency goes against these principles.
- A. Correct.
Using a pre-trained model can significantly reduce the computational resources required for training, contributing to lower energy consumption and aligning with sustainability goals.
- B. Incorrect.
While a deep learning model with a large number of parameters may maximize accuracy, it often requires substantial computational resources, which increases energy consumption and carbon footprint. This is not aligned with the company's sustainability priorities.
- C. Correct.
Serverless inference endpoints can help optimize resource utilization by scaling automatically based on demand, reducing energy waste and unnecessary resource usage during deployment.
- D. Incorrect.
Maximizing accuracy without considering energy consumption contradicts the goal of sustainability. Responsible AI practices require balancing performance with environmental considerations.
- E. Correct.
Using tools like Amazon SageMaker's energy consumption tracking enables you to monitor and minimize the environmental impact of your machine learning workflows, aligning with the company's sustainability goals.