Question 1

You're working on a project and are working with personally identifiable information (PII). What's the best approach to take when it comes to collecting and using this data?

Options :

A : Use noise reduction techniques to reduce all forms of data noise

B : Implement a new data privacy policy

C : Store the data in a data warehouse

D : If this data is not needed, use Data anonymization techniques to remove it before feeding to models

Answer: D

Question 2

Your team is working on a new facial recognition application. Since this technology has the potential to be mis-used you think it's important to set guidelines for the proper use of this application and you want to make sure the AI system is built for some positive purpose. What area of Trustworthy AI does this best fall under?

Options :

A : Transparent AI

B : Governed AI

C : Responsible AI

D : Explainable AI

Answer: C

Question 3

During CPMAI Phase II of your project, your team is going through their data collection needs. One team member wants to make use of pre-trained models while another member is adamantly against it. As the project lead, what should you do?

Options :

A : Evaluate your data and use only what you have and build all models in house.

B : Evaluate your data and see if using pre-trained models make sense. If so, have the team see what pre-trained models your company already owns and use those.

C : Evaluate your data and see if using pre-trained models make sense. If so, have the team do research to find the ones that best suit your project.

D : Have one team build all models in-house and the other team use pre-trained models and see which team's models perform better.

Answer: C

Question 4

You recently completed an image recognition project at your company that was focused on identifying different types of cars. You have now been assigned a new image recognition project that is focused on identifying different types of animals. You know you can shortcut model development by using a specific technique. What is this technique called?

Options :

A : Reinforcement Learning

B : Generative AI

C : Transfer Learning

D : Pre-Trained Models

Answer: C

Question 5

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?

Options :

A : Unsupervised Learning

B : Reinforcement Learning

C : Supervised Learning

D : All would work equally well

Answer: B