CPMAI Practice Test practice questions, page 7 of 12, with answer review and explanations.
Question 31
You’re being told by upper management that you need to manage a new AI project. You need to determine the AI project fit to make sure you’re actually solving a real business problem. During phase I: Business Understanding, you should consider at least one of the following (Choose all that apply):
Explores a proof of concept for an AI project
Enhance revenue
Solves a previously unsolved problem
Improve company competitiveness in the market
Has the “cool” factor
Solves an already solved problem but does it better and cheaper
Question 32
You’re working on a computer vision application and realize that you do not have enough real world data for the project. You need additional data created to support your training needs. Specifically, the images you need are of people in different poses. What is the best way to obtain this data?
Make use of this data by having employees pose in the positions required
Make use of data from different departments
Make use of this data from surveillance footage
Make use of Synthetic Training Data
Question 33
You have been brought on to manage a recognition project, specifically an image recognition project, for an Autonomous Retail application. You know that you need to make sure you have sufficient data for this project. What’s the best way to approach this?
Take all the data your company has as well as purchase additional external data
Take inventory of all data your company has and use the relevant data
Take all the existing data you have and apply it to this project
Take inventory of all data your team has and use the relevant data
Question 34
You’re creating an AI enabled chatbot that is going to access user data. What areas related to data governance do you need to make sure you’re addressing? (Choose all that apply.)
Data Sharing challenges
Privacy Risks
Data Quantity Issues
Change Management Issues
Security Risks
Data Quality Issues
Business Risks
Question 35
Use cognitive technologies/AI when you can’t code the rules or you can’t scale easily with people or automation. As a good rule of thumb when deciding if AI is right for the project you should:
Decide if it’s a statistics pattern. If it’s statistical then go with the AI project.
Decide if it’s probabilistic or deterministic patterns. If it’s deterministic then go with the AI project.
See if simple rules work. If yes, then pick the right AI solution to solve the problem.
Decide if it’s probabilistic or deterministic patterns. If it’s probabilistic then go with the AI project.