CPMAI Practice Test

CPMAI Practice Test practice questions, page 5 of 12, with answer review and explanations.

Question 21

Your team is looking for a short term ROI project and decides that an AI enabled chatbot will be the project to start with. During Phase I of CPMAI you go through the AI Go/No Go decision chart and realize that you have not answered yes to all the business feasibility questions. You and the team have not determined a clear problem definition. What’s the best course of action with how to proceed?

  1. Do not move forward and cancel the project all together.
  2. Cautiously move forward as planned. You do not need to answer yes to all the questions in the AI Go/No Go decision chart to start your project.
  3. Do not move forward until you can determine a clear problem definition.
  4. Move forward with the project as planned. The problem definition will become clear later on in the project.

Question 22

Your model is going to be used for continuous monitoring of machinery, with need for continuous, instant model predictions. What’s the most appropriate Model Operationalization approach?

  1. Real-time prediction
  2. Web service / Microservice
  3. Batch prediction
  4. Stream learning

Question 23

In what way would you be using Generative AI if you used the results of the Generative AI solution to improve and accelerate your job?

  1. Used for Hyperpersonalization
  2. As an autonomous system removing the human from the loop
  3. As an Augmented Intelligence system
  4. As a programmatic approach for automation

Question 24

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?

  1. Transparent AI
  2. Governed AI
  3. Responsible AI
  4. Explainable AI

Question 25

Recently your company has been getting a large number of spam emails and some employees have been clicking on these suspicious emails causing a headache for IT. The head of IT wants to create a more robust spam filter and your team has been tasked with this project. What type of algorithm would you select for this problem?

  1. Clustering
  2. Regression
  3. Binary (or Binomial) Classification
  4. Multiclass Classification