PMI CPMAI CPMAI

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PMI Cognitive Project Management in AI (PMI-CPMAI) Sample Questions:

1. You want to make sure that in your HR hiring system that applicants have the ability to contest the result. In what layer of the Trustworthy AI framework do we address this need?

A) Governed AI
B) Transparent AI
C) Responsible AI
D) Ethical AI
E) Explainable AI

2. Major factors for the project you are currently working on is around the training time, cost, and complexity of training your models. Which algorithm is not the best choice given these constraints?

A) Naive Bayes
B) Gaussian Mixture
C) Neural Networks
D) Support Vector Machines (SVM)

3. Upper management is looking to roll out a new product and wants to see if there are any patterns and insights that can be discovered from customer data. Your team has been tasked to discover these potential patterns and structures within this data.
Which type of machine learning approach would be most appropriate to pick for this problem?

A) Reinforcement Learning
B) All would work equally well
C) Unsupervised Learning
D) Supervised Learning

4. You have just joined a team and they are working on a new project. The project lead isn't sure what type of technology should be used on this project - AI or a traditional software development approach. What is the best way to determine if you have the criteria for a good AI/ML Project?

A) Evaluate whether the solution can be done with automation.
B) Determine whether the project has a cognitive technology component and meets a short-term need.
C) Determine the long-term need for the organization and build the project to that long-term goal.
D) Determine if the project fits within the scope, budget, and timeline set out.

5. Your team was given a large dataset and has been tasked with organizing the data by type to make better insights from the results. You are facing problems with the approach that the previous project lead used which was a regression algorithm.
What type of algorithm is the best approach for this project?

A) Binary (or Binomial) Classification
B) Regression
C) Clustering
D) Multiclass Classification

Solutions: