PDF Version DemoPMI Cognitive Project Management in AI (PMI-CPMAI) Sample Questions:
1. 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) Neural Networks
C) Gaussian Mixture
D) Support Vector Machines (SVM)
2. 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?
A) All would work equally well
B) Supervised Learning
C) Reinforcement Learning
D) Unsupervised Learning
3. A healthcare project manager is evaluating whether to implement an AI-powered diagnostic tool.
The initial cost is US$500,000 with an expected return on investment (ROI) of 15% within the first year. The project needs to satisfy multiple stakeholders including hospital administrators and medical staff.
Which method will maximize a positive ROI for the AI implementation?
A) Ensuring all AI and non-AI components are integrated seamlessly
B) Seeking verbal commitments from interested parties at each project phase
C) Acquiring alternatives to the AI solution as a contingency plan
D) Monitoring AI model performance against key performance indicators
4. Your team is working on an AI-enabled chatbot to be placed on the website. The goal of the chatbot is to be able to answer questions 24/7 to service clients around the globe. When evaluating your data you realize you don't have enough data to train the model.
What's the best course of action?
A) Do not move forward with the project
B) Ask your customer service team to generate additional data for you to use for the project
C) Research what Third-Party Models are available and purchase them to keep the project moving
D) Use the data that you have and keep the project moving
5. During which phase of an AI project should you consider Trustworthy AI considerations?
A) Phase VI: Model Operationalization
B) Phase I: Business Understanding
C) Phase II: Data Understanding
D) Every Phase of the AI project
Solutions:
| Question # 1 Answer: A | Question # 2 Answer: C | Question # 3 Answer: D | Question # 4 Answer: C | Question # 5 Answer: D |
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