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

1. A healthcare AI model achieves high predictive accuracy but lacks transparency in decision- making. Regulators require clear explanations for each prediction to ensure patient safety and trust. What is the primary risk of deploying this model as-is?

A) Data duplication issues
B) Regulatory non-compliance
C) Reduced system speed
D) Increased operational costs

2. You are working for a large multinational organization and have been assigned to a new project.
For your new ML project you need to make sure you're managing data privacy and security as you're working with sensitive customer data.
What critical security issues do you need to make sure you address (Select all that apply.):

A) Compliance with Data Privacy Laws even if they are out of your physical jurisdiction
B) Securing model data and metadata
C) Securing data at rest
D) Securely storing all data collected for training purposes

3. You are establishing the data requirements for the project. Which of the following tasks is the least likely to impact data requirements?

A) The location/source of your data collection
B) The volume of the data you collect
C) The quality of the data you collect
D) The makeup of your data team

4. Which of the following best describes the technical definition of Machine Learning?

A) The application of pre-defined rules and algorithms to solve complex problems.
B) The use of computing technology to enable machines to gain cognitive intelligence.
C) A computer program is said to learn from experience E with respect to some class of tasks T and performance measure P if its performance at tasks in T, as measured by P, improves with experience E.
D) An approach to using increasing levels of intelligence to solve greater cognitive needs from unintelligent automation to autonomous business process.

5. You need to hire a data scientist to join your team. What skill sets should you be looking for when hiring and interviewing this person? (Select all that apply.)

A) Automation skills, especially around creating RPA bots
B) Critical thinking skills
C) Understanding of tools and technologies for manipulating, collecting, and preparing large data sets
D) Prompt engineering skills
E) Strong math skills, especially in calculus and statistics
F) Understanding of algorithms

Solutions: