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PMI CPMAI Exam Syllabus Topics:

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

1. While developing a demand forecasting model, the team inadvertently includes future sales data during training. The model shows unusually high accuracy during testing but performs poorly in real deployment. What issue has occurred in this scenario?

A) Concept drift
B) Sampling bias
C) Model instability
D) Data leakage

2. As the project manager, you are leading a brainstorming session with key stakeholders around a new Hyperpersonalization project. What's a key feature for this project that should happen to ensure success?

A) Develop a unique profile of each type of individual, and have that profile stay the same over the lifetime of that user
B) Develop a unique profile of each individual, and manually update that profile over time for a wide variety of purposes
C) Develop a unique profile of each individual, and have that profile learn and adapt over time for a wide variety of purposes
D) Develop a unique profile of each individual, and having that profile both learn and adapt over time as well as be programmed for a wide variety of purposes

3. 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? (Choose all that apply.)

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

4. During CPMAI Methodology Phase IV: Model Development, which of the following is not done during this phase?

A) Model training
B) Model Selection
C) Algorithm Selection
D) Model tuning

5. You are working on the data engineering pipeline for the AI project and you want to make sure to address the creation of pipelines to deal with model iteration. What part of the pipeline best deals with this step?

A) Retraining Pipelines
B) Data Acquisition / Ingest / Capture
C) Feature Engineering
D) ELT Pipeline

Solutions: