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PMI CPMAI Exam Syllabus Topics:

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

1. A government project plans to implement an AI-based fraud detection system and the project team needs to define the success criteria. They identified potential improvements in detection accuracy, reduction in investigation time, and cost savings as key performance indicators (KPIs).
However, they are unsure how to effectively quantify these KPIs. Which two approaches should be used? (Choose two.)

A) Rely on only qualitative feedback from stakeholders.
B) Implement a continuous performance monitoring system.
C) Use random benchmarks without industry comparison.
D) Set fixed performance targets based on theoretical models.
E) Establish a baseline using historical data comparisons.

2. You are working with a dataset that has a high number of dimensions. You're running into issues because some dimensions don't have enough real examples to properly train the systems for predictable results. What's your best course of action?

A) Try to get additional data - at least 5 training examples for each dimension in the representation
B) Try to improve the quality of your data through more preparation
C) Try to get additional information from project lead to see how many examples per dimension are needed
D) Keep going as planned and the problem will eventually correct itself

3. Your team is working on a new project for finding the most optimal flow of warehouse robots on the warehouse floor. Which type of machine learning approach would be most appropriate to pick for this problem?

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

4. The team is working to build a data preparation pipeline for the conversational chatbot project.
Which phase of CPMAI is this done?

A) Phase V
B) Phase III
C) Phase IV
D) Phase VI
E) Phase I
F) Phase II

5. Clean, well-labeled, datasets used for machine learning are partitioned into three subsets:
Training sets, Validation sets, and Test sets. As your team is doing this, what's the best way to split up this data?

A) Split by alphabetical order
B) Split by random subsampling
C) Use the same data for all sets
D) Split by patterned subsampling

Solutions: