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PMI CPMAI Exam Syllabus Topics:

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

2. Recently your company has been getting a large number of spam emails and some employees have been clicking on these suspicious emails causing a headache for IT. The head of IT wants to create a more robust spam filter and your team has been tasked with this project. What type of algorithm would you select for this problem?

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

3. A national health insurance company is embarking on a complex AI project to assist in coordinating patient care across its multiple hospital network. The AI system will analyze large amounts of patient data to coordinate care, improve patient outcomes, and optimize resource allocation. Numerous healthcare providers' data needs to be integrated. The data includes patient information which is private. The project needs to comply with data privacy regulations in various countries. Which critical step should be performed to optimize representative training data?

A) Increase the data set size without considering diversity.
B) Improve data understanding and preparation.
C) Implement comprehensive bias detection metrics.
D) Enhance the key performance indicator (KPI) metrics.

4. Creating machine learning models can be complicated. Your team wants to use tools called Automated Machine Learning (AutoML) to simplify the process. You know of another team that has used AutoML tools and it's saved the team a lot of time. However, what's the one area you should not have the AutoML tool help with?

A) Automatic model assessment
B) Automatic model selection
C) Iterative modeling and evaluation
D) Automatic hyperparameter tuning
E) Automatic algorithm selection

5. During which phase of an AI project should you consider Trustworthy AI considerations?

A) Phase I: Business Understanding
B) Phase VI: Model Operationalization
C) Every Phase of the AI project
D) Phase II: Data Understanding

Solutions: