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

1. The confusion matrix measures how the algorithm performs for a binary classification activity. As your team is running tests to evaluate model performance, they are seeing the model is incorrectly categorizing flowers as trees.
Your model is provided the following:

A) True Positive results
B) False Positive results
C) True Negative results
D) False Negative results

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

3. Your team is trying to determine which pattern best fits their AI problem. To do this the project team is running through the seven patterns of AI to figure out what pattern best applies to their problem.
Which of the following is the best approach?

A) When in doubt, go with the patterns and anomalies pattern as all AI projects are about pattern matching.
B) When in doubt, don't apply any pattern of AI.
C) Determine what you're trying to accomplish and see which pattern(s) of AI fit best.
D) Apply every pattern to the project.

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

5. Your organization wants to keep an eye on AI systems for Governance purposes. What are the most crucial things to consider? (Select all that apply.)

A) AI System testing requirements
B) Algorithm selection
C) Continuous System monitoring
D) Human chain of accountability
E) Key Performance Indicators (KPIs)
F) ROI determination
G) Vendor procurement methods
H) Data source identification