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

1. Your team is working on an AI-enabled chatbot to be placed on the website. The goal of the chatbot is to be able to answer questions 24/7 to service clients around the globe. When evaluating your data you realize you don't have enough data to train the model.
What's the best course of action?

A) Ask your customer service team to generate additional data for you to use for the project
B) Research what Third-Party Models are available and purchase them to keep the project moving
C) Use the data that you have and keep the project moving
D) Do not move forward with the project

2. You just joined a new company and they want to start their first AI project. Senior management thinks the best approach is to just buy AI from a vendor. You know that AI is something you do, not something you buy.
What is your next best course of action to address this?

A) Share prior experiences with how your last team addressed this problem and their data quality issues
B) Share prior experiences with how your last team addressed this problem and how you solved it
C) Help senior management do research on AI vendors
D) Say nothing and let the team figure it out for themselves

3. Your organization has just rolled out a new image recognition system and is asking all employees to use it. It was trained using images from the ImageNet test set. After a few weeks, users are finding the results are not as expected and are asking for visibility into all the aspects of what went into building an AI system.
What area of Trustworthy AI is being addressed here?

A) Responsible AI
B) Transparent AI
C) Governed AI
D) AI Systemic Transparency
E) Explainable AI

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

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

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

Solutions: