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PMI CPMAI Exam Syllabus Topics:

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

1. A project team is assessing a customer dataset and finds that 22 percent of records have a null value in the primary address field, and several records list contradictory account open dates.
Which two data quality dimensions are most directly affected?

A) Accuracy and uniqueness
B) Validity and accessibility
C) Timeliness and relevance
D) Completeness and consistency

2. An AI initiative has demonstrated a technically successful model, but the business unit cannot quantify what the improvement is worth.
What was most likely omitted during Business Understanding?

A) A model selection rationale
B) A data acquisition plan
C) Baseline performance measurement of the current process
D) A stakeholder register

3. A telecommunications company is preparing data for an AI tool. The project team needs to ensure the data is in the right shape and format for model training. In addition, they are working with a mix of structured and unstructured data. Which method will address the project team's objectives?

A) Separating structured and unstructured data into different databases
B) Converting unstructured data into structured formats
C) Employing a data transformation tool to standardize formats
D) Using a hybrid storage system for both data types

4. Before developing a complex model, a project team builds a simple rules-based version of the solution using existing business logic.
What is the primary purpose of this?

A) To establish a baseline that the AI model must outperform to justify its cost
B) To satisfy stakeholder requests for early delivery
C) To reduce the amount of labeled data required
D) To validate that the data pipeline can handle production volumes

5. A telecommunications company is considering an AI solution to improve customer service through automated chatbots. The project team is assessing the feasibility of the AI solution by examining its potential scalability and effectiveness.
What will present the highest risk to the company?

A) The team may lack experience implementing AI-based customer service solutions.
B) The solution might breach customer data privacy regulations, leading to legal consequences.
C) The solution may not handle the volume of customer queries effectively.
D) The chatbot may not integrate well with existing customer service platforms.

Solutions: