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PMI CPMAI Exam Syllabus Topics:

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

1. A project manager at a consulting firm is tasked with facilitating the creation of an AI-driven predictive maintenance system for a manufacturing client. Identifying data sources and locations is crucial for the project's success. Which method will help to ensure the project manager meets the objectives?

A) Operationalizing a data lake for centralized storage
B) Creating a detailed data flow diagram
C) Using Internet of Things (IoT) sensors for real-time data collection
D) Establishing a comprehensive data governance framework

2. A project team plans to integrate a third-party foundation model into a customer-facing solution.
The vendor does not disclose training data sources or update schedules.
What risk should the project manager document as highest priority?

A) Integration effort may exceed estimates
B) Vendor pricing may increase over time
C) The model may require additional prompt engineering
D) Unmanaged changes to model behavior and unverifiable data provenance

3. A hospital wants to develop a medical records system with the primary goal of minimizing or eliminating paper records. They have identified where the cognitive AI solution will be applied. In addition, business objectives have been quantified and key performance indicators (KPI) have been determined. What else needs to be done to progress to the next Cognitive Project Management for AI (CPMAI) phase?

A) Create interdepartmental strategies
B) Explore external data sources
C) Determine the project ROI
D) Begin prototype development

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

5. A supervised learning project requires 50,000 labeled images. The subject matter is highly specialized, and the organization has three qualified domain experts available part time.
What is the most significant project risk the manager should plan for?

A) The images will require format standardization
B) Model training will require additional computing capacity
C) Labeling throughput will constrain the project schedule
D) Domain experts may disagree with the model's predictions

Solutions: