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PMI CPMAI Exam Syllabus Topics:

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

1. A healthcare project manager is working on implementing an AI-driven diagnostic tool. The project requires identifying key resources, including data scientists, server infrastructure, and external AI consultants. The project manager needs to ensure the allocated resources are optimized for the project's success. Which method will help to ensure the optimal allocation of resources?

A) Implementing a Monte Carlo simulation to predict resource allocation and project timelines
B) Conducting a SWOT (strengths, weaknesses, opportunities, threats) analysis to evaluate project resources
C) Applying the theory of constraints to identify and mitigate bottlenecks in resource allocation
D) Utilizing a resource-leveling technique to balance workloads across all team members

2. In a logistics project, a company is integrating an AI-driven supply chain optimization tool. The project manager needs to address the risk of external dependencies affecting project success.
Which method is a next step for the project manager?

A) Negotiating long-term contracts with reliable third-party vendors
B) Conducting regular audits of third-party vendor performance and compliance
C) Establishing contingency plans for critical external dependencies
D) Developing a comprehensive risk matrix to monitor external dependencies

3. Your team is working on an NLP model and has just operationalized the first model. Your team makes updates to the model, overwrites the original model, and puts this new model into operation. However, one of the teams using the model has seen a decrease in performance and is asking to use the original model. What critical error did your team make?

A) They did not have data governance in place
B) They did not practice model versioning and keep all versions of the model
C) They did not practice model iteration and properly iterate on the model
D) They did not have a model retraining pipeline that took into account models

4. You have been tasked at your organization to manage a large language model (LLM) project.
Identify what LLMs are useful for. (Choose all that apply.)

A) Code generation
B) Process automation
C) Classify and categorize content
D) Machine Translation
E) Improve search quality
F) Text summarization

5. You're working with a small inexperienced team on a new ML project. Choosing the best algorithm with the best settings given the training and test data is proving to be very hard for them. You lack the critical data science resources available on your team, and can't wait weeks until a data science resource becomes available to join your team. What's your best course of action?

A) Use an AutoML solution
B) Outsource the project ASAP
C) Put the project on hold until the resources needed become available
D) Find a citizen data scientist to help

Solutions: