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PMI CPMAI Exam Syllabus Topics:

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

1. A financial services firm is integrating AI to enhance fraud detection. To oversee data evaluation, the project manager needs to ensure the integrity and accuracy of input data, including transaction histories and customer profiles. Which method provides the results that address the requirements?

A) Utilizing a prompt pattern to guide the AI model's training process
B) Applying a visualization generator to create data flow diagrams
C) Using a fact checklist to systematically verify data sources
D) Implementing alternative approaches to process data differently

2. Leadership wants a new HR system built that will better handle potential candidate matching. The project manager assigned to this project believes that the project is well-suited for AI, however they are unsure which pattern of AI this would be. What should the project manager do?

A) Move forward without determining which patter of AI this falls under.
B) Conduct a straw poll with stakeholders to determine which pattern of AI this project falls under so they can best collect the data needed and skill sets for the team.
C) Pick an algorithm that seems best suited for the problem and then determine which pattern of AI it is based on the algorithm selected.
D) Determine which pattern of AI this project falls under so they can best collect the data needed and skill sets for the team.

3. In order for Supervised Learning approaches to work, they must be fed clean, well-labeled data that the system can use to learn from examples. But how do you get Labeled Data? As a team leader at a small startup, what approach would not be beneficial when trying to gather labeled data?

A) Get your Users to Do it
B) Hire a Contractor Workforce
C) Find a source of already labeled data
D) Contract with Third Party Data Labeling Firms

4. An aerospace company is developing an AI tool for anomaly detection in aircraft engines.
Identifying data sources and their locations is critical. Which method will help to ensure the project meets these objectives?

A) Implementing a continuous data integration process
B) Using AI to automate data tagging
C) Establishing a metadata management system
D) Adopting a data life cycle management tool

5. You have an Anomaly Detection project you're working on and you need a simple approach of clustering data into classified groups. Which algorithm is the best choice given this situation?

A) Hidden Markov Model
B) Decision Tree
C) K-Means Clustering
D) Neural Network

Solutions: