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

Real exam environment

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PMI CPMAI Exam Syllabus Topics:

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

1. Senior management has tasked your group to analyze a data set to uncover insights into the data. What is the best approach to use to do this?

A) Data Mining or Data Analytics
B) Data Integration
C) Data preparation
D) Data Governance

2. A company needs to launch an AI application quickly to be the first to the market. The project team has decided to use pretrained models for their current AI project iteration. What is a key result of leveraging pretrained models?

A) The team can see a reduction in the overall project timeline.
B) The project can face unexpected scalability challenges.
C) The custom project development time can increase due to adjustments.
D) The team can encounter compatibility issues with existing systems.

3. A telecommunications company is implementing an AI solution to optimize network performance.
The project team needs to prepare the data for the AI system by addressing data format inconsistencies. Which method should the project manager use?

A) Creating a comprehensive data quality report
B) Determining the necessary data transformation steps
C) Implementing a data governance framework
D) Evaluating the potential impact of data breaches

4. Your team is working on a new facial recognition application. Since this technology has the potential to be mis-used you think it's important to set guidelines for the proper use of this application and you want to make sure the AI system is built for some positive purpose. What area of Trustworthy AI does this best fall under?

A) Explainable AI
B) Transparent AI
C) Governed AI
D) Responsible AI

5. Clean, well-labeled, datasets used for machine learning are partitioned into three subsets:
Training sets, Validation sets, and Test sets. As your team is doing this, what's the best way to split up this data?

A) Split by random subsampling
B) Split by alphabetical order
C) Use the same data for all sets
D) Split by patterned subsampling

Solutions: