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

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

2. An aerospace firm is developing an AI system for predictive maintenance of their aircraft. The project team needs to define the required data to train the model.
Which activity should the project manager implement?

A) Setting up real-time data streaming from aircraft sensors
B) Developing a comprehensive data collection strategy
C) Implementing data cleaning and preprocessing routines
D) Conducting a pilot test with a small dataset

3. The growth of Big Data has led to a desire to be able to do more to process and extract more value from Big Data. Simply storing data and providing analytics is no longer enough anymore to remain competitive.
To keep your organization competitive, you need to:

A) Make sure senior management has deep understanding of big data and how best to extract value from big data to unleash it for competitive advantage.
B) Make sure the technical team has deep understanding of big data and how best to extract value from big data to unleash it for competitive advantage.
C) Make sure all senior leadership is data literate, understands the Vs of big data, data's connections to your specific team, and how to extract value from big data to unleash it for competitive advantage.
D) Make sure everyone on the team has an understanding of data, its connections to the organization, and how to extract value from big data to unleash it for competitive advantage.

4. You are working on the data engineering pipeline for the AI project and you want to make sure to address the creation of pipelines to deal with model iteration. What part of the pipeline best deals with this step?

A) Data Acquisition / Ingest / Capture
B) ELT Pipeline
C) Feature Engineering
D) Retraining Pipelines

5. When looking to implement AI to help break the Digital Transformation logjam, it's important to:

A) Invest in technology solutions to solve the problem
B) Have the right culture for AI
C) Figure out which pattern(s) of AI are needed to incorporate intelligent systems into non-digital processes
D) Start with basic automation and introduce AI only as needed

Solutions: