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

1. You're running an AI project and want to speed up training of the model so that you can complete your current CPMAI iteration within the two week timeframe the team has set.
What's one approach to speed up model training?

A) Use or extend a pre-trained model
B) Use Brute force method
C) Use cloud-based technology
D) Use data from a previous project

2. A project manager meets with a customer for initial discussions about an upcoming project. At the end of the meeting, the customer asks the project manager for a rough estimate of the project duration. Based on her experience with three similar projects, the project manager provides an estimate of 8-10 months.
What's wrong with this timeframe?

A) It's not accounting for data preparation timelines
B) It fits into a waterfall timeframe, but not an agile project timeframe
C) It's underestimating the project timeline by 3 months
D) It's not accounting for potential project delays

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

4. Creating machine learning models can be complicated. Your team wants to use tools called Automated Machine Learning (AutoML) to simplify the process. You know of another team that has used AutoML tools and it's saved the team a lot of time. However, what's the one area you should not have the AutoML tool help with?

A) Automatic algorithm selection
B) Iterative modeling and evaluation
C) Automatic hyperparameter tuning
D) Automatic model assessment
E) Automatic model selection

5. You're working on a computer vision application and realize that you do not have enough real world data for the project. You need additional data created to support your training needs.
Specifically, the images you need are of people in different poses. What is the best way to obtain this data?

A) Make use of Synthetic Training Data
B) Make use of this data by having employees pose in the positions required
C) Make use of this data from surveillance footage
D) Make use of data from different departments

Solutions: