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

1. A telecommunications company is adopting an AI-based customer service chatbot. They are concerned about potential quality issues affecting customer satisfaction.
What should the project manager do?

A) Initiate a beta testing phase with a small group of customers
B) Conduct regular performance reviews and updates based on customer feedback
C) Develop a comprehensive quality assurance plan for the chatbot
D) Set up a dedicated team to monitor and address quality issues

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

3. Recently, you implemented an augmented intelligence application at work to help employees do their job better. However, employees have been resistant to this change and aren't using the application as expected.
What could have been done better to get the team to feel comfortable with this technology and use it? (Select all that apply.)

A) Have upper management relay to employees this tool is to augment, and not replace their jobs.
B) Ask end users what information and technology they need to help them do their job better and build the tool to help with these pain points.
C) Provide training for everyone to have all employees feel more comfortable using the technology even if they aren't using the technology yet.
D) Have the team that built the technology to relay to employees this tool is to augment, and not replace their jobs.

4. Recently your company has been getting a large number of spam emails and some employees have been clicking on these suspicious emails causing a headache for IT. The head of IT wants to create a more robust spam filter and your team has been tasked with this project. What type of algorithm would you select for this problem?

A) Multiclass Classification
B) Regression
C) Binary (or Binomial) Classification
D) Clustering

5. An inexperienced team is training a neural network model on a desktop computer and this is taking a significant amount of time. What would you recommend to them to speed up model training?

A) Break the dataset up into multiple smaller datasets and train the model on each of the smaller datasets over a desktop computer
B) Train the model over multiple desktop computers
C) Use a contractor to do the training portion
D) Train the model on GPUs

Solutions: