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

1. Your team is working on an AI-enabled chatbot to be placed on the website. The goal of the chatbot is to be able to answer questions 24/7 to service clients around the globe. When evaluating your data you realize you don't have enough data to train the model.
What's the best course of action?

A) Do not move forward with the project
B) Ask your customer service team to generate additional data for you to use for the project
C) Research what Third-Party Models are available and purchase them to keep the project moving
D) Use the data that you have and keep the project moving

2. Your model has been working fine for the last three months, however recently you notice the model's performance has greatly declined. What seems to have been overlooked in your workflow pipeline?

A) Model Operationalization
B) Model retraining
C) Model Drift
D) Model reevaluation

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) Provide training for everyone to have all employees feel more comfortable using the technology even if they aren't using the technology yet.
C) Have the team that built the technology to relay to employees this tool is to augment, and not replace their jobs.
D) 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.

4. Your team has created a model that is going to be used for monitoring systems and it needs to provide analysis on a weekly basis. What's the most appropriate Model Operationalization approach?

A) Web service / Microservice
B) Batch prediction
C) Real-time prediction
D) Stream learning

5. Your model is going to be used for continuous monitoring of machinery, with need for continuous, instant model predictions. What's the most appropriate Model Operationalization approach?

A) Web service / Microservice
B) Batch prediction
C) Real-time prediction
D) Stream learning

Solutions: