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

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PMI CPMAI Exam Syllabus Topics:

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

1. The team is evaluating where the sources of the data for training are. What phase of CPMAI are they in?

A) Phase VI
B) Phase IV
C) Phase I
D) Phase II
E) Phase III
F) Phase V

2. A healthcare organization is developing an Al model to predict patient outcomes. The project manager needs to address issues of missing or incorrect data before training the model. What is an effective method to help ensure data quality?

A) Performing systematic data validation
B) Applying predictive data algorithms
C) Implementing an AI data needs assessment
D) Enhancing with data augmentation techniques

3. An aerospace company's project team is evaluating data quality before preparing data for AI models to predict maintenance needs. They are facing challenges with streaming data. If the project team were dealing with batch data, how would the result be different?

A) Batch data requires a higher need for data augmentation.
B) Batch data has greater inconsistency in the data.
C) Batch data has more complex data conflicts.
D) Batch data is easier to manage the data inflow.

4. Your team is planning an AI enabled chatbot project to help reduce call center load. They are currently determining if the project can get off the ground and working through the AI Go/No Go feasibility questions. What stage of CPMAI is the team currently working on?

A) Phase VI
B) Phase IV
C) Phase I
D) Phase II
E) Phase III
F) Phase V

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

Solutions: