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

1. An IT services company is working on a project to develop an AI-based customer support system.
During data preparation, the project manager needs to clean and transform customer interaction logs.
What is an effective technique to handle any missing data?

A) Fill missing values with zeros without analysis
B) Duplicate existing data to fill in missing gaps
C) Ignore missing data if it seems insignificant
D) Remove records with missing values if minimal

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 have data governance in place
B) They did not practice model iteration and properly iterate on the model
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. Enhancing and cleaning data is an important action during which phase of CPMAI?

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

4. Your team has been asked to summarize and highlight patterns in historical purchasing data, identifying prior performance metrics and patterns. What type of analytics is most appropriate to apply for this need?

A) Diagnostic Analytics
B) Projective Analytics
C) Descriptive Analytics
D) Predictive Analytics

5. During which phase of an AI project should you consider Trustworthy AI considerations?

A) Phase VI: Model Operationalization
B) Phase I: Business Understanding
C) Phase II: Data Understanding
D) Every Phase of the AI project

Solutions: