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

1. You are working on the data engineering pipeline for the AI project and you want to make sure to address the creation of pipelines to deal with model iteration. What part of the pipeline best deals with this step?

A) Data Acquisition / Ingest / Capture
B) Retraining Pipelines
C) ELT Pipeline
D) Feature Engineering

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

3. A team is retraining a model and creating a new version of that model. What's the most important thing for the team to have in place before doing this?

A) Data operations
B) Model operations
C) Model discovery
D) Model Governance

4. Your organization has just rolled out a new image recognition system and is asking all employees to use it. It was trained using images from the ImageNet test set. After a few weeks, users are finding the results are not as expected and are asking for visibility into all the aspects of what went into building an AI system.
What area of Trustworthy AI is being addressed here?

A) Responsible AI
B) Governed AI
C) Explainable AI
D) Transparent AI
E) AI Systemic Transparency

5. Your team is working on an image recognition system to help identify plants. They have collected a large amount of data but need to get this data labeled.
Which phase of CPMAI is this done?

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

Solutions: