PMI Cognitive Project Management in AI CPMAI v7 - Training & Certification CPMAI_v7 Question # 21 Topic 3 Discussion
CPMAI_v7 Exam Topic 3 Question 21 Discussion:
Question #: 21
Topic #: 3
You are working with a dataset that has a high number of dimensions. You’re running into issues because some dimensions don’t have enough real examples to properly train the systems for predictable results. What’s your best course of action?
A.
Keep going as planned and the problem will eventually correct itself
B.
Try to get additional data – at least 5 training examples for each dimension in the representation
C.
Try to get additional information from project lead to see how many examples per dimension are needed
D.
Try to improve the quality of your data through more preparation
CPMAI’s Phase II: Data Understanding includes verifying that you have sufficient data volume for each feature to support reliable model training. The learning curve concept underscores that model performance improves with additional training examples. When dimensions are under-represented, the team must source or generate more data—aiming for a minimum number of examples per feature—to avoid underfitting and ensure stable predictions.
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