CAIC Technology Project Management 2

Question 1

Which AI project risk is best mitigated by establishing a model monitoring pipeline post-deployment?

Accepted Answer

Model performance drift over time

Answer

Model drift occurs when real-world data distributions shift, degrading accuracy, so continuous monitoring detects and triggers retraining.

Question 2

In an AI project, a 'proof of concept' (PoC) phase primarily serves to:

Accepted Answer

Validate technical feasibility before full investment

Answer

A PoC tests whether the AI approach can solve the problem at small scale before committing full resources.

Question 3

A project manager notices that AI model training jobs are consuming 3x the estimated GPU hours. The BEST immediate action is to:

Accepted Answer

Profile training bottlenecks and optimize hyperparameters or data pipelines

Answer

Profiling identifies the root cause of compute overrun so targeted optimizations can bring costs back in line.

Question 4

Which methodology is MOST commonly adapted for AI/ML projects due to its iterative experimentation cycles?

Accepted Answer

Agile/Scrum

Answer

Agile's short sprints align with the experimental, iterative nature of model development and evaluation.

Question 5

When managing a cross-functional AI team, which communication artifact best keeps data scientists, engineers, and business stakeholders aligned?

Accepted Answer

A model card documenting model capabilities and limitations

Answer

Model cards provide a standardized, accessible summary that bridges technical and business audiences.

(CAIC) Certified AI Consultant Practice Test