CAIC AI Strategy & Implementation 3

Question 1

Which AI governance framework element ensures that AI models perform consistently and fairly after deployment?

Accepted Answer

Ongoing monitoring and model performance auditing

Answer

Ongoing monitoring is essential to detect model drift, bias emergence, and performance degradation that can occur after initial deployment.

Question 2

A retail company plans to use AI for demand forecasting. The MOST important data consideration is:

Accepted Answer

Ensuring historical sales data is complete, clean, and covers sufficient time periods

Answer

Demand forecasting requires comprehensive historical data to identify seasonal patterns and trends, making data completeness and coverage critical.

Question 3

In the context of AI strategy, 'model drift' refers to:

Accepted Answer

A decline in model accuracy over time as real-world data patterns change

Answer

Model drift occurs when the statistical properties of the input data change over time, causing the model's predictions to become less accurate.

Question 4

Which approach best describes 'AI democratization' within an enterprise?

Accepted Answer

Making AI tools and capabilities accessible to non-technical business users through low-code/no-code platforms

Answer

AI democratization enables broader organizational participation by giving non-technical users tools to leverage AI without deep programming knowledge.

Question 5

When prioritizing AI use cases for implementation, organizations should give highest priority to cases that:

Accepted Answer

Have the highest ratio of business impact to implementation complexity and risk

Answer

Prioritization should favor use cases where business value is high and implementation risk is manageable, ensuring strong ROI and early wins.

(CAIC) Certified AI Consultant Practice Test

(CAIC) Certified AI Consultant Practice Test

CAIC AI Strategy & Implementation 3