USAII
CAIC
Q1:
Which of the following is a step for the Value Engineering Framework?
○
A
Define value creation○
B
Realize value creation○
C
Scale value creation○
D
None of the above○
E
All of the above
USAII
CAIC
Q2:
Select the most CORRECT statement.
○
A
Dimensionality reduction is the process of reducing the number of random variables considered.○
B
Dimensionality reduction is the process of reducing the number of targetted variables considered.○
C
To reduce the dimensionality of huge datasets, a technique known as PCA is used.○
D
a and c only○
E
b and c only
USAII
CAIC
Q3:
A model is trained using historical customer records where each record already contains the correct outcome, such as ''churn'' or ''not churn.'' The model then predicts whether future customers are likely to churn. This is an example of ______.
○
A
supervised learning○
B
unsupervised learning○
C
reinforcement learning○
D
generative learning○
E
clustering
USAII
CAIC
Q4:
A retail company has a large dataset of customer purchases but no predefined labels. The AI system groups customers into segments based on similar buying behavior. This is an example of ______.
○
A
supervised learning○
B
unsupervised learning○
C
reinforcement learning○
D
transfer learning○
E
semi-supervised learning
USAII
CAIC
Q5:
Select the BEST choice for ML solutions architecture coverage.
○
A
Business understanding○
B
Identification and verification of ML techniques○
C
System architecture of the ML technology platform○
D
a and b only○
E
a, b and c only