Question 1

Which of the following is NOT a valid cross-validation method?

Options :

A : Bootstrapping

B : K-fold

C : Leave-one-out

D : Stratification

Answer: D

Question 2

Which of the following best describes distributed artificial intelligence?

Options :

A : It does not require hyperparemeter tuning because the distributed nature accounts for the bias.

B : It intelligently pre-distributes the weight of starting a neural network.

C : It relies on a distributed system that performs robust computations across a network of unreliable nodes.

D : It uses a centralized system to speak to decentralized nodes.

Answer: C

Question 3

Your dependent variable Y is a count, ranging from 0 to infinity. Because Y is approximately log-normally distributed, you decide to log-transform the data prior to performing a linear regression. What should you do before log-transforming Y?

Options :

A : Add 1 to all of the Y values.

B : Divide all the Y values by the standard deviation of Y.

C : Explore the data for outliers.

D : Subtract the mean of Y from all the Y values.

Answer: A

Question 4

A classifier has been implemented to predict whether or not someone has a specific type of disease. Considering that only 1% of the population in the dataset has this disease, which measures will work the BEST to evaluate this model?

Options :

A : Mean squared error

B : Precision and accuracy

C : Precision and recall

D : Recall and explained variance

Answer: C

Question 5

Which two techniques are used to build personas in the ML development lifecycle? (Select two.)

Options :

A : Population estimates

B : Population regression

C : Population resampling

D : Population triage

E : Population variance

Answer: A,D

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