Question 1

Which of the following options is a correct approach for scheduling model retraining in a weather prediction application?

Options :

A : As new resources become available

B : Once a month

C : When the input format changes

D : When the input volume changes

Answer: C

Question 2

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 3

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 4

Which of the following is the definition of accuracy?

Options :

A : (True Positives + False Positives) / Total Predictions

B : (True Positives + True Negatives) / Total Predictions

C : True Positives / (True Positives + False Negatives)

D : True Positives / (True Positives + False Positives)

Answer: B

Question 5

Which of the following equations best represent an LI norm?

Options :

A : |x| + |y|

B : |x|+|y|^2

C : |x|-|y|

D : |x|^2+|y|^2

Answer: A