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Question 1

Which of the following defects is caused by data which is wrong, incomplete, mislabeled, insufficient, obsolete, irrelevant, and data which is not pre-processed?

Options :

A : Biased model

B : Reduced accuracy

C : Compromised model

D : All of the above

Answer: B

Question 2

What is the correct definition of the term "interpretability"?

Options :

A :

The information provided by direct observation and measurement that is known to be real or true

B : An autonomous program which directs its activity towards achieving goals using observations and actions

C : A metric that measures the similarity of data points in different clusters

D : The level of understanding how the underlying AI technology works

Answer: D

Question 3

Which of the following defects is caused by data which is wrong, incomplete, mislabeled, insufficient, obsolete, irrelevant, and data which is not pre-processed?

Options :

A : Biased model

B : Reduced accuracy

C : Compromised model

D : All of the above

Answer: B

Question 4

Training an ML model from input data and its corresponding labels

Options :

A : Self-learning system

B : silhouette coefficient

C : Super AI

D : Supervised learning

Answer: D

Question 5

Which ONE of the following statements is NOT TRUE about the structure and functioning of the artificial neutral network?

Options :

A : They are capable of learning

B : The output at each node is called a transfer function

C : They consist of input and output layers, as well as a hidden layer consisting of units that transform the input into something that the output layer can use

D : The neurons are connected by links and they interact with each other

Answer: B