Question 1

Which ONE of the following statements BEST describes the coverage measures for neural networks?

Options :

A : Coverage measures are only based on the coverage of the structure

B : Monitoring and improving coverage supports the design of new test cases, leading to increased confidence in the test object.

C : Coverage for neural networks is a structured and well researched area of concern with limited research and scope

D : It provides a wider scope and value using a code to run with each execution of the neural network

Answer: B

Question 2

There are several reasons for wanting XAI(Explainable AI), including the following EXCEPT:

Options :

A : Meeting regulatory standards or policy requirements

B : Giving users confidence in the system

C : Boosting bias

D : Improving system design

Answer: C

Question 3

Which ONE of the following statements is NOT true about neural networks?

Options :

A : The activation value is calculated by running a formula (the activation function) that receives as input the activation values from all the neurons in the previous layer, the weights assigned to the connections and the bias of each neuron.

B : Running different activation functions can result in different activation values

C : Weights are gradually adjusted during neural network training

D : The activation values are centered around 0 with a range of -2 and +2

Answer: D

Question 4

Which of the following options is the MOST likely reason for this?

Options :

A : Wrong data

B : Missing data

C : Badly labelled data

D : Insufficient data

Answer: D

Question 5

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

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