Question 1

“A dataset used to evaluate a trained ML model with the purpose of tuning the model”

Options :

A : Validation dataset

B :

Evaluation dataset

C : Training dataset

D : Tuning dataset

Answer: A

Question 2

Which of the following statements is CORRECT with respect to visual testing?

Options :

A : Visual testing fails when the screen layout changes

B : Visual testing uses images to do pixel-by-pixel comparisons

C : Visual testing helps find overlapping user interface elements

D : Visual testing makes use of object IDs to determine changes

Answer: C

Question 3

Which of the following options would MOST likely be a reason for poor labeling of data?

Options :

A : Translation errors

B : Insufficient data

C : Algorithm chosen for the ML model

D : Synthetic data

Answer: A

Question 4

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

Question 5

Which ONE among the following statements is FALSE?

Options :

A : The AUC for the ROC curve may be used for supervised classification problems.

B : There are no difficulties with establishing the relative efficacy of each new technology

C : Mean Square Error (MSE) is the average of the squared differences between the actual value and the predicted value

D : The receiver operating characteristic (ROC) curve is a graphical plot that illustrates the ability of a binary classifier as its discrimination threshold is varied

Answer: B

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