Question 1

“Training an ML model from input data using an unlabeled dataset"

Options :

A : True positive (TP)

B : Reinforcement learning

C : Unsupervised learning

D : Supervised learning

Answer: C

Question 2

What is the correction definition for the term “annotation”?

Options :

A : A type of bias caused by the ML algorithm

B : A type of specialized hardware designed to accelerate AI applications

C : The activity of identifying objects in images with bounding boxes to provide labelled data for classification.

D : A software licensing and delivery model in which AI and AI development services are centrally hosted.

Answer: C

Question 3

What is the correct definition for the term "clustering"?

Options :

A : A type of ML function that groups similar data points together

B : The ability of a system to work for sustained periods without human intervention

C : An ML model used for classification Synonym: classification model

D : A type of ML function that predicts the output class for a given input

Answer: A

Question 4

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

Question 5

Which of the following characteristics of AI-based systems make it more difficult to ensure they are safe?

Options :

A : Simplicity

B : Sustainability

C : Non-determinism

D : Robustness

Answer: C