Question 1

A local business has a mail pickup/delivery robot for their office. The robot currently uses a track to move between pickup/drop off locations. When it arrives at a destination, the robot stops to allow a human to remove or deposit mail. The office has decided to upgrade the robot to include AI capabilities that allow the robot to perform its duties without a track, without running into obstacles, and without human intervention. The test team is creating a list of new and previously established test objectives and acceptance criteria to be used in the testing of the robot upgrade. Which of the following test objectives will test an AI quality characteristic for this system?

Options :

A : The robot must evolve to optimize its routing

B : The robot must recharge for no more than six hours a day

C : The robot must record the time of each delivery which is compiled into a report

D : The robot must complete 99.99% of its deliveries each day

Answer: A

Question 2

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 3

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 4

It is possible to use an AI-assisted test automation tool to recognize objects through image processing, rather than using references to their location.

To which type of AI software engineering technology is this example MOST likely referring?

Options :

A : Probabilistic Software Engineering

B : Clustering

C : Search-based Software Engineering

D : Classification, Learning and Prediction

Answer: D

Question 5

Biases introduce the chance of getting unwanted output from ML systems. Testing for biases allows the identification of errors and causal defects that can further help review datasets and remove unwanted biases.

Which ONE among the following options is not a bias in AI based systems?

Options :

A : Algorithmic bias

B : Sample bias

C : Autonomous bias

D : Inappropriate bias

Answer: C