Online Access Free CT-AI Practice Test

Which ONE of the following types of coverage SHOULD be used if test cases need to cause each neuron to achieve both positive and negative activation values?
SELECT ONE OPTION

• A.Sign change coverage
• B.Threshold coverage
• C.Value coverage
• D.Neuron coverage

A tourist calls an airline to book a ticket and is connected with an automated system which is able to recognize speech, understand requests related to purchasing a ticket, and provide relevant travel options.
When the tourist asks about the expected weather at the destination or potential impacts on operations because of the tight labor market, the only response from the automated system is, "I don't understand your question." This AI system should be categorized as?

• A.Super AI
• B.General AI
• C.Narrow AI
• D.Conventional AI

Which of the following statements about the structure and function of neural networks is true?
Choose ONE option (1 out of 4)

• A.The input layer of a deep neural network must have at least as many neurons as its output layer
• B.A single-layer perceptron is NOT a neural network
• C.Training a neural network only changes the values of the weights at the connections between neurons
• D.The bias of a neuron is determined by the activation values of the neurons in the previous layer

Which ONE of the following options represents a technology MOST TYPICALLY used to implement Al?
SELECT ONE OPTION

• A.Search engines
• B.Procedural programming
• C.Case control structures
• D.Genetic algorithms

Which ONE of the following describes a situation of back-to-back testing the LEAST?
SELECT ONE OPTION

• A.Comparison of the results of a neural network ML model with a current decision tree ML model for the same data.
• B.Comparison of the results of a current neural network model ML model implemented in platform A (for example Pytorch) with a similar neural network model ML model implemented in platform B (for example Tensorflow), for the same data.
• C.Comparison of the results of a home-grown neural network model ML model with results in a neural network model implemented in a standard implementation (for example Pytorch) for same data
• D.Comparison of the results of the current neural network ML model on the current data set with a slightly modified data set.