Question 1

In a certain coffee producing region of Colombia, there have been some severe weather storms, resulting in

massive losses in production. This caused a massive drop in stock price of coffee.

Which ONE of the following types of testing SHOULD be performed for a machine learning model for

stock-price prediction to detect influence of such phenomenon as above on price of coffee stock.

SELECT ONE OPTION

Options :

A : Testing for accuracy

B : Testing for bias

C : Testing for concept drift

D : Testing for security

Answer: C

Question 2

What is the correct definition for the term "fuzzy logic"?

Options :

A : The ability of a system to work in contexts outside its initial specification

B : A type of logic based on the concept of partial truth represented by certainty factors between 0 and 1

C : An individual measurable attribute of the input data used for training by an ML algorithm and for prediction by an ML model

D : An ML functional performance metric used to evaluate a classifier which provides a balance between recall and precision

Answer: B

Question 3

The choice of ML framework, algorithm, and hyperparameters is critical as a requisite to a better system. The choice of the parameters should be as close to optimal as possible.

Which test level for AI-based systems ensure the BEST ML framework and hyperparameters are integrated with other features and components?

Options :

A : Component integration testing

B : ML Model Testing

C : Component testing

D : System testing

Answer: B

Question 4

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 5

Which of the following options CORRECTLY states how an AI-based tool can perform optimization of regression test suites?

Options :

A : By analyzing information from previous testing activities

B : By using genetic algorithms to create new test cases

C : By analyzing false positive test results

D : By updating the expected results to counter concept drift

Answer: A

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