Question 1

The activation value output for a neuron in a neural network is obtained by applying computation to the

neuron.

Which ONE of the following options BEST describes the inputs used to compute the activation value?

SELECT ONE OPTION

Options :

A :

Individual bias at the neuron level, activation values of neurons in the previous layer, and weights assigned to the connections between the neurons.

B :

Activation values of neurons in the previous layer, and weights assigned to the connections between the neurons.

C : Individual bias at the neuron level, and weights assigned to the connections between the neurons.

D : Individual bias at the neuron level, and activation values of neurons in the previous layer.

Answer: A

Question 2

“An ML model whose expected output for a given numeric input is a continuous variable"

Options :

A : Clustering Algorithm

B : Receiver Operating Characteristic (ROC) curve

C : Genetic Algorithm

D : Regression Model

Answer: D

Question 3

Which ONE of the most following statements is NOT true about system testing?

Options :

A : It may take the form of field trials in the expected operational environment or testing within a simulator

B : It is a test level in which many of the non-functional requirements for the system are tested

C :

The ML functional performance criteria are re-tested to ensure that the test results from the initial ML model testing are not adversely affected when the model is embedded within a complete system during the testing

D : It tests that the inputs from the data pipeline are received as expected by the model, and that any predictions produced by the model are exchanged with the relevant system components for effective use

Answer: D

Question 4

"Splendid Healthcare" has started developing a cancer detection system based on ML. The type of cancer they

plan on detecting has 2% prevalence rate in the population of a particular geography. It is required that the

model performs well for both normal and cancer patients.

Which ONE of the following combinations requires MAXIMIZATION?

SELECT ONE OPTION

Options :

A : Maximize precision and accuracy

B : Maximize accuracy and recall

C : Maximize recall and precision

D : Maximize specificity number of classes

Answer: C

Question 5

Which of the following options is MOST likely to be relevant when testing a system’s autonomy?

Options :

A : Testing how quickly the system can adapt

B : Testing the accuracy of system predictions

C : Testing over a sustained period of time

D : Static analysis of training data

Answer: C

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