Question 1

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 2

An ML expert set to test AL based systems at a financial firm finds it hard to go through the piles of data and identify the specific characteristics or lines of comparison.

Which among the following is likely a challenge in dealing with test data being faced by the expert?

Options :

A : Errors in the test due the use of similar processes as data scientists

B : Legal restriction for data

C : Need to change input data over time

D : Big data

Answer: D

Question 3

Which ONE of the following is not typical content for the documentation of an AI component?

Options :

A :

License details

B : Hardware requirements

C : Architectural and design information

D : Primary and secondary use cases

Answer: C

Question 4

Which ONE of the following statements BEST describes the coverage measures for neural networks?

Options :

A : Coverage measures are only based on the coverage of the structure

B : Monitoring and improving coverage supports the design of new test cases, leading to increased confidence in the test object.

C : Coverage for neural networks is a structured and well researched area of concern with limited research and scope

D : It provides a wider scope and value using a code to run with each execution of the neural network

Answer: B

Question 5

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

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