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Question 1

Which of the following defects is caused by data which is wrong, incomplete, mislabeled, insufficient, obsolete, irrelevant, and data which is not pre-processed?

Options :

A : Biased model

B : Reduced accuracy

C : Compromised model

D : All of the above

Answer: B

Question 2

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 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

“A dataset used to evaluate a trained ML model with the purpose of tuning the model”

Options :

A : Validation dataset

B :

Evaluation dataset

C : Training dataset

D : Tuning dataset

Answer: A

Question 5

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