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

What is the correction definition for the term "data poisoning"?

Options :

A : The activity of adding meaningful tags to objects in raw data to support classification in ML

B : The implementation of data preparation activities to provide input data to support training by an ML algorithm or prediction by an ML model

C :

The deliberate and malicious manipulation of training or input data to an ML model

D :

A set of one or more measurements comprising a single observation used as part of a dataset

Answer: C

Question 3

“The activity of building an ML model using a process of trial and reward to achieve an objective ” :

Options :

A : Random Forest

B : Supervised Learning

C : Unsupervised Learning

D : Reinforcement Learning

Answer: D

Question 4

“A set of rules that determine which actions should occur when certain conditions are satisfied”

Options :

A : Procedural reasoning

B : Recall

C : Reasoning technique

D : Rule Engine

Answer: D

Question 5

DataSure is a start-up with a product that promises to improve the quality of ML models. DataSure claim that this improvement comes from checking if the data has been labeled correctly.

Which of the following defects is MOST likely to have been prevented by using this product?

Options :

A : The model will have poor accuracy

B : The model will not fulfill its intended function

C : The model will have security vulnerabilities

D : The model will produce biased outputs

Answer: A

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