Question 1

An ML engineer, upon finding insufficient training data, is rotating labeled images to create additional training data.

Which of the following approaches to labeling is being applied in this above example?

Options :

A : Augmentation

B : AI-based labeling

C : Crowdsourcing

D : Outsourcing

Answer: A

Question 2

What is the correct definition for the term "clustering"?

Options :

A : A type of ML function that groups similar data points together

B : The ability of a system to work for sustained periods without human intervention

C : An ML model used for classification Synonym: classification model

D : A type of ML function that predicts the output class for a given input

Answer: A

Question 3

Which labelling form is done by an external specialist organization?

Options :

A : Crowdsourced

B : Outsourced

C : Internal

D : AI-Assisted

Answer: B

Question 4

Which of the following options is NOT a Machine learning technique?

Options :

A : Genetic algorithms

B : Bayesian models

C : Neural networks

D : Binary search

Answer: D

Question 5

Which of the following options would MOST likely be a reason for poor labeling of data?

Options :

A : Translation errors

B : Insufficient data

C : Algorithm chosen for the ML model

D : Synthetic data

Answer: A

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