Coursera Microsoft Azure Data Scientist Associate (DP-100) • STUDY MODE
PRACTICE QUIZ: KNOWLEDGE CHECK 1
QUESTION 1 OF 5
In cases where certain groups are overrepresented or data is skewed, which potential cause of disparity applies here?
A
Societal bias
B
Data imbalanceCorrect Answer
C
Indirect correlation
QUESTION 2 OF 5
When attempting to mitigate bias, if you want to differentiate features that are directly predictive from features that encapsulate complex or nuanced relationships, which strategy should you apply?
A
Extensive feature selection and engineering analysis.Correct Answer
B
Evaluate models for disparity based on significant features.
C
Balance training and validation data
QUESTION 3 OF 5
True or false?
A
TrueCorrect Answer
B
False.
QUESTION 4 OF 5
Which mitigation algorithm is a post-processing technique that applies a constraint to an existing classifier and transforms the prediction as appropriate?
A
Grid Search
B
Threshold OptimizerCorrect Answer
C
Exponentiated Gradient
QUESTION 5 OF 5
Which mitigation algorithms support binary classification and regression models? Select all that apply.
A
Threshold Optimizer
B
Grid SearchCorrect Answer
C
Exponentiated GradientCorrect Answer
Ready to test your recall?
In cases where certain groups are overrepresented or data is skewed, which potential cause of disparity applies here?