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NEW QUESTION: 1
You need to implement a feature engineering strategy for the crowd sentiment local models.
What should you do?
A. Apply a Pearson correlation coefficient.
B. Apply a Spearman correlation coefficient.
C. Apply a linear discriminant analysis.
D. Apply an analysis of variance (ANOVA).
Answer: C
Explanation:
Explanation
The linear discriminant analysis method works only on continuous variables, not categorical or ordinal variables.
Linear discriminant analysis is similar to analysis of variance (ANOVA) in that it works by comparing the means of the variables.
Scenario:
Data scientists must build notebooks in a local environment using automatic feature engineering and model building in machine learning pipelines.
Experiments for local crowd sentiment models must combine local penalty detection data.
All shared features for local models are continuous variables.

NEW QUESTION: 2
A company that has a nationwide workforce may use which of the following methods for disbursing payroll to minimize the number of bank accounts?
I. Payable through draft
II. Multiple drawee checks
III.
ACH credit transfers
A. II only
B. I only
C. I and III only
D. II and III only
Answer: D

NEW QUESTION: 3
Which parameter would you tune to affect the selection of a static route as a backup, when a dynamic protocol is also being used?
A. link delay
B. link cost
C. hop count
D. administrative distance
E. link bandwidth
Answer: D