Databricks Exam Databricks-Certified-Professional-Data-Scientist Topic 4 Question 8 Discussion

Actual exam question for Databricks's Databricks-Certified-Professional-Data-Scientist exam

Question #: 8
Topic #: 4

[All Databricks-Certified-Professional-Data-Scientist Questions]

You are working with the Clustering solution of the customer datasets. There are almost 40 variables are available for each customer and almost 1.00,0000 customer's data is available. You want to reduce the number of variables for clustering, what would you do?

AYou will randomly reduce the number of variables

BYou will find the correlation among the variables and from their variables are not co-related will be discarded.

CYou will find the correlation among the variables and from the highly co-related variables, you will be considering only one or two variables from it.

DYou cannot discard any variable for creating clusters.

EYou can combine several variables in one variable
When you are applying clustering technique and you find that there are quite a huge number of variables are available. Then it is better the find the co-relation among the variables and consider only one or two variables from the highly co-related variables. Because highly co-related variable will have the same effect, while creating the cluster. We can use scatter plot matrix among the variables to find the co-relation.
You can also combine several variables into a single variable. For example if you have two values in the dataset like Asset and Debt than by combining these two values like Debt to Asset ratio and use it while creating the cluster.

Show Suggested Answer

Suggested Answer: C, E

by Diane at May 06, 2022, 11:39 PM

Limited Time Offer

25%

Off

Get Premium Databricks-Certified-Professional-Data-Scientist Questions as Interactive Web-Based Practice Test or PDF

Contribute your Thoughts:

Submit Cancel

Currently there are no comments in this discussion, be the first to comment!