Dell EMC Data Science and BigData Certification Questions and Answers

Question : What is the most common reason for a k-means clustering algorithm to returns a sub-optimal
clustering of its input?


1. Non-negative values for the distance function
2. Input data set is too large
3. Access Mostly Uused Products by 50000+ Subscribers
4. Poor selection of the initial controls

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Related Questions

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Question : What is the most common reason for a k-means clustering algorithm to returns a sub-optimal
clustering of its input?


1. Non-negative values for the distance function
2. Input data set is too large
3. Access Mostly Uused Products by 50000+ Subscribers
4. Poor selection of the initial controls


Question : Which of the following statement is true for the Apriori algorithm?

1. Using the confidence you can say that Rules are Trustworthy and not coincidental

2. Using the confidence you can say that Rules are Trustworthy but not sure whether Rules are coincidental or not.

3. Using the Lift and Leverage you can make sure that rules are identified and filter out the coincidental rules.

4. 1,2
5. 2,3



Question : In which of the following case you can use the Association Rules?
A. You can manage your inventory using this.
B. You can do cross merchandising like products with the high margin
C. You can logically group all the related products on the portal
D. You can physically keep all the related products together
E. You can run the promotions by combining the products


1. A,B,C
2. B,C,D
3. C,D,E
4. B,C,D,E
5. A,B,C,D,E


Question : You have transactions in your dataset. Your marketing team decide that minimum support level is .. How many minimum transactions should be there for an item or combination of item to become
frequent dataset?



1. 30

2. 3000

3. 300

4. 100

5. 3