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EMC Dell Data Science Foundations Sample Questions (Q199-Q204):

NEW QUESTION # 199
In which lifecycle stage are test and training data sets created?

  • A. Model building
  • B. Model planning
  • C. Data preparation
  • D. Discovery

Answer: A


NEW QUESTION # 200
The average purchase size from your online sales site is $17, 200. The customer experience team believes a certain adjustment of the website will increase sales.
A pilot study on a few hundred customers showed an increase in average purchase size of $1.47, with a significance level of p=0.1. The team runs a larger study, of a few thousand customers.
The second study shows an increased average purchase size of $0.74, with a significance level of 0.03.
What is your assessment of this study?

  • A. The difference in the change in purchase size between the two studies is troubling; The team should run another, larger study.
  • B. The p-value of the second study shows a statistically significant change in purchase size. The new website is an improvement.
  • C. The change in purchase size is not practically important, and the good p-value of the second study is probably a result of the large study size.
  • D. The change in purchase size is small, but may aggregate up to a large increase in profits over the entire customer base.

Answer: C


NEW QUESTION # 201
The graph represents the plot of WSS as a function of K for a K-means clustering analysis you performed.

Which point in the graph represents the most optimal value of K?

  • A. D
  • B. A
  • C. B
  • D. C

Answer: D


NEW QUESTION # 202
You are using the Apriori algorithm to determine the likelihood that a person who owns a home has a good credit score. You have determined that the confidence for the rules used in the algorithm is > 75%. You calculate lift = 1.011 for the rule, "People with good credit are homeowners".
What can you determine from the lift calculation?

  • A. Leverage of the rules is low
  • B. The rule is true
  • C. Support for the association is low
  • D. The rule is coincidental

Answer: D


NEW QUESTION # 203
You have fit a decision tree classifier using 12 input variables. The resulting tree used 7 of the 12 variables, and is 5 levels deep. Some of the nodes contain only 3 data points. The AUC of the model is 0.85.
What is your evaluation of this model?

  • A. The AUC is high, so the overall model is accurate. It is not well-calibrated, because the small nodes will give poor estimates of probability.
  • B. The tree is probably overfit. Try fitting shallower trees and using an ensemble method.
  • C. The tree did not split on all the input variables. You need a larger data set to get a more accurate model.
  • D. The AUC is high, and the small nodes are all very pure. This is an accurate model.

Answer: B


NEW QUESTION # 204
......

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