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Dell EMC Data Science Associate Certification Questions and Answers (Dumps and Practice Questions)



Question : Refer to the exhibit.
You are using K-means clustering to classify customer behavior for a large retailer. You need to
determine the optimum number of customer groups. You plot the within-sum-of-squares (wss)
data as shown in the exhibit. How many customer groups should you specify?
 : Refer to the exhibit.
1. 2
2. 3
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4. 8



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Explanation:





Question : Refer to the exhibit.
Click on the calculator icon in the upper left corner. You are given a list of pre-defined association
rules:
A) RENTER => BAD CREDIT
B) RENTER => GOOD CREDIT
C) HOME OWNER => BAD CREDIT
D) HOME OWNER => GOOD CREDIT
E) FREE HOUSING => BAD CREDIT
F) FREE HOUSING => GOOD CREDIT
For your next analysis, you must limit your dataset based on rules with confidence greater than
60%.
Which of the rules will be kept in the analysis?

 : Refer to the exhibit.
1. Rules B and D
2. Rules A and F
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4. Rules D and E



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Question : Refer to the exhibit.
You are using k-means clustering to discover groupings within a data set. You plot within-sum-ofsquares
(wss) of multiple cluster sizes. Based on the exhibit, how many clusters should you use in
your analysis?
 : Refer to the exhibit.
1. 2
2. 8
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4. 10



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Explanation:



Related Questions


Question : What is an example of a null hypothesis?

 : What is an example of a null hypothesis?
1. that a newly created model provides a prediction of a null sample mean
2. that a newly created model does not provide better predictions than the currently existing model
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4. that a newly created model provides a prediction that will be well fit to the null distribution


Question : You have fit a decision tree classifier using input variables. The resulting tree used of the
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?

 : You have fit a decision tree classifier using  input variables. The resulting tree used  of the
1. The tree did not split on all the input variables. You need a larger data set to get a more accurate model.
2. The AUC is high, and the small nodes are all very pure. This is an accurate model.
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4. 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.



Question : If your intention is to show trends over time, which chart type is the most appropriate way to depict the data?

 : If your intention is to show trends over time, which chart type is the most appropriate way to depict the data?
1. Line chart
2. Bar chart
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4. Histogram



Question : You are analyzing a time series and want to determine its stationarity. You also want to determine
the order of autoregressive models.
How are the autocorrelation functions used?

  : You are analyzing a time series and want to determine its stationarity. You also want to determine
1. PACF as an indication of stationarity, and ACF for the correlation between Xt and Xt-k not
explained by their mutual correlation with X1 through Xk-1.
2. ACF as an indication of stationarity, and PACF to determine the correlation of X1 through Xk-1.
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4. ACF as an indication of stationarity, and PACF for the correlation between Xt and Xt-k not
explained by their mutual correlation with X1 through Xk-1.



Question : Which word or phrase completes the statement? A spreadsheet is to a data island as a centralized
database for reporting is to a ________?

 : Which word or phrase completes the statement? A spreadsheet is to a data island as a centralized
1. Data Repository
2. Analytic Sandbox
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4. Data Warehouse


Question : Which R data structure allows elements to have different data types?

 :  Which R data structure allows elements to have different data types?
1. Matrix
2. Vector
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4. Array