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



Question : You are creating a regression model with the input income, education and current debt of a customer,
what could be the possible output from this model.
: You are creating a regression model with the input income, education and current debt of a customer,
1. Customer fit as a good
2. Customer fit as acceptable or average category
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4. 1 and 3 are correct
5. 2 and 3 are correct

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Regression is the process of using several inputs to produce one or more outputs. For example The input might be the income, education and current debt of a customer. The output might be the probability, expressed as a percent that the customer will default on a loan. Contrast this to classification where the output is not a number, but a class.






Question : In which of the scenario you can use the regression to predict the values
: In which of the scenario you can use the regression to predict the values
1. Samsung can use it for mobile sales forecast
2. Mobile companies can use it to forecast manufacturing defects
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4. Only 1 and 2
5. All 1 , 2 and 3


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Explanation: Regression is a tool which Companies may use this for things such as sales forecasts or forecasting manufacturing defects. Another creative example is predicting the probability of celebrity divorce.





Question : You are creating a Classification process where input is the income, education and
current debt of a customer, what could be the possible output of this process.
: You are creating a Classification process where input is the income, education and
1. Probability of the customer default on loan repayment
2. Percentage of the customer loan repayment capability
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4. The output might be a risk class, such as "good", "acceptable", "average", or "unacceptable".
5. All of the above

Correct Answer : Get Lastest Questions and Answer :

Classification is the process of using several inputs to produce one or more outputs. For example the input might be the income, education and current debt of a customer. The output might be a risk class, such as "good", "acceptable", "average", or "unacceptable". Contrast this to regression where the output is a number, not a class.





Related Questions

Question : Refer to the exhibit.
In the exhibit, the x-axis represents the derived probability of a borrower defaulting on a loan. Also
in the exhibit, the pink represents borrowers that are known to have not defaulted on their loan,
and the blue represents borrowers that are known to have defaulted on their loan.
Which analytical method could produce the probabilities needed to build this exhibit?

 : Refer to the exhibit.
1. Linear Regression
2. Logistic Regression
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4. Association Rules




Question : Refer to the exhibit.
You have created a density plot of purchase
amounts from a retail website as shown. What should
you do next?
 : Refer to the exhibit.
1. Recreate the plot using the barplot() function
2. Use the rug() function to add elements to the plot
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4. Reduce the sample size of the purchase amount data used to create the plot




Question : Refer to the exhibit.
You are building a decision tree. In this exhibit, four variables are listed with their respective values
of info-gain.
Based on this information, on which attribute would you expect the next split to be in the decision
tree?


 : Refer to the exhibit.
1. Credit Score
2. Age
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4. Gender




Question : Refer to the Exhibit.
In the Exhibit, the table shows the values for the
input Boolean attributes "A", "B", and "C". It also
shows the values for the output attribute "class".
Which decision tree is valid for the data?

 : Refer to the Exhibit.
1. Tree A
2. Tree B
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4. Tree D




Question : Refer to the Exhibit.
In the Exhibit, the table shows the values for the
input Boolean attributes "A", "B", and "C". It also
shows the values for the output attribute "class".
Which decision tree is valid for the data?
 : Refer to the Exhibit.
1. Tree A
2. Tree B
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4. Tree D




Question : Refer to the exhibit.
You are assigned to do an end of the year sales analysis of 1, 000 different products,
based on the transaction table. Which column in the end of year report requires the
use of a window function?
 : Refer to the exhibit.
1. Total Sales to Date
2. Daily Sales
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4. Maximum Price