DEA-7TT2 無料問題集「EMC Associate - Data Science and Big Data Analytics v2」
Your company has 3 different sales teams. Each team's sales manager has developed incentive offers to increase the size of each sales transaction.
Any sales manager whose incentive program can be shown to increase the size of the average sales transaction will receive a bonus. Data are available for the number and average sale amount for transactions offering one of the incentives as well as transactions offering no incentive.
The VP of Sales has asked you to determine analytically if any of the incentive programs has resulted in a demonstrable increase in the average sale amount.
Which analytical technique would be appropriate in this situation?
Response:
Any sales manager whose incentive program can be shown to increase the size of the average sales transaction will receive a bonus. Data are available for the number and average sale amount for transactions offering one of the incentives as well as transactions offering no incentive.
The VP of Sales has asked you to determine analytically if any of the incentive programs has resulted in a demonstrable increase in the average sale amount.
Which analytical technique would be appropriate in this situation?
Response:
正解：A
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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?
Response:
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?
Response:
正解：B
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Consider the following SQL statement:
SELECT employee_id, year, salary, avg(salary)
OVER
(PARTITION BY employee_id ORDER BY year ROWS BETWEEN 2 PRECEDING AND CURRENT ROW) as result_1 FROM employee ORDER BY employee_id, year For each employee_id, what is returned as result_1?
Response:
SELECT employee_id, year, salary, avg(salary)
OVER
(PARTITION BY employee_id ORDER BY year ROWS BETWEEN 2 PRECEDING AND CURRENT ROW) as result_1 FROM employee ORDER BY employee_id, year For each employee_id, what is returned as result_1?
Response:
正解：D
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You are assigned the task of creating customer profiles for your company. In your database, you have 25 key input variables that come together to define 2,500 customers. You decide to run a K-means cluster analysis on the 25 input variables based on k=4 to build your profiles.
Your analysis resulted in four cluster populations:
Cluster A=1,000 customers
Cluster B=560 customers
Cluster C=925 customers
Cluster D=15 customers
What should be attempted first to more evenly distribute the customer population across clusters?
Response:
Your analysis resulted in four cluster populations:
Cluster A=1,000 customers
Cluster B=560 customers
Cluster C=925 customers
Cluster D=15 customers
What should be attempted first to more evenly distribute the customer population across clusters?
Response:
正解：D
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You are building a logistic regression model to predict whether a tax filer will be audited within the next two years. Your training set population is 1000 filers. The audit rate in your training data is 4.2%.
What is the sum of the probabilities that the model assigns to all the filers in your training set that have been audited?
Response:
What is the sum of the probabilities that the model assigns to all the filers in your training set that have been audited?
Response:
正解：D
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