EMC EMC Specialist E20-026 Questions & Answers

• Question 11:

  Refer to the exhibit.

  What provides the decision tree for predicting whether or not someone is a good or bad credit risk. What

  would be the assigned probability, p(good), of a single male with no known savings?

  

  A. 0.83

  B. 0

  C. 0.498

  D. 0.6

  Correct Answer: A

• Question 12:

  Refer to the exhibit.

  Which type of data issue would you suspect based on the exhibit?

  

  A. "Saturated" data,indicating potential issues with data definitions

  B. Incomplete data,indicating potential issues with data transmission

  C. Mis-scaled data,indicating potential issues with data entry

  D. The exhibit does not raise any obvious concerns with the data.

  Correct Answer: A

• Question 13:

  Refer to the exhibit.

  Click on the calculator icon in the upper left corner. You are given a list of pre-defined association rules:

  

  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?

  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

  A. Rules B and D

  B. Rules A and F

  C. Rules C and E

  D. Rules D and E

  Correct Answer: A

• Question 14:

  Refer to the exhibit.

  You are using k-means clustering to discover groupings within a data set. You plot within-sum-of-squares

  (wss) of multiple cluster sizes. Based on the exhibit, how many clusters should you use in your analysis?

  

  A. 4

  B. 2

  C. 8

  D. 10

  Correct Answer: A

• Question 15:

  Refer to the exhibit Consider the training data set shown in the exhibit. What are the classification (Y = 0 or

  1) and the probability of the classification for the tupleX(0, 0, 1) using Naive Bayesian classifier?

  

  A. Classification Y = 1,Probability = 4/54

  B. Classification Y = 0,Probability = 1/54

  C. Classification Y = 1,Probability = 1/54

  D. Classification Y = 0,Probability = 4/54

  Correct Answer: A

• Question 16:

  Refer to the exhibit.

  In the exhibit, a correlogram is provided based on an autocorrelation analysis of a sample dataset.

  What can you conclude from only this exhibit?

  

  A. There is significant autocorrelation through lag 3

  B. There is no structure left to model in the data

  C. Lag 7 has a significant negative autocorrelation

  D. Differencing is required before proceeding with any analysis

  Correct Answer: A

• Question 17:

  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?

  

  A. 2

  B. 3

  C. 4

  D. 8

  Correct Answer: C

• Question 18:

  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?

  

  A. Tree B

  B. Tree A

  C. Tree C

  D. Tree D

  Correct Answer: A

• Question 19:

  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?

  

  A. Tree B

  B. Tree A

  C. Tree C

  D. Tree D

  Correct Answer: A

• Question 20:

  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?

  

  A. Total Sales to Date

  B. Daily Sales

  C. Average Daily Price

  D. Maximum Price

  Correct Answer: A