EMC E20-026 Online Practice Questions and Exam Preparation

EMC E20-026 Online Questions & Answers

• Question 51:

  Consider a scale that has five (5) values that range from "not important" to "very important". Which data classification best describes this data?

  A. Ordinal
  B. Nominal
  C. Real
  D. Ratio
  A. Ordinal

• Question 52:

  Which functionality do regular expressions provide?

  A. text pattern matching
  B. underflow prevention
  C. increased numerical precision
  D. decreased processing complexity
  A. text pattern matching

• Question 53:

  You have been assigned to do a study of the daily revenue effect of a pricing model of online transactions. You have tested all the theoretical models in the previous model planning stage, and all tests have yielded statistically insignificant results. What is your next step?

  A. Report that the results are insignificant,and reevaluate the original business question.
  B. Run all the models again against a larger sample,leveraging more historical data.
  C. Move forward on the model with the highest significance scores relative to the others.
  D. Modify samples used by the models and iterate until a significant result occurs.
  A. Report that the results are insignificant,and reevaluate the original business question.

• Question 54:

  A disk drive manufacturer has a defect rate of less than 1.0% with 98% confidence. A quality assurance team samples 1000 disk drives and finds 14 defective units. Which action should the team recommend?

  A. The manufacturing process should be inspected for problems.
  B. A larger sample size should be taken to determine if the plant is functioning properly
  C. A smaller sample size should be taken to determine if the plant is functioning properly
  D. The manufacturing process is functioning properly and no further action is required.
  A. The manufacturing process should be inspected for problems.

• Question 55:

  On analyzing your time series data you suspect that the data represented as y1, y2, y3, ... , yn-1, yn may have a trend component that is quadratic in nature. Which pattern of data will indicate that the trend in the time series data is quadratic in nature?

  A. (y3-y2) ?(y2-y1) = .........= (yn-yn-1)-(yn-1-yn-2)
  B. (y2-y1) = (y3-y2) = ....... = (yn-yn-1)
  C. ((y2-y1) /y1 ) * 100% = .......((yn-yn-1)/yn-1) * 100%
  D. (y4-y2) ?(y3-y1) = .........= (yn-yn-2)-(yn-1-yn-3)
  A. (y3-y2) ?(y2-y1) = .........= (yn-yn-1)-(yn-1-yn-2)

• Question 56:

  Which activity is performed in the Operationalize phase of the Data Analytics Lifecycle?

  A. Define the process to maintain the model
  B. Try different analytical techniques
  C. Try different variables
  D. Transform existing variables
  A. Define the process to maintain the model

• Question 57:

  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
  C. 4

• Question 58:

  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 tuple X(1, 0, 0) using Naive Bayesian classifier?

  

  A. Classification Y = 0,Probability = 4/54
  B. Classification Y = 1,Probability = 4/54
  C. Classification Y = 0,Probability = 1/54
  D. Classification Y = 1,Probability = 1/54
  A. Classification Y = 0,Probability = 4/54

• Question 59:

  You are asked to write a report on how specific variables impact your client's sales using a data set provided to you by the client. The data includes 15 variables that the client views as directly related to sales, and you are restricted to these

  variables only.

  After a preliminary analysis of the data, the following findings were made:

  1.

  Multicollinearity is not an issue among the variables

  2.

  Only three variables--A, B, and C--have significant correlation with sales You build a linear regression model on the dependent variable of sales with the independent variables of A, B, and C. The results of the regression are seen in the exhibit. You cannot request additional datA. what is a way that you could try to increase the R2 of the model without artificially inflating it?

  

  A. Create clusters based on the data and use them as model inputs
  B. Force all 15 variables into the model as independent variables
  C. Create interaction variables based only on variables A,B,and C
  D. Break variables A,B,and C into their own univariate models
  A. Create clusters based on the data and use them as model inputs

• Question 60:

  Consider a database with 4 transactions: Transaction 1: {cheese, bread, milk}

  Transaction 2: {soda, bread, milk} Transaction 3: {cheese, bread} Transaction 4: {cheese, soda, juice}

  The minimum support is 25%. Which rule has a confidence equal to 50%?

  A. {bread,milk} => {cheese}
  B. {bread} => {milk}
  C. {juice} => {soda}
  D. {bread} => {cheese}
  D. {bread} => {cheese}