EMC E20-026 Online Practice Questions and Exam Preparation

EMC E20-026 Online Questions & Answers

• Question 131:

  What is a core deliverable at the end of the analytic project?

  A. An implemented database design
  B. A whitepaper describing the project and the implementation
  C. A presentation for project sponsors
  D. The training materials
  C. A presentation for project sponsors

• Question 132:

  What is the mandatory Clause that must be included when using Window functions?

  A. OVER
  B. RANK
  C. PARTITION BY
  D. RANK BY
  C. PARTITION BY

• Question 133:

  You are analyzing data in order to build a classifier model. You discover non-linear data and discontinuities that will affect the model. Which analytical method would you recommend?

  A. Decision Trees
  B. Logistic Regression
  C. ARIMA
  D. Linear Regression
  A. Decision Trees

• Question 134:

  In data visualization, which type of chart is recommended to represent frequency data?

  A. Line chart
  B. Histogram
  C. Q-Q chart
  D. Scatterplot
  B. Histogram

• Question 135:

  The average purchase size from your online sales site is $17, 200. The customer experience team believes a certain adjustment of the website will increase sales. A pilot study on a few hundred customers showed an increase in average purchase size of $1.47, with a significance level of p=0.1. The team runs a larger study, of a few thousand customers. The second study shows an increased average purchase size of $0.74, with a significance level of 0.03. What is your assessment of this study?

  A. The change in purchase size is not practically important,and the good p-value of the second study is probably a result of the large study size.
  B. The change in purchase size is small,but may aggregate up to a large increase in profits over the entire customer base.
  C. The difference in the change in purchase size between the two studies is troubling; The team should run another,larger study.
  D. The p-value of the second study shows a statistically significant change in purchase size. The new website is an improvement.
  A. The change in purchase size is not practically important,and the good p-value of the second study is probably a result of the large study size.

• Question 136:

  How does Pig's use of a schema differ from that of a traditional RDBMS?

  A. Pig's schema is optional
  B. Pig's schema requires that the data is physically present when the schema is defined
  C. Pig's schema is required for ETL
  D. Pig's schema supports a single data type
  A. Pig's schema is optional

• Question 137:

  A data scientist wants to predict the probability of death from heart disease based on three risk factors:

  age, gender, and blood cholesterol level.

  What is the most appropriate method for this project?

  A. Logistic regression
  B. Linear regression
  C. K-means clustering
  D. Apriori algorithm
  A. Logistic regression

• Question 138:

  Your organization has a website where visitors randomly receive one of two coupons. It is also possible that visitors to the website will not receive a coupon. You have been asked to determine if offering a coupon to visitors to your website

  has any impact on their purchase decision.

  Which analysis method should you use?

  A. K-means clustering
  B. Association rules
  C. Student T-test
  D. One-way ANOVA
  D. One-way ANOVA

• Question 139:

  Refer to the exhibit.

  You have scored your Naive bayesian classifier model on a hold out test data for cross validation and determined the way the samples scored and tabulated them as shown in the exhibit. What are the the False Positive Rate (FPR) and the

  False Negative Rate (FNR) of the model?

  

  A. FPR = 15/262 FNR = 26/288
  B. FPR = 26/288 FNR = 15/262
  C. FPR = 262/15 FNR = 288/26
  D. FPR = 288/26 FNR = 262/15
  A. FPR = 15/262 FNR = 26/288

• Question 140:

  Under which circumstance do you need to implement N-fold cross-validation after creating a regression model?

  A. There is not enough data to create a test set.
  B. The data is unformatted.
  C. There are missing values in the data.
  D. There are categorical variables in the model.
  A. There is not enough data to create a test set.