EMC E20-007 Online Practice Questions and Exam Preparation

EMC E20-007 Online Questions & Answers

• Question 131:

  In linear regression modeling, which action can be taken to improve the linearity of the relationship between the dependent and independent variables?

  A. Apply a transformation to a variable
  B. Use a different statistical package
  C. Calculate the R-Squared value
  D. Change the units of measurement on the independent variable
  A. Apply a transformation to a variable

• Question 132:

  Which analytical method is considered unsupervised?

  A. K-means clustering
  B. Na飗e Bayesian classifier
  C. Decision tree
  D. Linear regression
  A. K-means clustering

• Question 133:

  You submit a MapReduce job to a Hadoop cluster and notice that although the job was successfully submitted, it is not completing. What should you do?

  A. Ensure that the TaskTracker is running.
  B. Ensure that the JobTracker is running
  C. Ensure that the NameNode is running
  D. Ensure that a DataNode is running
  A. Ensure that the TaskTracker is running.

• Question 134:

  You have been assigned to do a study of the daily revenue effect of a pricing model of online transactions. When have you completed the analytics lifecycle?

  A. You have written documentation, and the code has been handed off to the Data Base Administrator and business operations.
  B. You have a completely developed model, and the results have shown statistically acceptable results.
  C. You have presented the results of the model to both the internal analytics team and the business owner of the project.
  D. You have a completely developed model based on both a sample of the data and the entire set of data available.
  A. You have written documentation, and the code has been handed off to the Data Base Administrator and business operations.

• Question 135:

  Refer to the exhibit.

  

  The graph represents an ROC space with four classifiers labelled A through D. Which point in the graph represents a perfect classification?

  A. S
  B. P
  C. Q
  D. R
  A. S

• Question 136:

  What describes a true limitation of Logistic Regression method?

  A. It does not handle missing values well.
  B. It does not handle redundant variables well.
  C. It does not handle correlated variables well.
  D. It does not have explanatory values.
  A. It does not handle missing values well.

• Question 137:

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

• Question 138:

  You are given 10, 000, 000 user profile pages of an online dating site in XML files, and they are stored in HDFS. You are assigned to divide the users into groups based on the content of their profiles. You have been instructed to try K-means clustering on this data. How should you proceed?

  A. Run MapReduce to transform the data, and find relevant key value pairs.
  B. Divide the data into sets of 1, 000 user profiles, and run K-means clustering in RHadoop iteratively.
  C. Run a Naive Bayes classification as a pre-processing step in HDFS.
  D. Partition the data by XML file size, and run K-means clustering in each partition.
  A. Run MapReduce to transform the data, and find relevant key value pairs.

• Question 139:

  What is one modeling or descriptive statistical function in MADlib that is typically not provided in a standard relational database?

  A. Linear regression
  B. Expected value
  C. Variance
  D. Quantiles
  A. Linear regression

• Question 140:

  You are testing two new weight-gain formulas for puppies. The test gives the results: Control group: 1% weight gain Formula A. 3% weight gain

  Formula B. 4% weight gain A one-way ANOVA returns a p-value = 0.027 What can you conclude?

  A. Either Formula A or Formula B is effective at promoting weight gain.
  B. Formula B is more effective at promoting weight gain than Formula A.
  C. Formula A and Formula B are both effective at promoting weight gain.
  D. Formula A and Formula B are about equally effective at promoting weight gain.
  A. Either Formula A or Formula B is effective at promoting weight gain.