EMC E20-026 Online Practice Questions and Exam Preparation

EMC E20-026 Online Questions & Answers

• Question 151:

  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}

  You decide to run the association rules algorithm where minimum support is 50%. Which rule has a confidence equal to 25%?

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

• Question 152:

  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 tabluated them as shown in the exhibit.

  What are the Precision and Recall rate of the model?

  

  A. Precision = 262/277 Recall = 262/288
  B. Precision =262/288 Recall = 262/277
  C. Precision = 277/262 Recall = 288/262
  D. Precision = 288/262 Recall = 277/262
  A. Precision = 262/277 Recall = 262/288

• Question 153:

  Your colleague, who is new to Hadoop, approaches you with a question. They want to know how best to access their data. This colleague has previously worked extensively with SQL and databases. Which query interface would you recommend?

  A. Hive
  B. Pig
  C. Howl
  D. HBase
  A. Hive

• Question 154:

  You are using MADlib for Linear Regression analysis. Which value does the statement return? SELECT (linregr(depvar, indepvar)).r2 FROM zeta1;

  A. Goodness of fit
  B. Coefficients
  C. Standard error
  D. P-value
  A. Goodness of fit

• Question 155:

  What is the primary bottleneck in text classification?

  A. The availablilty of tagged training data.
  B. The ability to parse unstructured text data.
  C. The high dimensionality of text data.
  D. The fact that text corpora are dynamic.
  A. The availablilty of tagged training data.

• Question 156:

  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 157:

  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
  A. Total Sales to Date

• Question 158:

  Refer to the exhibit.

  The exhibit shows four graphs labeled as Fig A thorough Fig D. Which figure represents the entropy function relative to a Boolean classification and is represented by the formula shown in Exhibit?

  

  A. Fig-A
  B. Fig-B
  C. Fig-C
  D. Fig-D
  A. Fig-A

• Question 159:

  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
  A. Tree B

• Question 160:

  What is LOESS used for?

  A. It fits a smoothed curve to scatterplot data,to give a general sense of the data's behavior.
  B. It is a significance test for the correlation between two variables.
  C. It plots a continuous variable versus a discrete variable,to compare distributions across classes.
  D. It is run after a one-way ANOVA,to determine which population has the highest mean value.
  A. It fits a smoothed curve to scatterplot data,to give a general sense of the data's behavior.