Exam Details

  • Exam Code
    :E20-007
  • Exam Name
    :Data Science and Big Data Analytics
  • Certification
    :EMC Certifications
  • Vendor
    :EMC
  • Total Questions
    :198 Q&As
  • Last Updated
    :Mar 30, 2025

EMC EMC Certifications E20-007 Questions & Answers

  • Question 11:

    You are studying the behavior of a population, and you are provided with multidimensional data at the individual level. You have identified four specific individuals who are valuable to your study, and would like to find all users who are most similar to each individual. Which algorithm is the most appropriate for this study?

    A. K-means clustering

    B. Linear regression

    C. Association rules

    D. Decision trees

  • Question 12:

    The web analytics team uses Hadoop to process access logs. They now want to correlate this data with structured user data residing in a production single-instance JDBC database. They collaborate with the production team to import the data into Hadoop. Which tool should they use?

    A. Sqoop

    B. Pig

    C. Chukwa

    D. Scribe

  • Question 13:

    What is an example of a null hypothesis?

    A. that a newly created model does not provide better predictions than the currently existing model

    B. that a newly created model provides a prediction of a null sample mean

    C. that a newly created model provides a prediction of a null population mean

    D. that a newly created model provides a prediction that will be well fit to the null distribution

  • Question 14:

    Refer to exhibit.

    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

  • Question 15:

    What is the format of the output from the Map function of MapReduce?

    A. Key-value pairs

    B. Binary respresentation of keys concatenated with structured data

    C. Compressed index

    D. Unique key record and separate records of all possible values

  • Question 16:

    You are building a logistic regression model to predict whether a tax filer will be audited within the next two years. Your training set population is 1000 filers. The audit rate in your training data is 4.2%. What is the sum of the probabilities that the model assigns to all the filers in your training set that have been audited?

    A. 42.0

    B. 4.2

    C. 0.42

    D. 0.042

  • Question 17:

    In which lifecycle stage are test and training data sets created?

    A. Model building

    B. Model planning

    C. Discovery

    D. Data preparation

  • Question 18:

    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

  • Question 19:

    A disk drive manufacturer has a defect rate of less than 1.5% 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 is functioning properly and no further action is required

    B. A larger sample size should be taken to determine if the plant is operating correctly

    C. A smaller sample size should be taken to determine if the plant is operating correctly

    D. There is a flaw in the quality assurance process and the sample should be repeated

  • Question 20:

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

    A. Run a pilot

    B. Try different analytical techniques

    C. Try different variables

    D. Transform existing variables

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