E20-026 Exam Details

  • Exam Code
    :E20-026
  • Exam Name
    :Enterprise Storage Networking Specialist Exam
  • Certification
    :EMC Certifications
  • Vendor
    :EMC
  • Total Questions
    :163 Q&As
  • Last Updated
    :Jul 12, 2026

EMC E20-026 Online Questions & Answers

  • Question 1:

    Refer to the exhibit.

    Click on the calculator icon in the upper left corner. You are given a list of pre-defined association rules:

    For your next analysis, you must limit your dataset based on rules with confidence greater than 60%. Which of the rules will be kept in the analysis?

    A. Rules B and D
    B. Rules A and F
    C. Rules C and E
    D. Rules D and E
    E. FREE HOUSING => BAD CREDIT
    F. FREE HOUSING => GOOD CREDIT

  • Question 2:

    Your customer provided you with 2, 000 unlabeled records and asked you to separate them into three groups. What is the correct analytical method to use?

    A. K-means clustering
    B. Linear regression
    C. Naive Bayesian classification
    D. Logistic regression

  • Question 3:

    Refer to the Exhibit.

    In the Exhibit. For effective visualization, what is the chart's primary flaw?

    A. The use of 3 dimensions.
    B. The slanting of axis labels.
    C. The location of the legend.
    D. The order of the columns.

  • Question 4:

    When would you use GROUP BY ROLLUP clause in your OLAP query?

    A. where all subtotals and grand totals are to be included in the output
    B. where only the subtotals are to be included in the output
    C. where only the grand totals are to be included in the output
    D. where only specific subtotals and grand totals for a combination of variables are to be included in the output

  • Question 5:

    Data visualization is used in the final presentation of an analytics project. For what else is this technique commonly used?

    A. Assessing data quality
    B. Descriptive statistics
    C. ETLT
    D. Model selection

  • Question 6:

    Which method is used to solve for coefficients b0, b1, .., bn in your linear regression model : Y = b0 + b1x1+b2x2+....+bnxn

    A. Ordinary Least squares
    B. Apriori Algorithm
    C. Ridge and Lasso
    D. Integer programming

  • Question 7:

    Which word or phrase completes the statement? A data warehouse is to a centralized database for reporting as an analytic sandbox is to a _______?

    A. Collection of data assets for modeling
    B. Collection of low-volume databases
    C. Centralized database of KPIs
    D. Collection of data assets for ETL

  • Question 8:

    You are using the Apriori algorithm to determine the likelihood that a person who owns a home has a good credit score. You have determined that the confidence for the rules used in the algorithm is > 75%. You calculate lift = 1.011 for the rule, "People with good credit are homeowners". What can you determine from the lift calculation?

    A. Support for the association is low
    B. Leverage of the rules is low
    C. The rule is coincidental
    D. The rule is true

  • Question 9:

    When would you prefer a Naive Bayes model to a logistic regression model for classification?

    A. When you are using several categorical input variables with over 1000 possible values each.
    B. When you need to estimate the probability of an outcome,not just which class it is in.
    C. When all the input variables are numerical.
    D. When some of the input variables might be correlated.

  • Question 10:

    When would you use a Wilcoxson Rank Sum test?

    A. When you cannot make an assumption about the distribution of the populations
    B. When the data can easily be sorted
    C. When the populations represent the sums of other values D. When the data cannot easily be sorted

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