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 71:

    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.

  • Question 72:

    A data scientist is asked to implement an article recommendation feature for an on-line magazine. The magazine does not want to use client tracking technologies such as cookies or reading history. Therefore, only the style and subject

    matter of the current article is available for making recommendations. All of the magazine's articles are stored in a database in a format suitable for analytics.

    Which method should the data scientist try first?

    A. K Means Clustering
    B. Naive Bayesian
    C. Logistic Regression
    D. Association Rules

  • Question 73:

    What is holdout data?

    A. a subset of the provided data set selected at random and used to validate the model
    B. a subset of the provided data set selected at random and used to initially construct the model
    C. a subset of the provided data set that is removed by the data scientist because it contains data errors
    D. a subset of the provided data set that is removed by the data scientist because it contains outliers

  • Question 74:

    What are the characteristics of Big Data?

    A. Data volume,processing complexity,and data structure variety.
    B. Data volume,business importance,and data structure variety.
    C. Data type,processing complexity,and data structure variety.
    D. Data volume,processing complexity,and business importance.

  • Question 75:

    Which key role for a successful analytic project can provide business domain expertise with a deep understanding of the data and key performance indicators?

    A. Business Intelligence Analyst
    B. Project Manager
    C. Project Sponsor
    D. Business User

  • Question 76:

    Which word or phrase completes the statement? Unix is to bash as Hadoop is to:

    A. Pig
    B. HDFS
    C. Sqoop
    D. NameNode

  • Question 77:

    You are provided four different datasets. Initial analysis on these datasets show that they have identical mean, variance and correlation values. What should your next step in the analysis be?

    A. Visualize the data to further explore the characteristics of each data set
    B. Select one of the four datasets and begin planning and building a model
    C. Combine the data from all four of the datasets and begin planning and bulding a model
    D. Recalculate the descriptive statistics since they are unlikely to be identical for each dataset

  • Question 78:

    Which SQL OLAP extension provides all possible grouping combinations?

    A. CUBE
    B. ROLLUP
    C. UNION ALL
    D. CROSS JOIN

  • Question 79:

    You have completed your model and are handing it off to be deployed in production. What should you deliver to the production team, along with your commented code?

    A. The production team needs to understand how your model will interact with the processes they already support. Give them documentation on expected model inputs and outputs,and guidance on error- handling.
    B. The production team are technical,and they need to understand how the processes that they support work,so give them the same presentation that you prepared for the analysts.
    C. The production team supports the processes that run the organization,and they need context to understand how your model interacts with the processes they already support. Give them the same presentation that you prepared for the project sponsor.
    D. The production team supports the processes that run the organization,and they need context to understand how your model interacts with the processes they already support. Give them the executive summary.

  • Question 80:

    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

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