Exam Details

  • Exam Code
    :E20-065
  • Exam Name
    :Advanced Analytics Specialist for Data Scientists
  • Certification
    :EMC Certifications
  • Vendor
    :EMC
  • Total Questions
    :66 Q&As
  • Last Updated
    :Mar 10, 2025

EMC EMC Certifications E20-065 Questions & Answers

  • Question 21:

    What does YARN provide over and above MapReduce?

    A. Separate cluster and resource management

    B. Parallelized processing

    C. Serialized processing

    D. Access to HDFS data

  • Question 22:

    Consider the two sentences below. I mailed my credit card application to the bank We walked along the river bank until we came to a waterwheel

    What type of NLP ambiguity might occur when interpreting the word "bank"?

    A. Discourse

    B. Syntactic

    C. Semantic

    D. Acoustic

  • Question 23:

    Assuming the node index starts at 1, what is the out-degree of node 3 in the adjacency matrix shown? Refer to the exhibit.

    A. 0

    B. 1

    C. 2

    D. 3

  • Question 24:

    What describes how nodes in a social network are similar to each other in characteristics?

    A. Community clustering

    B. Modularity

    C. Homophily

    D. Strongly tied network

  • Question 25:

    In multinomial logistic regression, what is used to calculate the probability of outcome occurring?

    A. Logistic function applied to a linear combination of the input and outcome variables

    B. Linear regression applied to a combination of input variables

    C. Linear regression applied to a combination of input and outcome variables

    D. Logistic function applied to a linear combination of the input variables

  • Question 26:

    What best describes tokenization?

    A. Adding lexical relations to the raw text

    B. Converting text into the list of terms

    C. Converting text into a list of unique terms

    D. Reducing variant forms of tokens to their base forms

  • Question 27:

    Consider dataset that resides in HDFS. Which tool natively provides the capability to run a Random Forests model against this data?

    A. Mahout

    B. Pig

    C. Hive

    D. HBase

  • Question 28:

    How is the relative value of a node visualized in a sunburst?

    A. Color

    B. Area

    C. Gradient

    D. Position

  • Question 29:

    What is a characteristic of the trigram language model?

    A. Based on the second-order Markov process

    B. Equivalent to trigram hidden Markov models

    C. Uses smoothing to reduce the high dimensionality in text

    D. Can be used for part-of -speech tagging

  • Question 30:

    Which problem type is best suited for simulation?

    A. One with a few. non-random input variables

    B. One that has a closed-form solution

    C. One with numerous, non-random Input-variables

    D. One that compares "what-if scenarios

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