EMC E20-065 Online Practice Questions and Exam Preparation

EMC E20-065 Online Questions & Answers

• Question 1:

  What process must address acoustic ambiguity in NLP?

  A. Part-of-speech tagging
  B. Word sense disambiguation
  C. Speech recognition
  D. Discourse
  C. Speech recognition

• Question 2:

  A marketing team creates a graph using a square for each data point, where the length of each side is set to the data value. The data values are 10 and 20. What is the lie factor of the graph?

  A. 1
  B. 2
  C. 3
  D. 6
  B. 2

• Question 3:

  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
  D. One that compares "what-if scenarios

• Question 4:

  What is a key beneficial characteristic of the Random Forest algorithm?

  A. Provides and explanatory model
  B. Distinguishes categorical from continuous variables
  C. Support for unstructured data
  D. Resiliency to complex, non-linear variable interactions
  D. Resiliency to complex, non-linear variable interactions

• Question 5:

  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
  C. Homophily

• Question 6:

  What is a characteristic of lemmatization?

  A. Can be performed by calling the synset () function on a lemma in LNTK
  B. Can be performed by calling the lemma() function on a synset in LNTK
  C. Reduces words of variant forms to their base forms based on a set of heuristics
  D. Reduces words of variant forms to their base forms based on a dictionary
  D. Reduces words of variant forms to their base forms based on a dictionary

• Question 7:

  What are key characteristics of regular lattices?

  A. Low clustering coefficients, high network diameters
  B. High clustering coefficients, small network diameters
  C. Low clustering coefficients; small network diameters
  D. High clustering coefficients; high network diameters
  D. High clustering coefficients; high network diameters

• Question 8:

  In which step in the visualization lifecycle would you determine how the raw data is stored?

  A. Visualization Planning
  B. Data Preparation
  C. Visualization Building
  D. Discovery
  B. Data Preparation

• Question 9:

  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
  A. Based on the second-order Markov process

• Question 10:

  What is an ideal use case for HDFS?

  A. Storing files that are updated frequently
  B. Storing files that are written once and read many times
  C. Storing results between Map steps and Reduce steps
  D. Storing application files in memory
  B. Storing files that are written once and read many times