Data Scientist Associate E20-007 dumps

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E20-007 Data Science and Big Data
Analytics Exam

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EMC E20-007 Overview

• This exam is a qualifying exam for the Data
  Science Associate (EMCDSA) certification.
• This exam focuses on the practice of data
  analytics, the role of the Data Scientist, the
  main phases of the Data Analytics Lifecycle,
  analyzing and exploring data with R, statistics
  for model building and evaluation, the theory and
  methods of advanced analytics and statistical
  modeling, the technology and tools that can be
  used for advanced analytics, operationalizing an
  analytics project, and data visualization
  techniques. Successful candidates will achieve
  the EMC Proven Professional Data Science
  Associate credential.

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EMC E20-007 exam Topics

• Big Data Analytics and the Data Scientist Role
  (7) ?
• Data Analytics Lifecycle (9)
• Initial Analysis of the Data (15)
• Advanced Analytics for Big Data Theory and
  Methods (40)
• Advanced Analytics for Big Data Technology and
  Tools (20)
• Operationalizing an Analytics Project and Data
  Visualization Techniques (9)

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• Real questions from real test

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EMC E20-007 exam free
demoQuestions 1

• You are using MADlib for Linear Regression
  analysis. Which value does the statement return?
  SELECT (linregr(depvar, indepvar)).r2 FROM zeta1
  
• Goodness of fit
• Coefficients
• Standard error
• P-value
• Answer A

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EMC E20-007 exam free demoQuestions 2

• Which data asset is an example of
  quasi-structured data.?
• Webserver log
• XML data file
• Database table
• News article
• Answer A

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EMC E20-007 exam free demo Questions 3

• What would be considered "Big Data"?
• An OLAP Cube containing customer demographic
  information about 100,000,000 customers
• Daily Log files from a web server that receives
  100,000 hits per minute
• Aggregated statistical data stored in a
  relational database table
• Spreadsheets containing monthly sales data for a
  Global 100 corporation
• Answer B

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EMC E20-007 exam free demo Questions 4

• A data scientist plans to classify the sentiment
  polarity of 10, 000 product reviews collected
  from the Internet. What is the most appropriate
  model to use? Suppose labeled training data is
  available.
• Na ve Bayesian classifier
• Linear regression
• Logistic regression
• K-means clustering
• Answer A

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EMC E20-007 exam free demo Questions 5

• In which lifecycle stage are test and training
  data sets created?
• Model building
• Model planning
• Discovery
• Data preparation
• Answer A

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