PASS GUARANTEED QUIZ USEFUL DEA-7TT2 - LATEST ASSOCIATE - DATA SCIENCE AND BIG DATA ANALYTICS V2 EXAM EXAM DUMPS

Pass Guaranteed Quiz Useful DEA-7TT2 - Latest Associate - Data Science and Big Data Analytics v2 Exam Exam Dumps

Pass Guaranteed Quiz Useful DEA-7TT2 - Latest Associate - Data Science and Big Data Analytics v2 Exam Exam Dumps

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Tags: Latest DEA-7TT2 Exam Dumps, Test DEA-7TT2 Pdf, DEA-7TT2 Dumps Free, New DEA-7TT2 Test Materials, DEA-7TT2 Certification Questions

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EMC DEA-7TT2 (Associate - Data Science and Big Data Analytics v2) Exam is a certification exam that measures one's proficiency in data science and big data analytics. DEA-7TT2 Exam covers various topics such as data mining, statistical analysis, machine learning, and data visualization. Associate - Data Science and Big Data Analytics v2 Exam certification is intended for professionals who want to validate their skills and knowledge in the field of data science and big data analytics.

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EMC Associate - Data Science and Big Data Analytics v2 Exam Sample Questions (Q198-Q203):

NEW QUESTION # 198
You fit a Logistic Regression model to your training data and notice that the variable X has an infinite magnitude coefficient. What does this indicate?
Response:

  • A. X takes on only one value for most of the training data
  • B. X is more correlated with the outcome than any of the other variables
  • C. X is completely uncorrelated with the outcome
  • D. X is strongly correlated with the outcome for a subset of the data

Answer: D


NEW QUESTION # 199
Which two analytical methods can be used for dealing with categorical variables with a large number of levels?
Response:

  • A. Logistic Regression and ARMA
  • B. Linear Regression and Association Rules
  • C. Naive Bayesian and Decision Tree
  • D. Naive Bayesian and Linear Regression

Answer: C


NEW QUESTION # 200
Which analytic technique would be appropriate to estimate blood pressure based on age and weight?
Response:

  • A. Linear regression
  • B. K-means clustering
  • C. Naive Bayesian classification
  • D. Time series analysis

Answer: A


NEW QUESTION # 201

You have created a Linear Regression model to predict total sales based on variables M, N, P and Q as shown in the graphic. You originally expected all variables to have positive coefficients. Which action would you take?
Response:

  • A. Accept all variables and begin model validation steps against holdout data
  • B. Accept only statistically significant variables and investigate correlated independent variables
  • C. Accept none of the variables and investigate correlations between all variables
  • D. Accept only positive variables and investigate potential correlation with the dependent variable

Answer: C


NEW QUESTION # 202
You have scored your Naive Bayesian Classifier model on "hold out" test data for cross validation. You have determined the way the samples scored and have tabulated them as shown in the exhibit.

What are the Precision and Recall rates of the model?
Response:

  • A. Precision = 277/262 Recall = 288/262
  • B. Precision =262/288 Recall = 262/277
  • C. Precision = 288/262 Recall = 277/262
  • D. Precision = 262/277 Recall = 262/288

Answer: D


NEW QUESTION # 203
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