FREE PDF DEA-7TT2 - ASSOCIATE - DATA SCIENCE AND BIG DATA ANALYTICS V2 EXAM–HIGH PASS-RATE PRACTICE TEST ONLINE

Free PDF DEA-7TT2 - Associate - Data Science and Big Data Analytics v2 Exam–High Pass-Rate Practice Test Online

Free PDF DEA-7TT2 - Associate - Data Science and Big Data Analytics v2 Exam–High Pass-Rate Practice Test Online

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Tags: DEA-7TT2 Practice Test Online, DEA-7TT2 Certification Exam Dumps, Reliable Study DEA-7TT2 Questions, New DEA-7TT2 Test Experience, Latest DEA-7TT2 Mock Test

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EMC DEA-7TT2: Associate - Data Science and Big Data Analytics v2 is an industry-recognized certification exam designed for individuals who wish to demonstrate their skills in the field of data science and big data analytics. DEA-7TT2 exam is created by the EMC Corporation, a leading provider of IT solutions and services worldwide. Passing DEA-7TT2 exam demonstrates that the candidate has the necessary skills to work with big data and extract valuable insights from it.

EMC DEA-7TT2 (Associate - Data Science and Big Data Analytics v2) Exam is a certification exam that tests the knowledge and skills of individuals in the field of data science and big data analytics. DEA-7TT2 Exam is designed for individuals who have a basic understanding of data science and big data analytics and want to enhance their knowledge and skills in this field. DEA-7TT2 exam covers a wide range of topics, including data preparation, data analysis, machine learning, and statistics.

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Quiz EMC - DEA-7TT2 - Trustable Associate - Data Science and Big Data Analytics v2 Exam Practice Test Online

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EMC Associate - Data Science and Big Data Analytics v2 Exam Sample Questions (Q34-Q39):

NEW QUESTION # 34
How is dimensionality defined in a "bag of words" document representation?
Response:

  • A. Total number of words in the document
  • B. Frequency of repeated words in the document
  • C. Number of unique terms in the document
  • D. Average number of words per sentence in the document

Answer: C


NEW QUESTION # 35
A study was run to identify general dietary patterns among the residents of a small town. Twelve thousand people were surveyed and the data was subject to K-means clustering. In one of the iterations, there were six clusters formed with 38, 1560, 1799, 2560, 2893, and 3150 respondents.
What should be the next step in identifying optimal clusters?
Response:

  • A. Decrease the number of clusters to see if the last cluster gets combined
  • B. Remove 38 respondents because the 5 clusters seem to be well distributed
  • C. Increase the number of clusters to see if the last cluster gets combined
  • D. Multiply each variable by its standard deviation

Answer: A


NEW QUESTION # 36
Refer to the exhibit.

You are asked to write a report on how specific variables impact your client's sales using a data set provided to you by the client. The data includes 15 variables that the client views as directly related to sales, and you are restricted to these variables only.
After a preliminary analysis of the data, the following findings were made:
1. Multicollinearity is not an issue among the variables
2. Only three variables-A, B, and C-have significant correlation with sales You build a linear regression model on the dependent variable of sales with the independent variables of A, B, and C. The results of the regression are seen in the exhibit.
Which interpretation is supported by the analysis?
Response:

  • A. Due to the R2 of 0.10, the model is not valid - the linear regression should be rerun with all 15 variables forced into the model to increase the R2
  • B. Variables A, B, and C are significantly impacting sales, but are not effectively estimating sales
  • C. Variables A, B, and C are significantly impacting sales and are effectively estimating sales
  • D. Due to the R2 of 0.10, the model is not valid - a different analytical model should be attempted

Answer: B


NEW QUESTION # 37
If your intention is to show trends over time, which chart type is the most appropriate way to depict the data?
Response:

  • A. Bar chart
  • B. Stacked bar chart
  • C. Line chart
  • D. Histogram

Answer: C


NEW QUESTION # 38
In the Map Reduce framework, what is the purpose of the Reduce function?
Response:

  • A. It distributes the input to multiple nodes for processing
  • B. It aggregates the results of the Map function and generates processed output
  • C. It breaks the input into smaller components and distributes to other nodes in the cluster
  • D. It writes the output of the Map function to storage

Answer: B


NEW QUESTION # 39
......

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