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Free Download Reliable DEA-7TT2 Test Preparation & Useful DEA-7TT2 Sample Questions & The Best EMC Associate - Data Science and Big Data Analytics v2 Exam

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EMC DEA-7TT2 (Associate - Data Science and Big Data Analytics v2) certification exam is designed for individuals who want to demonstrate their knowledge and skills in the data science and big data analytics field. Associate - Data Science and Big Data Analytics v2 Exam certification validates the expertise of individuals in managing, analyzing, and visualizing large data sets using various tools and techniques. DEA-7TT2 Exam covers a wide range of topics, including data exploration, data preparation, data analysis, and data visualization.

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DEA-7TT2 Practice Test: Associate - Data Science and Big Data Analytics v2 Exam & DEA-7TT2 Exam Preparation & DEA-7TT2 Study Guide

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EMC Associate - Data Science and Big Data Analytics v2 Exam Sample Questions (Q179-Q184):

NEW QUESTION # 179
A data scientist is investigating a new database column that needs to be integrated into their model. The column contains 10,000 labels with 300 unique values. Which data structure should be used when working in R?
Response:

A. Data frame
B. List
C. Array
D. Factor

Answer: D

NEW QUESTION # 180
In which lifecycle stage are appropriate analytical techniques determined?
Response:

A. Discovery
B. Model building
C. Data preparation
D. Model planning

Answer: D

NEW QUESTION # 181
To ensure a successful analytic project, which key role can provide business domain expertise with a deep understanding of the data and key performance indicators?
Response:

A. Project Sponsor
B. Project Manager
C. Business Intelligence Analyst
D. Business User

Answer: C

NEW QUESTION # 182
In linear regression, what indicates that an estimated coefficient is significantly different than zero?
Response:

A. A small p-value
B. R-squared near 1
C. The estimated coefficient is greater than 3
D. R-squared near 0

Answer: A

NEW QUESTION # 183
What is a consideration when building decision trees?
Response:

A. Correlated variables can cause double-counting
B. Cannot handle variables that affect the outcome in a discontinuous way
C. Tree structure is sensitive to small changes in the training data
D. Short decision trees are likely subject to overfit

Answer: C

NEW QUESTION # 184
......

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Dan Reed Dan Reed

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