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Latest DEA-7TT2 Exam Topics, Guaranteed DEA-7TT2 Questions Answers

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EMC DEA-7TT2 Certification Exam is a computer-based test that consists of 60 multiple-choice questions. The test taker is given 90 minutes to complete the exam. DEA-7TT2 exam covers a wide range of topics, including data preparation, data analysis, statistics, machine learning, and data visualization. The test is designed to evaluate the test taker’s knowledge of these topics and their ability to apply them in real-world scenarios.

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EMC Associate - Data Science and Big Data Analytics v2 Exam Sample Questions (Q86-Q91):

NEW QUESTION # 86
In addition to quantitative and technical skills, what is a key aspect of the profile of a data scientist?
Response:

A. Project management and administrative skills
B. Proficient in Microsoft Project and Excel
C. Accounting and regulatory skills
D. Curious and creative

Answer: D

NEW QUESTION # 87
In a decision tree, what is an example of a pure node?
Response:

A. 75 positives; 25 negatives
B. 50 positives; 50 negatives
C. 100 positives; 0 negatives
D. 25 positives; 75 negatives

Answer: C

NEW QUESTION # 88
You have fit a decision tree classifier using 12 input variables. The resulting tree used 7 of the 12 variables, and is 5 levels deep. Some of the nodes contain only 3 data points. The AUC of the model is 0.85.
What is your evaluation of this model?
Response:

A. The AUC is high, and the small nodes are all very pure. This is an accurate model.
B. The tree did not split on all the input variables. You need a larger data set to get a more accurate model.
C. The AUC is high, so the overall model is accurate. It is not well-calibrated, because the small nodes will give poor estimates of probability.
D. The tree is probably overfit. Try fitting shallower trees and using an ensemble method.

Answer: D

NEW QUESTION # 89
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 completely uncorrelated with the outcome
C. X is strongly correlated with the outcome for a subset of the data
D. X is more correlated with the outcome than any of the other variables

Answer: C

NEW QUESTION # 90
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.
Response:
Naive Bayesian classifier

A. Logistic regression
B. Linear regression
C. K-means clustering

Answer: B

NEW QUESTION # 91
......

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