EMC Associate - Data Science and Big Data Analytics v2 - DEA-7TT2 Exam Questions

QUESTION NO: 1
In logistic regression modeling, what is the commonly assigned probability threshold used to assign a class label?
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QUESTION NO: 2
Which data asset is an example of unstructured data?
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QUESTION NO: 3
What is LOESS used for?
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QUESTION NO: 4
When would you prefer a Naive Bayes model to a logistic regression model for classification?
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QUESTION NO: 5
A data scientist wants to add a new categorical variable, X2, into a Linear Regression model Y=b0+b1*X1. How many terms should be added to the right-hand side of the equation if X2 has four possible values?
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QUESTION NO: 6
Why do the Naive Bayesian classifier implementations use the log of probability value rather than the pure probability value?
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QUESTION NO: 7
Refer to the exhibit.

In the exhibit, the x-axis represents the derived probability of a borrower defaulting on a loan. Also in the exhibit, the pink represents borrowers that are known to have not defaulted on their loan, and the blue represents borrowers that are known to have defaulted on their loan.
Which analytical method could produce the probabilities needed to build this exhibit?
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QUESTION NO: 8
Which word or phrase completes the statement; "The intersection of two sets is to INNER JOIN as the union of two sets is to __________."?
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QUESTION NO: 9
You have been assigned to run a logistic regression model for each of 100 countries, and all the data is currently stored in a PostgreSQL database. Which tool/library would you use to produce these models with the least effort?
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QUESTION NO: 10
In time series analysis, what function is examined to identify the order of the moving average component of an ARIMA model?
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QUESTION NO: 11
If your intention is to show trends over time, which chart type is the most appropriate way to depict the data?
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QUESTION NO: 12
You have been assigned to do a study of the daily revenue effect of a pricing model of online transactions. When have you completed the analytics lifecycle?
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QUESTION NO: 13
What provides the means for matching and manipulating text strings in SQL?
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QUESTION NO: 14
Consider a database with 4 transactions:
Transaction 1: {cheese, bread, milk}
Transaction 2: {soda, bread, milk}
Transaction 3: {cheese, bread}
Transaction 4: {cheese, soda, juice}
You decide to run the association rules algorithm where minimum support is 50%. Which rule has a confidence at least 50%?
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