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EMC Dell Data Scientist and Big Data Analytics Foundations 2023 Sample Questions:

1. You have numeric data for more than 500 observations. You are interested in identifying linear relationships among these numeric variables.
Which R function should you employ to get the best visualization?

A) lm()
B) plot(density())
C) rug()
D) pairs()

2. Which process in text analysis can be used to reduce dimensionality?

A) Stemming
B) Digitizing
C) Sorting
D) Parsing

3. The web analytics team uses Hadoop to process access logs. They now want to correlate this data with structured user data residing in a production single-instance JDBC database. They collaborate with the production team to import the data into Hadoop.
Which tool should they use?

A) Sqoop
B) Scribe
C) Chukwa
D) Pig

4. A data scientist is given an R data frame (i.e., empdata) with the following columns: Age Salary Occupation Education Gender The scientist wants to examine only the Salary and Occupation columns for ages greater than '40'.
Which command extracts the appropriate rows and columns from the data frame?

A) empdata[, c("Salary","Occupation")]$Age > 40
B) empdata[c("Salary","Occupation"), empdata$Age > 40]
C) empdata[empdata$Age > 40, c("Salary","Occupation")]
D) empdata[Age > 40, ("Salary","Occupation")]

5. Which relationship holds for a confusion matrix?

A) Precision = 1 - False Negative Ratio
B) Recall = 1 - False Positive Ratio
C) Precision = 1 - False Positive Ratio
D) Recall = 1 - False Negative Ratio

Solutions: