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Question 1:
What is required in a presentation for business analysts?
A. Budgetary considerations and requests
B. Operational process changes
C. Detailed statistical explanation of the applicable modeling theory
D. The presentation author\’s credentials
Correct Answer: B
Question 2:
Which process in text analysis can be used to reduce dimensionality?
A. Stemming
B. Parsing
C. Digitizing
D. Sorting
Correct Answer: A
Question 3:
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?
A. MADlib
B. Mahout
C. RStudio
D. HBase
Correct Answer: A
Question 4:
Your colleague, who is new to Hadoop, approaches you with a question. They want to know how best to access their data. This colleague has previously worked extensively with SQL and databases.
Which query interface would you recommend?
A. Hive
B. Pig
C. Howl
D. HBase
Correct Answer: A
Question 5:
When would you use GROUP BY ROLLUP clause in your OLAP query?
A. where all subtotals and grand totals are to be included in the output
B. where only the subtotals are to be included in the output
C. where only the grand totals are to be included in the output
D. where only specific subtotals and grand totals for a combination of variables are to be included in the output
Correct Answer: A
Question 6:
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[empdata$Age > 40, c(“Salary”,”Occupation”)]
B. empdata[c(“Salary”,”Occupation”), empdata$Age > 40]
C. empdata[Age > 40, (“Salary”,”Occupation”)]
D. empdata[, c(“Salary”,”Occupation”)]$Age > 40
Correct Answer: A
Question 7:
Refer to the exhibit.
You ran a linear regression, and the final output is seen in the exhibit.
Based only on the information in the exhibit and an acceptable confidence level of 95%, how would you interpret the interaction of variable D with the dependent variable?
A. In this model, Variable D is not significantly interacting with the dependent variable
B. For every 1 unit increase in variable D, holding all other variables constant, we can expect the dependent variable to increase by 10.23 units
C. For every 1 unit increase in variable D, holding all other variables constant, we can expect the dependent variable to be multiplied by 10.23 units
D. Variable D is more significant than variables A, B, and C.
Correct Answer: A
Question 8:
Refer to the exhibit.
You have scored your Naive bayesian classifier model on a hold out test data for cross validation and determined the way the samples scored and tabulated them as shown in the exhibit. What are the the False Positive Rate (FPR) and the False Negative Rate (FNR) of the model?
A. FPR = 15/262 FNR = 26/288
B. FPR = 26/288 FNR = 15/262
C. FPR = 262/15 FNR = 288/26
D. FPR = 288/26 FNR = 262/15
Correct Answer: A
Question 9:
Which data asset is an example of semi-structured data?
A. XML data file
B. Database table
C. Webserver log
D. News article
Correct Answer: A
Question 10:
When is a Wilcoxon Rank-Sum test used?
A. When an assumption about the distribution of the populations cannot be made
B. When the data can be easily sorted
C. When the populations represent the sums of other values
D. When the data cannot be easily sorted
Correct Answer: A
Question 11:
Consider the example of an analysis for fraud detection on credit card usage. You will need to ensure higher-risk transactions that may indicate fraudulent credit card activity are retained in your data for analysis, and not dropped as outliers during pre-processing. What will be your approach for loading data into the analytical sandbox for this analysis?
A. ELT
B. ETL
C. EDW
D. OLTP
Correct Answer: A
Question 12:
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?
A. Logistic Regression
B. Linear Regression
C. Discriminant Analysis
D. Association Rules
Correct Answer: A
Question 13:
Which chart type is the most effective way to show trends over time?
A. Line Chart
B. Bar Chart
C. Stacked Bar Chart
D. Histogram
Correct Answer: A
Question 14:
What does R code nv <- v[v < 1000] do?
A. Selects the values in vector v that are less than 1000 and assigns them to the vector nv
B. Sets nv to TRUE or FALSE depending on whether all elements of vector v are less than
C. Removes elements of vector v less than 1000 and assigns the elements >= 1000 to nv
D. Selects values of vector v less than 1000, modifies v, and makes a copy to nv
Correct Answer: A
Question 15:
What is an appropriate data visualization to use in a presentation for a project sponsor?
A. Bar chart
B. Pie chart
C. Box and Whisker plot
D. Density plot
Correct Answer: A