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QUESTION NO: 3
What would be considered “Big Data”?
A. An OLAP Cube containing customer demographic information about 100,000,000 customers
B. Daily Log files from a web server that receives 100,000 hits per minute
C. Aggregated statistical data stored in a relational database table
D. Spreadsheets containing monthly sales data for a Global 100 corporation
Answer: B
QUESTION NO: 9
Which word or phrase completes the statement? Data-ink ratio is to data visualization as
.
A. Confusion matrix is to classifier
B. Data scientist is to big data
C. Seasonality is to ARIMA
D. K-means is to Naive Bayes
Answer: A
QUESTION NO: 11
You are using the Apriori algorithm to determine the likelihood that a person who owns a home
has a good credit score. You have determined that the confidence for the rules used in the
algorithm is > 75%. You calculate lift = 1.011 for the rule, “People with good credit are
homeowners”. What can you determine from the lift calculation?
A. Support for the association is low
B. Leverage of the rules is low
C. The rule is coincidental
D. The rule is true
Answer: C
QUESTION NO: 6
When creating a presentation for a technical audience, what is the main objective?
A. Show that you met the project goals
B. Show how you met the project goals
C. Show if the model will meet the SLA
D. Show the technique to be used in the production environment
Answer: B
QUESTION NO: 7
Your company has 3 different sales teams. Each team’s sales manager has developed incentive
offers to increase the size of each sales transaction. Any sales manager whose incentive program
can be shown to increase the size of the average sales transaction will receive a bonus.
Data are available for the number and average sale amount for transactions offering one of the
incentives as well as transactions offering no incentive.
The VP of Sales has asked you to determine analytically if any of the incentive programs has
resulted in a demonstrable increase in the average sale amount. Which analytical technique would
be appropriate in this situation?
A. One-way ANOVA
B. Multi-way ANOVA
C. Student’s t-test
D. Wilcoxson Rank Sum Test
Answer: A
QUESTION NO: 8
In data visualization, what is used to focus the audience on a key part of a chart?
A. Emphasis colors
B. Detailed text
C. Pastel colors
D. A data table
Answer: A
QUESTION NO: 4
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.
A. Naïve Bayesian classifier
B. Linear regression
C. Logistic regression
D. K-means clustering
Answer: A
QUESTION NO: 1
You are using MADlib for Linear Regression analysis. Which value does the statement return?
SELECT (linregr(depvar, indepvar)).r2 FROM zeta1;
A. Goodness of fit
B. Coefficients
C. Standard error
D. P-value
Answer: A
QUESTION NO: 2
Which data asset is an example of quasi-structured data?
A. Webserver log
B. XML data file
C. Database table
D. News article
Answer: A
QUESTION NO: 5
In which lifecycle stage are test and training data sets created?
A. Model building
B. Model planning
C. Discovery
D. Data preparation
Answer: A
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