DELL EMC D-DS-FN-23 시험

Question No : 1

Which component of a final presentation focuses on how to deploy the model?

• A.Recommendations
• B.Approach
• C.Project goals
• D.Executive summary

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Question No : 2

An IT department deployed a spam filter to reduce the amount of junk e-mail received by its employees. After six months, they notice that the spam filter is less effective than when initially deployed.
They examine the system running the spam filter and it appears to be operating normally.
What action would improve the effectiveness of the spam filter?

• A.Add more processing power to the spam filtering system
• B.Add more storage to the spam filtering system
• C.Create a linear regression model to calculate the probability of an email being spam
• D.Retrain the spam filter with newer examples of spam emails

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Question No : 3

In addition to quantitative and technical skills, what is a key aspect of the profile of a data scientist?

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

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Question No : 4

You have been assigned to run a linear regression model for each of 5, 000 distinct districts, 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.R
• D.HBase

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Question No : 5

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

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Question No : 6

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?

• A.X is completely uncorrelated with the outcome
• B.X is more correlated with the outcome than any of the other variables
• C.X is strongly correlated with the outcome for a subset of the data
• D.X takes on only one value for most of the training data

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Question No : 7

Refer to the exhibit.



You are assigned to do an end of the year sales analysis of 1, 000 different products, based on the transaction table.
Which column in the end of year report requires the use of a window function?

• A.Total Sales to Date
• B.Daily Sales
• C.Average Daily Price
• D.Maximum Price

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Question No : 8

What provides the means for matching and manipulating text strings in SQL?

• A.PACF
• B.Association rules
• C.Regular expressions
• D.TF-IDF

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Question No : 9

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 tabluated them as shown in the exhibit.
What are the Precision and Recall rate of the model?

• A.Precision = 262/277 Recall = 262/288
• B.Precision =262/288 Recall = 262/277
• C.Precision = 277/262 Recall = 288/262
• D.Precision = 288/262 Recall = 277/262

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Question No : 10

Which visualization technique should be avoided?

• A.Using a small number of contrasting colors to draw distinctions
• B.Using visuals to illustrate key points
• C.Using 3-dimensional charts
• D.Achieving a high data-ink ratio

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Question No : 11

What should be subtracted to remove a simple linear trend from a time series?

• A.Least-squares-fit line
• B.Expected squared deviation
• C.Expected absolute deviation
• D.Cubic-spline

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Question No : 12

Refer to the graphic.



How would you run the MADlib kmeans function?

• A.INSERT INTO madlib.kmeans(‘km_sample’, ‘coords’, … );
• B../madlib kmeans run Cparallel Csource “km_sample.coords” …
• C.UPDATE madlib.kmeans SET centroids = madlib.kmeans(‘km_sample’, ‘coords’, … );
• D.SELECT * FROM madlib.kmeans(‘km_sample’, ‘coords’, … );

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Question No : 13

Based on the graphic, what should be done to begin addressing chart junk?

• A.Remove the vertical gridlines
• B.Remove the legend
• C.Reduce the font size in the axis

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Question No : 14

Refer to the exhibit.



What is the approximate R-squared value for a linear regression model fitted to the data associated with this scatterplot?

• A.0.01
• B.0.96
• C.4
• D.16

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Question No : 15

What describes the data repository represented by the 'A' in MAD?

• A.Attracts all data sources that occur within an organization, regardless of data quality
• B.Allows analysts to easily ingest, digest, produce, and adapt data at a rapid pace
• C.Centrally managed and based on long-range, careful design, planning and governance
• D.Enables analysts to study very large datasets without being limited to samples and extracts

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