2024 DELL EMC D-DS-FN-23 Exam Dumps Questions

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August 7, 2024

DELL EMC certification is a highly valuable and sought-after certification for IT professionals seeking to enhance their knowledge and expertise. D-DS-FN-23 exam is specifically designed to validate the skills required to configure and maintain the Dell Data Science platform, which is widely used by businesses around the world. These D-DS-FN-23 exam dumps questions are specifically designed to help you prepare for the exam by testing your knowledge and providing you with valuable insights into the types of questions that you will encounter. Test free DELL EMC D-DS-FN-23 exam questions below.

Page 1 of 9

1. Only three variables―A, B, and C―have significant correlation with sales

You build a linear regression model on the dependent variable of sales with the independent variables of A, B, and C. The results of the regression are seen in the exhibit.

Which interpretation is supported by the analysis?

Variables A, B, and C are significantly impacting sales, but are not effectively estimating sales

Variables A, B, and C are significantly impacting sales and are effectively estimating sales

Due to the R2 of 0.10, the model is not valid C the linear regression should be rerun with all 15 variables forced into the model to increase the R2

Due to the R2 of 0.10, the model is not valid C a different analytical model should be attempted

2. Which activity is performed in the Operationalize phase of the data analytics lifecycle?

Try different variables

Try different analytical techniques

Assess the benefits

Transform existing variables

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

Stemming

Parsing

Digitizing

Sorting

4. You submit a Map Reduce job to a Hadoop cluster. However, you notice that although the job was successfully submitted, it is not completing.

What should be done to identify the issue?

Ensure TaskTracker is running

Ensure JobTracker is running

Ensure NameNode is running

Ensure DataNode is running

5. Which function shown in the exhibit is used to calculate the sample variance?

6. Which word or phrase completes the statement? Unix is to bash as Hadoop is to:

Pig

HDFS

Sqoop

NameNode

7. Refer to the exhibit.

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

0.01

0.96

8. To ensure a successful analytic project, which key role can consult and advise the project team on the value of end results and how these will be used on a daily basis?

Business User

Project Manager

Data Scientist

Business Intelligence Analyst

9. The web analytics team uses Hadoop to process access logs. They now want to correlate this data with structured user data residing in their massively parallel database.

Which tool should they use to export the structured data from Hadoop?

Sqoop

Pig

Chukwa

Scribe

10. Refer to the exhibit.

The graph represents an ROC space with four classifiers labelled A through D.

Which point in the graph represents a perfect classification?

Page 2 of 9

11. A data scientist is given an R data frame, “empdata”, with the columns Age, Salary, Occupation, Education, and Gender. The data scientist would like 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?

empdata[empdata$Age > 40, c("Salary", "Occupation")]

empdata[c("Salary", "Occupation"), empdata$Age > 40]

empdata[Age > 40, ("Salary", "Occupation")]

empdata[, c("Salary", "Occupation")]$Age > 40

12. In data visualization, what is used to focus the audience on a key part of a chart?

Emphasis colors

Detailed text

Pastel colors

A data table

13. 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?

Logistic Regression

Linear Regression

Discriminant Analysis

Association Rules

14. A data scientist is preparing a presentation for a meeting with the project’s business sponsors. The distribution of per-sale revenue is an important finding from the analysis. The graphics illustrate four ways to plot the per-sale revenue distribution..”

Which graphic is most appropriate for the sponsor presentation?

Figure A

Figure B

Figure C

Figure D

15. In a Logistic Regression, the coefficient for “age” equals -3.

What is the correct interpretation of the Logistic Regression coefficient, holding all other variables constant?

When age decreases by 3 units, the odds of response are multiplied by e(-3) or 0.05

When age increases by 1 unit, the odds of response are multiplied by e(-3) or 0.05

For every 1 unit increase in age, the dependent variable is multiplied by -3

For every 1 unit increase in age, the dependent variable is reduced by 3 units

16. You submit a MapReduce job to a Hadoop cluster. Although the job was successfully submitted, you notice that it is not completing.

What should be done?

Ensure that a DataNode is running

Ensure that the TaskTracker is running

Ensure that the NameNode is running

Ensure that the JobTracker is running

17. What is required in a presentation for business analysts?

Budgetary considerations and requests

Operational process changes

Detailed statistical explanation of the applicable modeling theory

The presentation author's credentials

18. 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?

MADlib

Mahout

HBase

19. When would you use GROUP BY ROLLUP clause in your OLAP query?

where all subtotals and grand totals are to be included in the output

where only the subtotals are to be included in the output

where only the grand totals are to be included in the output

where only specific subtotals and grand totals for a combination of variables are to be included in the output

20. Data has been collected on visitors' viewing habits at a bank's website.

Which technique is used to identify pages commonly viewed during the same visit to the website?

Regression

Clustering

Classification

Association Rules

Page 3 of 9

21. Refer to the Exhibit.

In the Exhibit. For effective visualization, what is the chart's primary flaw?

The use of 3 dimensions.

The slanting of axis labels.

The location of the legend.

The order of the columns.

22. In which lifecycle stage are initial hypotheses formed?

Discovery

Model planning

Model building

Data preparation

23. Which word or phrase completes the statement; “A data scientist would consider a RDBMS is to a table as R is to a_____.”?

Data frame

List

Matrix

Array

24. Refer to the exhibit

Consider the training data set shown in the exhibit.

What are the classification (Y = 0 or 1) and the probability of the classification for the tupleX(0, 0, 1) using Naive Bayesian classifier?

Classification Y = 1, Probability = 4/54

Classification Y = 0, Probability = 1/54

Classification Y = 1, Probability = 1/54

Classification Y = 0, Probability = 4/54

25. If your intention is to show trends over time, which chart type is the most appropriate way to depict the data?

Line chart

Bar chart

Stacked bar chart

Histogram

26. 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?

FPR = 15/262 FNR = 26/288

FPR = 26/288 FNR = 15/262

FPR = 262/15 FNR = 288/26

FPR = 288/26 FNR = 262/15

27. What does the R code z <- f[1:10, ] do?

Assigns the first 10 rows of f to the vector z

Assigns the 1st 10 columns of the 1st row of f to z

Assigns a sequence of values from 1 to 10 to z

Assigns the 1st 10 columns to z

28. You are analyzing data in order to build a classifier model. You discover non-linear data and discontinuities that will affect the model.

Which analytical method would you recommend?

Decision Trees

Logistic Regression

ARIMA

Linear Regression

29. Which assumption makes the Naïve Bayesian classifier different from the general Bayesian model?

Number of features cannot be greater than the number of records

Features of a class are conditionally independent of one another

All variables need to be numeric

Fewer features can be used with the Naïve Bayes classifier

30. Consider the following text:

"Aren't you glad that there are all these toys. Are you taking any for the children?"

What is the term frequency for the word are in the text with both case folding and a tokenizer applied to punctuation?

Page 4 of 9

31. A disk drive manufacturer has a defect rate of less than 1.0% with 98% confidence. A quality assurance team samples 1000 disk drives and finds 14 defective units.

Which action should the team recommend?

The manufacturing process should be inspected for problems.

A larger sample size should be taken to determine if the plant is functioning properly

A smaller sample size should be taken to determine if the plant is functioning properly

The manufacturing process is functioning properly and no further action is required.

32. Consider a scale that has five (5) values that range from “not important” to “very important”.

Which data classification best describes this data?

Ordinal

Nominal

Real

Ratio

33. What is a motivation for using a data analytics lifecycle?

Explores all possible approaches

Limits the amount of data needed

Guarantees a successful project

Creates a repeatable process

34. What are two data categories that represent quantitative data?

Ordinal and interval

Nominal and ratio

Nominal and ordinal

Ratio and interval

35. What requests resources from YARN during a MapReduce job?

Map and reduce tasks

ApplicationMaster

ApplicationsManager

DataNodes

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

Recommendations

Approach

Project goals

Executive summary

37. Which activity might be performed in the Operationalize phase of the Data Analytics Lifecycle?

Run a pilot

Try different analytical techniques

Try different variables

Transform existing variables

38. Refer to the exhibit.

What provides the decision tree for predicting whether or not someone is a good or bad credit risk.

What would be the assigned probability, p(good), of a single male with no known savings?

0.83

0.498

0.6

39. You need to run a hypothesis test across three normally distributed populations.

Which technique should you use?

Z-test

Welch's t-test

ANOVA

Wilcoxon rank sum test

40. Which SQL OLAP extension provides all possible grouping combinations?

CUBE

ROLLUP

UNION ALL

CROSS JOIN

Page 5 of 9

41. What is the difference between the array and list data structures in R?

Arrays contain only the same data type; Lists can contain different data types

Arrays are only 2-dimensional; Lists are N-dimensional

Arrays can contain different data types; Lists can contain only the same data type

Arrays are N-dimensional; Lists are only 2-dimensional

42. Which type of numeric value does a logistic regression model estimate?

Probability

A p-value

Any integer

Any real number

43. Which of the following is an example of quasi-structured data?

OLAP

OLTP

Customer record table

Clickstream data

44. Refer to the exhibit.

In the exhibit, a correlogram is provided based on an autocorrelation analysis of a sample dataset.

What can you conclude based only on this exhibit?

There appears to be no structure left to model in the data

There appears to be a seasonal component in the data

Lag 1 has a significant autocorrelation

There appears to be a cyclical component in the data

45. Which method is used to solve for coefficients b0, b1, .., bn in your linear regression model: Y = b0 + b1x1+b2x2+….+bnxn

Ordinary Least squares

Apriori Algorithm

Ridge and Lasso

Integer programming

46. In addition to less data movement and the ability to use larger datasets in calculations, what is a benefit of analytical calculations in a database?

quicker time to insight

more efficient handling of categorical values

improved connections between disparate data sources

full use of data aggregation functionality

47. During the data preparation phase, you notice a high correlation between average spend on video games, age of players, and number of science fiction shows watched.

Which technique could you use to address the three correlated variables?

Square the three variables to remove the correlation

Combine the three variables into one new variable

Drop the three variables to improve the model

Use scaling to make the three variables equivalent in size

48. What is the output of the K-means clustering algorithm?

Centroid positioning and entropy of each record in each cluster

Center of each discovered cluster and mapping of each record to a cluster

Two dimensional representation of the data and the clusters

Intercept and coefficients for each input variable in the dataset

49. In linear regression modeling, which action can be taken to improve the linearity of the relationship between the dependent and independent variables?

Apply a transformation to a variable

Use a different statistical package

Calculate the R-Squared value

Change the units of measurement on the independent variable

50. Refer to the exhibit.

In association rules, for itemsets X and Y, which expression defines leverage?

Page 6 of 9

51. 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?

In this model, Variable D is not significantly interacting with the dependent variable

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

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

Variable D is more significant than variables A, B, and

52. In addition to the business question and descriptions of available data sets, what else would an analytic plan include?

Existing solutions to the business question

Access credentials to database and/or Hadoop cluster

Initial hypotheses

Relevant statistical tests

53. While having a discussion with your colleague, this person mentions that they want to perform K-means clustering on text file data stored in HDFS.

Which tool would you recommend to this colleague?

Mahout

HBase

Scribe

Sqoop

54. A study was run to identify general dietary patterns among the residents of a small town. Twelve thousand people were surveyed and the data was subject to K-means clustering.

In one of the iterations, there were six clusters formed with 38, 1560, 1799, 2560, 2893, and 3150 respondents.

What should be the next step in identifying optimal clusters?

Add more categorical variables to the dataset to maximize the Within Sum of Squares (WSS) value for K=6

Determine the optimal number of clusters by plotting the Within Sum of Squares (WSS) values as a function of K

Remove 38 respondents because the 5 clusters seem to be well distributed

Multiply each variable by its standard deviation

55. What is an appropriate assignment for a data scientist?

Monitor key performance indicators

Define an OLAP database schema

Conduct customer surveys

Develop predictive models

56. Which ROC curve represents a perfect model fit?

A)

Exhibit A

Exhibit B

Exhibit C

Exhibit D

57. Which word or phrase completes the statement? Business Intelligence is to monitoring trends as Data Science is to ________ trends.

Predicting

Discarding

Driving

Optimizing

58. You are performing a market basket analysis using the Apriori algorithm.

Which measure is a ratio describing the how many more times two items are present together than would be expected if those two items are statistically independent?

Lift

Leverage

Support

Confidence

59. Which relationship holds for a confusion matrix?

Precision = 1 C False Positive Ratio

Recall = 1 C False Positive Ratio

Precision = 1 C False Negative Ratio

Recall = 1 C False Negative Ratio

60. You have been assigned to perform a study of the daily revenue effect of a pricing model of online transactions. All data currently available to you has been loaded into your analytics database. This includes revenue data, pricing data, and online transaction data.

You discover that all data comes in different levels of granularity. The transaction data has timestamps consisting of day, hour, minutes, and seconds. Pricing is stored at the daily level and revenue data is only reported monthly.

What is the next step?

Report back to the business owner that the current data model does not support the business question.

Interpolate a daily model for revenue from the monthly revenue data.

Aggregate all data to the monthly level in order to create a monthly revenue model.

Disregard revenue as the key reason in the pricing model and create a daily model based on pricing and transactions only.

Page 7 of 9

61. What is one modeling or descriptive statistical function in MADlib that is typically not provided in a standard relational database?

Linear regression

Expected value

Variance

Quantiles

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

Least-squares-fit line

Expected squared deviation

Expected absolute deviation

Cubic-spline

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

Attracts all data sources that occur within an organization, regardless of data quality

Allows analysts to easily ingest, digest, produce, and adapt data at a rapid pace

Centrally managed and based on long-range, careful design, planning and governance

Enables analysts to study very large datasets without being limited to samples and extracts

64. When is a Wilcoxon Rank-Sum test used?

When an assumption about the distribution of the populations cannot be made

When the data can be easily sorted

When the populations represent the sums of other values

When the data cannot be easily sorted

65. You are provided with the following list.

Which window function is missing?

cume_dist()

dense_rank()

rank()

percent_rank()

first_value()

last_value()

lag()

lead()

ntile()

row_preceding()

row_number()

median()

cumulative_sum()

66. 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?

MADlib

Mahout

RStudio

HBase

67. In R, functions like plot() and hist() are known as what?

generic functions

virtual methods

virtual functions

generic methods

68. What is a good use case for logistic regression?

Forecasting quarterly sales of a company

Predicting the income of a customer

Predicting the outcome of an election

Predicting home sales prices in a city

69. What describes a true property of Logistic Regression method?

It is robust with redundant variables and correlated variables.

It handles missing values well.

It works well with discrete variables that have many distinct values.

It works well with variables that affect the outcome in a discontinuous way.

70. What is a key consideration when preparing a presentation intended for sponsors?

Describe how current processes may be affected

Provide details on model planning and building

Describe how to implement the model

Emphasize the business benefits of implementing the model

Page 8 of 9

71. Which graphical representation shows the distribution and multiple summary statistics of a continuous variable for each value of a corresponding discrete variable?

box and whisker plot

dotplot

scatterplot

binplot

72. In time series analysis, what is an indication of a stationary sequence?

Decreasing trend

Increasing trend

Seasonality

Constant variance

73. Which functionality do regular expressions provide?

text pattern matching

underflow prevention

increased numerical precision

decreased processing complexity

74. What are categorized as data ingestion tools for Hadoop?

Spark, Tez, and Cassandra

Flume, Sqoop, and Storm

Ambari, Oozie, and Zookeeper

Drill, Hive, and HBase

75. In MADlib what does MAD stand for?

Magnetic, Agile, Deep

Machine Learning, Algorithms for Databases

Mathematical Algorithms for Databases

Modular, Accurate, Dependable

76. Which word or phrase completes the statement? A Data Scientist would consider that a RDBMS is to a Table as R is to a ________.

Data frame

List

Matrix

Array

77. What tasks need to be completed when designing an analytic sandbox?

Discuss with business experts the best ways to join different datasets

Estimate the size of the dataset and plan for 5-10 times the size

Define the hardware and Hadoop network requirements

Establish the database tables for extract, translate, and load

78. In time series analysis, what function is examined to identify the order of the moving average component of an ARIMA model?

Exponential function

Arithmetic mean function

Autocorrelation function

Geometric mean function

79. Which word or phrase completes the statement; “Discovering relationships is to Association Rules as generating forecasts is to __________.”?

Clustering

Classification

Text Analysis

Time Series Analysis

80. 1.In a decision tree, what is an example of a pure node?

25 positives; 75 negatives

50 positives; 50 negatives

75 positives; 25 negatives

100 positives; 0 negatives

Page 9 of 9

81. Review the following code:

SELECT pn, vn, sum(prc*qty) FROM sale

GROUP BY CUBE(pn, vn) ORDER BY 1, 2, 3;

Which combination of subtotals do you expect to be returned by the query?

(pn, vn)

( (pn, vn), (pn) )

( (pn, vn) , (pn), (vn) )

( (pn, vn) , (pn), (vn) , ( ) )

82. Which word or phrase completes the statement? Structured data is to OLAP data as quasi- structured data is to

Clickstream data

XML data

Text documents

Image files

83. In which lifecycle stage are appropriate analytical techniques determined?

Model planning

Model building

Data preparation

Discovery

84. Which data asset is an example of quasi-structured data?

Webserver log

XML data file

Database table

News article

85. Which word or phrase completes the statement? Emphasis color is to standard color as _______.

Main message is to context

Main message is to key findings

Frequent item set is to item

Pie chart is to proportions

86. If R factors are categorical variables, which data classification level are they most closely related?

Nominal

Ordinal

Interval

Ratio

87. You are assigned the task of creating customer profiles for your company. In your database, you have 25 key input variables that come together to define 2,500 customers. You decide to run a K-means cluster analysis on the 25 input variables based on k=4 to build your profiles.

Your analysis resulted in four cluster populations:

Cluster A=1,000 customers

Cluster B=560 customers

Cluster C=925 customers

Cluster D=15 customers

What should be attempted first to more evenly distribute the customer population across clusters?

Reduce K from 4 to 3

Remove the 15 customers in Cluster D from the population

Remove some of the input variables from the analysis

Increase K from 4 to 5

88. You have been assigned to perform a study of the daily revenue effect of a pricing model of online transactions. All the data currently available has been loaded into an analytics database.

This data includes revenue data, pricing data, and online transaction data. You have completed a thorough univariate analysis of all data and have decided that there are three different models you want to test. Preliminary results show that all models have equally effective results.

What is the next step?

Develop all three models and perform model selection in the next step of the process

Select the model that demonstrates the most sophisticated technique and accuracy

Identify which model the business owner wants and proceed with that model

Prioritize models by complexity and feasibility, and proceed with the most feasible

89. What is a consideration when building decision trees?

Cannot handle variables that affect the outcome in a discontinuous way

Short decision trees are likely subject to overfit

Correlated variables can cause double-counting

Tree structure is sensitive to small changes in the training data

90. Which statement about linear regression is correct?

All input variables must be continuous

All input variables must be discrete

Outcome variable is discrete

Outcome variable is continuous

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