Easy To Download EMC D-DS-FN-23 Exam Dumps Updated 300 Questions [Q110-Q130]

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Easy To Download EMC D-DS-FN-23 Exam Dumps Updated 300 Questions

New Updated D-DS-FN-23 Exam Questions 2024

NEW QUESTION 110
You have been assigned to perform a study of the daily revenue effect of a pricing model of online transactions. When is the analytics lifecycle considered completed?

When written documentation has been produced and the code has been handed off to the DBA/operations.

When a model has been completely developed and the results have shown statistically acceptable results.

When the results of the model have been presented to both the internal analytics team and the business owner of the project.

When a model has been completely developed based on both a sample of the data and the entire set of data available.

NEW QUESTION 111
Refer to the exhibit.

Click on the calculator icon in the upper left corner. You are going into a meeting where you know your manager will have a question on your dataset — specifically relating to customers that are classified as renters with good credit status.
In order to prepare for the meeting, you create a rule: RENTER => GOOD CREDIT.
What is the confidence of the rule?

63%

41%

18%

73%

NEW QUESTION 112
Refer to the exhibit.

You are building a decision tree. In this exhibit, four variables are listed with their respective values of info-gain.
Based on this information, on which attribute would you expect the next split to be in the decision tree?

Credit Score

Age

Income

Gender

NEW QUESTION 113
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

NEW QUESTION 114
You have created a scatter plot using R from household income and education data as shown in the graphic.

What can be done to improve the visualization?

Recreate the plot with a Bar plot

Add a Box and Whisker overlay to the plot

Add a rug to the plot

Recreate the plot with a hexbin plot

NEW QUESTION 115
You are asked to create a model to predict the total number of monthly subscribers for a specific magazine. You are provided with 1 year’s worth of subscription and payment data, user demographic data, and 10 years worth of content of the magazine (articles and pictures).
Which algorithm is the most appropriate for building a predictive model for subscribers?

Linear regression

Logistic regression

Decision trees

TF-IDF

NEW QUESTION 116
Trend, seasonal, and cyclical are components of a time series.
What is another component?

Irregular

Linear

Quadratic

Exponential

NEW QUESTION 117
Refer to the exhibit.

After analyzing a dataset, you report findings to your team:
1. Variables A and C are significantly and positively impacting the dependent variable.
2. Variable B is significantly and negatively impacting the dependent variable.
3. Variable D is not significantly impacting the dependent variable.
After seeing your findings, the majority of your team agreed that variable B should be positively impacting the dependent variable.
What is a possible reason the coefficient for variable B was negative and not positive?

Variable B is interacting with another variable due to correlated inputs

Variable B needs a quadratic transformation due to its relationship to the dependent variable

The information gain from variable B is already provided by another variable

Variable B needs a logarithmic transformation due to its relationship to the dependent variable

NEW QUESTION 118
The average purchase size from your online sales site is $17, 200. The customer experience team believes a certain adjustment of the website will increase sales.
A pilot study on a few hundred customers showed an increase in average purchase size of $1.47, with a significance level of p=0.1. The team runs a larger study, of a few thousand customers.
The second study shows an increased average purchase size of $0.74, with a significance level of 0.03.
What is your assessment of this study?

The change in purchase size is not practically important, and the good p-value of the second study is probably a result of the large study size.

The change in purchase size is small, but may aggregate up to a large increase in profits over the entire customer base.

The difference in the change in purchase size between the two studies is troubling; The team should run another, larger study.

The p-value of the second study shows a statistically significant change in purchase size. The new website is an improvement.

NEW QUESTION 119
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

NEW QUESTION 120
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 a strong background in data flow languages and programming.
Which query interface would you recommend?

Pig

Hive

Howl

HBase

NEW QUESTION 121
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?

X is completely uncorrelated with the outcome

X is more correlated with the outcome than any of the other variables

X is strongly correlated with the outcome for a subset of the data

X takes on only one value for most of the training data

NEW QUESTION 122
What is an appropriate data visualization to use in a presentation to a project sponsor?

Bar Chart

Pie Chart

Box and Whisker Plot

Density Plot

NEW QUESTION 123
Refer to the exhibit.

You have plotted the distribution of savings account sizes for your bank.
How would you proceed, based on this distribution?

The data is extremely skewed. Replot the data on a logarithmic scale to get a better sense of it.

The data is extremely skewed, but looks bimodal; replot the data in the range 2, 500-10, 000 to be sure.

The accounts of size greater than 2500 are rare, and probably outliers. Eliminate them from your future analysis.

The data is extremely skewed. Splityour analysis into two cohorts: accountsless than 2500, and accounts greater than 2500

NEW QUESTION 124
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

NEW QUESTION 125
Which word or phrase completes the statement; “Adata scientist would consider a RDBMS is to a table as R is to a_____.”?

Data frame

List

Matrix

Array

NEW QUESTION 126
In linear regression, what indicates that an estimated coefficient is significantly different than zero?

A small p-value

R-squared near 1

R-squared near 0

The estimated coefficient is greater than 3

NEW QUESTION 127
Which data asset is an example of semi-structured data?

XML data file

Database table

Webserver log

News article

NEW QUESTION 128
In a fitted ARIMA(1,2,3) model, how many differences are applied?

NEW QUESTION 129
In the Map Reduce framework, what is the purpose of the Map Function?

It processes the input and generates key-value pairs

It collects the output of the Reduce function

It sorts the results of the Reduce function

It breaks the input into smaller components and distributes to other nodes in the cluster

NEW QUESTION 130
Refer to exhibit.

You are asked to write a report on how specific variables impact your client’s sales using a data set provided to you by the client. The data includes 15 variables that the client views as directly related to sales, and you are restricted to these variables only.
After a preliminary analysis of the data, the following findings were made:
1. Multicollinearity is not an issue among the variables
2. 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. You cannot request additional data.
What is a way that you could try to increase the R2 of the model without artificially inflating it?

Create clusters based on the data and use them as model inputs

Force all 15 variables into the model as independent variables

Create interaction variables based only on variables A, B, and C

Break variables A, B, and C into their own univariate models

Updated Free EMC D-DS-FN-23 Test Engine Questions with 300 Q&As: https://www.dumpstests.com/D-DS-FN-23-latest-test-dumps.html

Easy To Download EMC D-DS-FN-23 Exam Dumps Updated 300 Questions [Q110-Q130]

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