[Q185-Q199] Full D-DS-FN-23 Practice Test and 358 unique questions with explanations waiting just for you!

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Full D-DS-FN-23 Practice Test and 358 unique questions with explanations waiting just for you!

Dell Data Science Dumps D-DS-FN-23 Exam for Full Questions – Exam Study Guide

EMC D-DS-FN-23 Exam Syllabus Topics:

Topic Details
Topic 1
  • Operationalizing an Analytics Project and Data Visualization Techniques: This section of the exam measures the skills of an Entry-Level Data Analyst and explains best practices for communicating findings and operationalizing analytics projects. It covers effective methods for presenting projects to various audiences and emphasizes the importance of planning and creating impactful data visualizations.
Topic 2
  • Big Data, Analytics, and the Data Scientist Role: This section of the exam measures the skills of a Data Science Enthusiast and covers the basic concepts of Big Data, including its defining characteristics and the business drivers behind its rise. It also introduces the role of the Data Scientist, highlighting the critical skills needed in the data science field.
Topic 3
  • Initial Analysis of the Data: This section of the exam measures the skills of a Data Science Enthusiast and focuses on the first steps in analyzing data. It explains how basic R commands are used for exploration, discusses important statistical measures and visualizations, and describes hypothesis testing techniques for evaluating models.
Topic 4
  • Data Analytics Lifecycle: This section of the exam measures the skills of an Entry-Level Data Analyst and explains the purpose and phases of the data analytics lifecycle. It includes understanding key activities and roles involved in the discovery, data preparation, model planning, and model building phases to successfully manage analytics projects.

 

QUESTION 185
Refer to the exhibit.

You have run a linear regression model against your data, and have plotted true outcome versus predicted outcome. The R-squared of your model is 0.75.
What is your assessment of the model?

 
 
 
 

QUESTION 186
Refer to the Exhibit.

You are working on creating an OLAP query that outputs several rows of with summary rows of subtotals and grand totals in addition to regular rows that may contain NULL as shown in the exhibit.
Which function can you use in your query to distinguish the row from a regular row to a subtotal row?

 
 
 
 

QUESTION 187
Refer to the exhibit.

The exhibit shows four graphs labeled as Fig A thorough Fig D.
Which figure represents the entropy function relative to a Boolean classification and is represented by the formula shown in Exhibit?

 
 
 
 

QUESTION 188
Refer to the exhibit.

You have run a linear regression model against your data, and have plotted true outcome versus predicted outcome. The R-squared of your model is 0.75.
What is your assessment of the model?

 
 
 
 

QUESTION 189
You are analyzing a time series and want to determine its stationarity. You also want to determine the order of autoregressive models.
How are the autocorrelation functions used?

 
 
 
 

QUESTION 190
Which activity might be performed in the Operationalize phase of the Data Analytics Lifecycle?

 
 
 
 

QUESTION 191
Which phase of the data analytic lifecycle includes conducting project sponsor interviews and drafting a problem statement?

 
 
 
 

QUESTION 192
You are using a Logistic Regression model to determine if an applicant’s gender is a factor in determining whether or not they receive a bank loan. When you plot the results, you notice that the regression coefficient is zero.
What can be determined?

 
 
 
 

QUESTION 193
You have the data from a popular e-commerce website. You are exploring the time spent (in seconds) on the website by 100,000 customers across 14 different product categories.
What visualization can be used to represent the relationship between time spent and product category?

 
 
 
 

QUESTION 194
Which visualization technique should be avoided?

 
 
 
 

QUESTION 195
In addition to quantitative and technical skills, what is a key aspect of the profile of a data scientist?

 
 
 
 

QUESTION 196
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?

 
 
 
 

QUESTION 197
You are having a discussion with a business colleague. The colleague mentions that they want to perform K-means clustering on text file data stored in HDFS.
Which tool should be recommended?

 
 
 
 

QUESTION 198
You have the following corpus of texts:
“The cat hit the dog.”
“The dog bit the mail carrier.”
“The mail carrier chased the truck.”
“The truck hit the wall while avoiding the dog that chased the cat.”
“The cat climbed the wall.”
If the tf-idf metric is used to score relevance for search and retrieval, which term has the highest discriminatory power?

 
 
 
 

QUESTION 199
You are testing two new weight-gain formulas for puppies. The test gives the results: Control group: 1% weight gain Formula A. 3% weight gain Formula B. 4% weight gain A one-way ANOVA returns a p-value = 0.027
What can you conclude?

 
 
 
 

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