DELL TECHNOLOGIES

Dell Data Science Foundations

DATA-SCIENCE-FOUNDATIONS

The Dell Data Science Foundations certification validates your understanding of the data analytics lifecycle, from framing business drivers and exploring data with R to applying advanced analytics methods and operationalizing results. It is designed for systems engineers and technical consultants who support data science initiatives. Earning it demonstrates that you can speak the language of data science and contribute to analytics projects with confidence.

Practice Free Questions

6Domains

27Objectives

150Practice pages

695Free questions

DATA-SCIENCE-FOUNDATIONS free practice questions

Choose any objective and open any question page — no sign-in required.

Define and describe the characteristics of Big Data

18 questions · 4 pages

Questions 1–5 6–10 11–15 16–18

Describe the business drivers for Big Data analytics and data science

26 questions · 6 pages

Questions 1–5 6–10 11–15 16–20 21–25 26–26

Describe the data analytics lifecycle purpose and sequence of phases

26 questions · 6 pages

Questions 1–5 6–10 11–15 16–20 21–25 26–26

Discovery - Describe details of this phase, including activities and associated roles

27 questions · 6 pages

Questions 1–5 6–10 11–15 16–20 21–25 26–27

Data preparation - Describe details of this phase, including activities and associated roles

19 questions · 4 pages

Questions 1–5 6–10 11–15 16–19

Model planning - Describe details of this phase, including activities and associated roles

28 questions · 6 pages

Questions 1–5 6–10 11–15 16–20 21–25 26–28

Model building - Describe details of this phase, including activities and associated roles

20 questions · 4 pages

Questions 1–5 6–10 11–15 16–20

Explain how basic R commands are used to initially explore and analyze the data

24 questions · 5 pages

Questions 1–5 6–10 11–15 16–20 21–24

Describe and provide examples of the most important statistical measures and effective visualizations of data

26 questions · 6 pages

Questions 1–5 6–10 11–15 16–20 21–25 26–26

Describe the theory, process, and analysis of results for hypothesis testing and its use in evaluating a model

15 questions · 3 pages

Questions 1–5 6–10 11–15

K-means clustering

28 questions · 6 pages

Questions 1–5 6–10 11–15 16–20 21–25 26–28

Association rules

18 questions · 4 pages

Questions 1–5 6–10 11–15 16–18

Linear regression

32 questions · 7 pages

Questions 1–5 6–10 11–15 16–20 21–25 26–30 31–32

Logistic Regression

25 questions · 5 pages

Questions 1–5 6–10 11–15 16–20 21–25

Nave Bayesian classifiers

25 questions · 5 pages

Questions 1–5 6–10 11–15 16–20 21–25

Decision trees

23 questions · 5 pages

Questions 1–5 6–10 11–15 16–20 21–23

Time Series Analysis

26 questions · 6 pages

Questions 1–5 6–10 11–15 16–20 21–25 26–26

Text Analytics

29 questions · 6 pages

Questions 1–5 6–10 11–15 16–20 21–25 26–29

Describe the technological challenges posed by Big Data

41 questions · 9 pages

Questions 1–5 6–10 11–15 16–20 21–25 26–30 31–35 36–40 41–41

Describe the nature and use of MapReduce and Apache Hadoop

29 questions · 6 pages

Questions 1–5 6–10 11–15 16–20 21–25 26–29

Describe in-database analytics and SQL essentials

18 questions · 4 pages

Questions 1–5 6–10 11–15 16–18

Describe advanced SQL methods: window functions, ordered aggregates, and MADlib

22 questions · 5 pages

Questions 1–5 6–10 11–15 16–20 21–22

Describe best practices for communicating findings and operationalizing an analytics project

23 questions · 5 pages

Questions 1–5 6–10 11–15 16–20 21–23

Describe best practices for building project presentations for specific audiences

28 questions · 6 pages

Questions 1–5 6–10 11–15 16–20 21–25 26–28

Describe best practices for planning and creating effective data visualizations

24 questions · 5 pages

Questions 1–5 6–10 11–15 16–20 21–24

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Percentages reflect share of the current practice bank, not official exam weightings. Every page above is a live, crawlable practice page (27 objectives · 150 pages).

Dell Data Science Foundations

DATA-SCIENCE-FOUNDATIONS free practice questions

Domain 1 · Big Data, Analytics, and the Data Scientist Role10% of practice bank · 3 objectives · 68 questions10%

Domain 2 · Data Analytics Lifecycle17% of practice bank · 5 objectives · 120 questions17%

Domain 3 · Initial Analysis of the Data9% of practice bank · 3 objectives · 65 questions9%

Domain 4 · Advanced Analytics - Theory, Application, and Interpretation of Results for Eight Methods30% of practice bank · 8 objectives · 206 questions30%

Domain 5 · Advanced Analytics for Big Data - Technology and Tools23% of practice bank · 5 objectives · 161 questions23%

Domain 6 · Operationalizing an Analytics Project and Data Visualization Techniques11% of practice bank · 3 objectives · 75 questions11%