CERTNEXUS

CertNexus Certified Data Science Practitioner (CDSP)

CERTIFIED-DATA-SCIENCE-PRACTITIONER

The CertNexus Certified Data Science Practitioner (CDSP) certification validates your ability to answer real-world questions by collecting, wrangling, and exploring data sets, then applying statistical models and AI algorithms to extract and communicate actionable insights. Designed for professionals across industries, it proves you can define the right question, perform ETL, build and test predictive models, and deliver findings that drive decisions.

Practice Free Questions

7Domains

26Objectives

178Practice pages

841Free questions

CERTIFIED-DATA-SCIENCE-PRACTITIONER free practice questions

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

Objective 1.1 Identify the project scope

22 questions · 5 pages

Questions 1–5 6–10 11–15 16–20 21–22

Objective 1.2 Understand challenges

40 questions · 8 pages

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

Objective 1.3 Classify a question into a known data science problem

45 questions · 9 pages

Questions 1–5 6–10 11–15 16–20 21–25 26–30 31–35 36–40 41–45

Objective 2.1 Gather data sets

39 questions · 8 pages

Questions 1–5 6–10 11–15 16–20 21–25 26–30 31–35 36–39

Objective 2.2 Clean data sets

51 questions · 11 pages

Questions 1–5 6–10 11–15 16–20 21–25 26–30 31–35 36–40 41–45 46–50 51–51

Objective 2.3 Merge and load data sets

18 questions · 4 pages

Questions 1–5 6–10 11–15 16–18

Objective 2.4 Apply problem-specific transformations to data sets

23 questions · 5 pages

Questions 1–5 6–10 11–15 16–20 21–23

Objective 3.1 Examine data

28 questions · 6 pages

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

Objective 3.2 Preprocess data

26 questions · 6 pages

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

Objective 3.3 Carry out feature engineering

54 questions · 11 pages

Questions 1–5 6–10 11–15 16–20 21–25 26–30 31–35 36–40 41–45 46–50 51–54

Objective 4.1 Prepare data sets for modeling

26 questions · 6 pages

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

Objective 4.2 Train models

43 questions · 9 pages

Questions 1–5 6–10 11–15 16–20 21–25 26–30 31–35 36–40 41–43

Objective 4.3 Evaluate models

30 questions · 6 pages

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

Design A/B tests

27 questions · 6 pages

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

Experimental design

26 questions · 6 pages

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

Design use cases

28 questions · 6 pages

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

Test creation

25 questions · 5 pages

Questions 1–5 6–10 11–15 16–20 21–25

Statistics

24 questions · 5 pages

Questions 1–5 6–10 11–15 16–20 21–24

Define success criteria for test

23 questions · 5 pages

Questions 1–5 6–10 11–15 16–20 21–23

Evaluate test results

20 questions · 4 pages

Questions 1–5 6–10 11–15 16–20

Build and Automate Pipelines

39 questions · 8 pages

Questions 1–5 6–10 11–15 16–20 21–25 26–30 31–35 36–39

Deploy and Manage Models

36 questions · 8 pages

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

Monitor and Ensure Operational Performance

30 questions · 6 pages

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

Secure and Govern Data and Access

21 questions · 5 pages

Questions 1–5 6–10 11–15 16–20 21–21

Objective 7.1 Report findings

64 questions · 13 pages

Questions 1–5 6–10 11–15 16–20 21–25 26–30 31–35 36–40 41–45 46–50 51–55 56–60 61–64

Objective 7.2 Democratize data

33 questions · 7 pages

Questions 1–5 6–10 11–15 16–20 21–25 26–30 31–33

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Continue Free Practice

Percentages reflect share of the current practice bank, not official exam weightings. Every page above is a live, crawlable practice page (26 objectives · 178 pages).

CertNexus Certified Data Science Practitioner (CDSP)

CERTIFIED-DATA-SCIENCE-PRACTITIONER free practice questions

Domain 1 · 1.0 Defining the need to be addressed through the application of data science13% of practice bank · 3 objectives · 107 questions13%

Domain 2 · 2.0 Extracting, Transforming, and Loading Data16% of practice bank · 4 objectives · 131 questions16%

Domain 3 · 3.0 Performing exploratory data analysis13% of practice bank · 3 objectives · 108 questions13%

Domain 4 · 4.0 Building models12% of practice bank · 3 objectives · 99 questions12%

Domain 5 · 5.0 Testing models21% of practice bank · 7 objectives · 173 questions21%

Domain 6 · 6.0 Operationalizing the pipeline15% of practice bank · 4 objectives · 126 questions15%

Domain 7 · 7.0 Communication findings12% of practice bank · 2 objectives · 97 questions12%