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WGU D204 DATA ANALYTICS FINAL EXAM 2 VERSIONS 500 QUESTIONS AND ANSWERS ALREADY GRADED A+ .
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WGU D204 DATA ANALYTICS FINAL EXAM 2 VERSIONS 500 QUESTIONS AND ANSWERS ALREADY GRADED A+ . VERSION A 1. Data scientists are able to find order, meaning, value in Unstructured data as well as: a. Automate processes b. Predict outcomes c. Predict processes d. Provide hidden insight ...

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  • October 27, 2024
  • 63
  • 2024/2025
  • Exam (elaborations)
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WGU D204 DATA ANALYTICS FINAL EXAM 2
VERSIONS 500 QUESTIONS AND ANSWERS
ALREADY GRADED A+ 2024 2025.


VERSION A

1. Data scientists are able to find order, meaning, value in Unstructured data as well as:
a. Automate processes
b. Predict outcomes
c. Predict processes
d. Provide hidden insight - ANSWERABD

2. Data scientists are able to find in Unstructured data.
a. Meaning
b. Order
c. Outcomes
d. Value - ANSWERABD

3. Data science are able to find order, meaning, value in .
a. Hidden insight
b. Outcomes
c. Processes
d. Unstructured data - ANSWERD

4. Data science includes the following components:
a. Computer programming
b. Math and stats
c. Substantive expertise
d. Tropical domain expertise - ANSWERABC

5. Programming languages that are very frequently used for data manipulation and
modeling:
a. C/C++

,b. Java
c. Python
d. R - ANSWERCD

6. When should Python or R be used for programming?
a. Back end
b. Data manipulation
c. Data modeling
d. General-purpose - ANSWERBC

7. General-Purposes languages, used for back end and provide maximum speed:
a. C/C++
b. Java
c. Python
d. R - ANSWERAB

8. When should C/C++ or Java be used for programming?
a. Back end
b. Data manipulation
c. Data modeling
d. Provide maximum speed - ANSWERAD

9. What defines back end?
a. Foundational elements of computer programming
b. Foundational elements of data analytics
c. Foundational elements of data modeling
d. Foundational elements of data science - ANSWERD

10. Language for working with relational databases to do queries and data
manipulation:
a. Excel
b. SQL
c. Tableau
d. TensorFlow - ANSWERB

11. What does SQL stand for?
a. Standard query language
b. Standard question language
c. Structured query language
d. Structured question language - ANSWERC

12. When should SQL be used?
a. Data manipulation
b. Data modeling
c. Data queries
d. Working with relational database - ANSWERACD

,13. Packages that can be used in other languages:
a. C/C++
b. Java
c. Python
d. TensorFlow - ANSWERD

14. Example of an open-source library
a. C/C++
b. Python
c. R
d. TensorFlow - ANSWERD

15. When should TensorFlow be used?
a. Backend
b. Data manipulation
c. Data queries
d. Deep learning - ANSWERD

16. Forms of mathematics help you:
a. Choose procedures
b. Diagnose problems
c. Pinpoint causes
d. Solve coding issues - ANSWERAB

17. When choosing procedures, judge the fit between your:
a. Application
b. Data
c. Procedure
d. Question - ANSWERBCD

18. Which is the first and most important thing in judging a fit for choosing procedures?
a. Your application
b. Your data
c. Your procedure
d. Your question - ANSWERD

19. What must be available to you in judging a fit for choosing procedures?
a. Application
b. Data
c. Procedure
d. Question - ANSWERB

20. You choose a procedure that answers
a. Your data based on your question
b. Your procedure based on your question

, c. Your question based on your skillsets
d. Your questions based on your data - ANSWERD

21. If you understand mathematics and how it works, you'll be able to make a
a. Much better and more informed choice
b. Much better and more informed question
c. Much better but uniformed question
d. Much better but uninformed choice - ANSWERA

22. When diagnosing problems, know what to do when:
a. Given impossible results
b. Procedures fail
c. Programs malfunctions
d. Revenue decreases - ANSWERAB

23. In substantive expertise, each domain has its own:
a. Constraints
b. Goals
c. Methods
d. Procedures - ANSWERABC

24. What is the right order for Data Analytics Lifecycle?
a. Business Understanding, data acquisition, data cleaning, data exploration, predictive
modeling, data mining/machine learning, reporting and visualization
b. Business Understanding, data acquisition, data exploration, predictive modeling, data
cleaning, data mining/machine learning, reporting and visualization
c. Business Understanding, data cleaning, data acquisition, data exploration, predictive
modeling, data mining/machine learning, reporting and visualization
d. Business Understanding, data exploration, data cleaning, data acquisition, predictive
modeling, data mining/machine learning, reporting and visualization - ANSWERA

25. You are an analyst who given data, what are your first two steps in Data Analytics
Lifecycle?
a. Business Understanding
b. Modeling
c. Planning
d. Predictive Modeling - ANSWERAD

26. You are an analyst who given data, what are your first two steps in Data Science
Pathway?
a. Business Understanding
b. Modeling
c. Planning
d. Predictive Modeling - ANSWERBC

27. Which phase is also known as the discovery phase?

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