MCQs Big Data Quiz 4

Looking to test your Big Data knowledge? Check out these top MCQs Big Data Quiz Questions and Answers for 2025! Perfect for students, professionals, and enthusiasts to assess their understanding of key concepts like Hadoop, Spark, and the 5 Vs and 5 Ps of Big Data. Let us Start the MCQs Big Data Quiz Questions now.

Online MCQs Big Data Quiz with Answers

Online MCQs Big Data Quiz with Answers

1. Which of the following are parts of the 5 P’s of data science and what is the additional P introduced in the slides?

 
 
 
 
 
 
 

2. What is the first step in finding the right problem to tackle in data science?

 
 
 
 

3. Which of the following is the best description of why it is important to learn about the foundations of big data?

 
 
 
 

4. What is the first step in determining a big data strategy?

 
 
 
 

5. What is a way to enable fault tolerance?

 
 
 
 

6. What are data silos and why are they bad?

 
 
 
 

7. Which of the following is an example of Big Data in social media?

 
 
 
 

8. Which of the following are part of the four main categories to acquire, access, and retrieve data?

 
 
 
 
 

9. Of the following, which is a technique mentioned in the videos for building a model?

 
 
 
 

10. According to Ilkay, why is exploring data crucial to better modeling?
Data exploration… <complete the sentence>

 
 
 
 

11. Which of the following are reasons mentioned for why data generated by people are hard to process?

 
 
 
 

12. Which of the following are general requirements for a programming language to support big data models?

 
 
 
 
 

13. Which of the following is a major challenge in Big Data?

 
 
 
 

14. How is Big Data used in healthcare?

 
 
 
 

15. What is the benefit of a commodity cluster?

 
 
 
 

16. Which of the following are the benefits of organization-generated data?

 
 
 
 
 

17. What are the ways to address data quality issues?

 
 
 
 
 

18. What is the purpose of retrieval and storage; pre-processing; and analysis to convert multiple data sources into valuable data?

 
 
 
 

19. What is done to the data in the preparation stage?

 
 
 
 
 

20. Which of the following are the benefits of data integration?

 
 
 
 
 
 

Online MCQs Big Data Quiz with Answers

  • Which of the following are reasons mentioned for why data generated by people are hard to process?
  • What is the purpose of retrieval and storage; pre-processing; and analysis to convert multiple data sources into valuable data?
  • Which of the following are the benefits of organization-generated data?
  • What are data silos and why are they bad?
  • Which of the following are the benefits of data integration?
  • Which of the following are parts of the 5 P’s of data science and what is the additional P introduced in the slides?
  • Which of the following are part of the four main categories to acquire, access, and retrieve data?
  • Of the following, which is a technique mentioned in the videos for building a model?
  • What is the first step in finding the right problem to tackle in data science?
  • What is the first step in determining a big data strategy?
  • According to Ilkay, why is exploring data crucial to better modeling? Data exploration…
  • What are the ways to address data quality issues?
  • What is done to the data in the preparation stage?
  • Which of the following is the best description of why it is important to learn about the foundations of big data?
  • What is the benefit of a commodity cluster?
  • What is a way to enable fault tolerance?
  • Which of the following are general requirements for a programming language to support big data models?
  • Which of the following is a major challenge in Big Data?
  • Which of the following is an example of Big Data in social media?
  • How is Big Data used in healthcare?

R Language Frequently Asked Questions

MS Excel Cell Reference Range Quiz 8

This test will check your understanding of MS Excel Cell Reference Ranges, which are used to select and work with multiple cells in a spreadsheet. You will encounter questions related to MS Excel on how to define, use, and apply ranges in formulas, functions, and data operations. Whether you are a beginner or looking to refresh your skills, this quiz “MS Excel Cell Reference Range” will help you master the concept of cell reference ranges in Excel! Let us start with the MS Excel Cell Reference Range Quiz now.

Online MS Excel Cell Reference Range Quiz Questions
Please go to MS Excel Cell Reference Range Quiz 8 to view the test

Online MS Excel Cell Reference Range Quiz

  • Cell F2 contains the following formula: =B2+C2+D2. If we drag the fill handle down, what would be the resulting formula in cell F3?
  • The tax rate, 15%, is in cell G2. Which cell references will allow us to use this value in a formula that appears down an entire column?
  • Instead of using absolute cell referencing, another way to refer to a tax rate of 15% which is cell G2, would be to:
  • Sara wants to create a name for the range for the tax rate of 15%. She types in Tax15, what is the problem?
  • Which of the following are valid characteristics of names for a named range?
  • When using Create from Selection you should select both data and labels.
  • When using Define Name you should select both data and labels.
  • We want to name each of the cells in column B using the labels in column A, which would be the fastest option?
  • Which shortcut will select a range of cells from the first selected cell to the end of a column (i.e., the first empty cell in that column)?
  • On which Tab of the ribbon are the Name tools located?
  • A named range, arrivals, has been created for cells N2 to N82. No other named ranges have been created. What will the Name Box display when clicking on cell N3?
  • A named range, arrivals, has been created for cells N2 to N82. What does Scope mean?
  • Which of the following does the name manager not allow us to do?
  • It is possible for the same range to have multiple names.
  • What is the quickest way to obtain a list of all the named ranges and the cells they refer to, for documentation purposes, in Excel or a word processing document?
  • Sara accidentally deleted a named range. What will happen?
  • When sharing files with colleagues, the named ranges will revert to relevant cell references.
  • What can you do if you forget the Named Ranges that apply to your spreadsheet?
  • Named ranges are more efficient than using cell references when performing calculations because of the following reasons:
  • Column B contains the named range, sales_price Column C contains the named range, shipping_cost. The formula: =SUM(sales_price)+SUM(shipping_cost) is typed into cell D2. What will be the result?

General Knowledge Quiz with Answers

summer() function in R Language

Big Data MCQS Questions 3

Looking to test your Big Data knowledge? Check out these top Big Data MCQs Questions and Answers for 2025! Perfect for students, professionals, and enthusiasts to assess their understanding of key concepts like Hadoop, Spark, and the 5 Vs of Big Data. Let us Start the Big Data MCQs Questions Quiz now.

Online Big Data MCQs Questions Quiz with Answers
Please go to Big Data MCQS Questions 3 to view the test

Big Data MCQs Questions with Answers

  • Which is NOT one of the three V’s of Big Data?
  • Which one of the following is an example of structured data?
  • What is the reason behind the explosion of interest in big data?
  • Which of the following is an example of big data utilized in action today?
  • What reasoning was given for the following: why is the “data storage to price ratio” relevant to big data?
  • What is the best description of personalized marketing enabled by big data?
  • Of the following, which are some examples of personalized marketing related to big data?
  • What is the workflow for working with big data?
  • Which is the most compelling reason mobile advertising relates to big data?
  • What are the three types of diverse data sources?
  • What is an example of machine data?
  • What is an example of organizational data?
  • Of the three data sources, which is the hardest to implement and streamline into a model?
  • Which of the following summarizes the process of using data streams?
  • Where does the real value of big data often come from?
  • What does it mean for a device to be “smart”?
  • What does the term “in situ” mean in the context of big data?
  • What are the steps required for data analysis?
  • What are the specific benefit(s) to a distributed file system?
  • Why is data science mainly about teamwork?

R Language Frequently Asked Questions