MCQs Big Data Questions 2

The post is about MCQs Big Data Questions with Answers. There are 20 multiple-choice questions with answers. “Ready to test your big data knowledge? Take a quiz today and see how you fare! Share your results in the comments and let us know what topics you’d like to see covered in future quizzes.” Let us start with the Online MCQs Big Data Questions now.

MCQs Big Data Questions with Answers

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

 
 
 
 
 

2. Data in a data lake is most commonly stored in its natural or raw form.

 
 

3. What are the steps required for data analysis?

 
 
 
 

4. Defining the ————– ————– is the first step in any big data strategy.

 
 
 
 

5. What does the attribute “Veracity” imply in the context of Big Data?

 
 
 
 

6. These two characteristics define the ratio between populated and unpopulated cells in a data source.

 
 
 
 

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

 
 
 
 

8. A well-defined and comprehensive big data strategy makes the benefits of big data ————— for the organization.

 
 
 
 

9. What does it mean for a device to be “smart”?

 
 
 

10. These two characteristics are critical to implementing a successful high-velocity data strategy

 
 
 
 

11. What is the benefit of using pre-built Hadoop images?

 
 
 
 

12. What does the term “in situ” mean in the context of big data?

 
 
 
 

13. —————— is a measure of how fast the data is coming in.

 
 
 
 

14. Which of the Big Data processing tools provides distributed storage and processing of Big Data?

 
 
 
 

15. Which of the following is a technique mentioned in the videos for building a model?

 
 
 
 

16. Which of the following summarizes the process of using data streams?

 
 
 
 

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

 
 
 
 
 

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

 
 
 
 

19. At-rest and in-transit data each have unique security concerns.

 
 

20. Which is the most compelling reason why mobile advertising is related to big data?

 
 
 
 

MCQs Big Data Questions

Online MCQs Big Data Questions with Answers
  • Which is the most compelling reason why mobile advertising is related to big data?
  • Which of the following summarizes the process of using data streams?
  • These two characteristics define the ratio between populated and unpopulated cells in a data source.
  • What does it mean for a device to be “smart”?
  • At-rest and in-transit data each have unique security concerns.
  • What does the term “in situ” mean in the context of big data?
  • What are data silos and why are they bad?
  • —————— is a measure of how fast the data is coming in.
  • These two characteristics are critical to implementing a successful high-velocity data strategy
  • What are the steps required for data analysis?
  • Which of the following is a technique mentioned in the videos for building a model?
  • Which of the Big Data processing tools provides distributed storage and processing of Big Data?
  • What does the attribute “Veracity” imply in the context of Big Data?
  • Defining the ————– ————– is the first step in any big data strategy.
  • A well-defined and comprehensive big data strategy makes the benefits of big data ————— for the organization.
  • What are the ways to address data quality issues?
  • Data in a data lake is most commonly stored in its natural or raw form.
  • What is the benefit of using pre-built Hadoop images?
  • Which of the following are general requirements for a programming language to support big data models?
  • Which of the following is the best description of why it is important to learn about the foundations of big data?

R Programming Language

Big Data Quiz 1

The post is about the Big Data Quiz. There are 20 multiple-choice questions in this quiz. Are you Ready to test your big data knowledge? Take a quiz today and see how you fare! Share your results in the comments and let us know what topics you would like to see covered in future quizzes. Let us start with the Big Data Quiz.

Please go to Big Data Quiz 1 to view the test

Online Big Data Quiz with Answers

  • Which is NOT one of the four 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?
  • Big data best practice is to —————- whenever possible.
  • Which of the following are common big data strategies?
  • This many bytes of data are created daily.
  • Which of the following are types of data found in a big data environment?
  • Of the three data sources, which is the hardest to implement and streamline into a model
  • Where does the real value of big data often come from?
  • A big data strategy MUST be seen as something separate from the organizational strategy and kept separate at all costs.
  • Big data technologies can be largely classified into the following two groups?
  • What are the three types of diverse data sources?
  • What is an example of machine data?
  • What is an example of organizational data?
  • When dealing with high-velocity data, precautions, and processes should be implemented to investigate and analyze anomalies and other patterns of behavior.

MCQs Data Mining

big data quiz with answers

Unlock Big Data Mastery: Quizs, Trends, Applications

This post explores the value of big data and related quizzes as a learning tool, highlighting their ability to reinforce knowledge, assess skills, and make learning more engaging. We will discuss various types of quizzes, where to find them, and the latest trends shaping the big data landscape. By actively testing your understanding, you can enhance your proficiency and stay ahead in the ever-evolving field of big data. We encourage you to explore the resources mentioned and take a quiz to challenge your knowledge.

MCQs Big Data Quiz 4Big Data MCQ Questions 3
MCQs Big Data Questions 2Big Data Quiz 1

Introduction (Engage and Hook)

“In today’s data-driven world, big data is no longer a buzzword—it is a critical component of business strategy, scientific discovery, and everyday life. However, it is important to know how well you truly understand it. If you are a seasoned data professional or just want to explore this field, testing your knowledge is a fantastic way to solidify your understanding and identify areas for growth. That is why in this post we are diving into the world of big-data quizzes, alongside a look at the latest trends and real-world applications.”

What is Big Data? (Brief and Clear)

It refers to the massive volumes of

  • structured,
  • semi-structured, and
  • unstructured data

that can be analyzed to reveal insights, trends, and associations. This data is characterized by the ‘Five Vs’:

  • Volume,
  • Velocity,
  • Variety,
  • Veracity, and
  • Value.

Understanding these components is crucial for anyone working with or interested in the field.

Another V (Variability) is also added

Big Data Quizzes MCQs Questions

Why Quizzes are Valuable

  • Reinforce Knowledge: “Quizzes provide immediate feedback, helping you solidify concepts and identify gaps in your understanding.”
  • Active Learning: “Engaging with quizzes transforms passive learning into an active, interactive experience.”
  • Skill Assessment: “They allow you to gauge your proficiency in specific areas, such as data analytics, Hadoop, or machine learning.”
  • Fun and Engaging: “Learning doesn’t have to be dry. Quizzes can make complex topics more accessible and enjoyable.”
  • Preparation: “Quizzes are great for preparing for certifications, interviews, or simply staying current in the field.”

Types of Big Data Quizzes

  • Fundamentals Quizzes: “Covering basic concepts like the Five Vs, data storage, and processing.”
  • Technology-Specific Quizzes: “Focusing on tools and platforms like Hadoop, Spark, and NoSQL databases.”
  • Analytics and Machine Learning Quizzes: “Testing your knowledge of data mining, predictive modeling, and AI applications.”
  • Case Study Quizzes: “Presenting real-world scenarios and asking you to apply your knowledge to solve problems.”

Where to Find Quizzes

You can find most of the Online quizzes on https://itfeature.com, however, the following are some possible sources

  • Online Learning Platforms: “Sites like Coursera, edX, and Udemy often include quizzes in their big data courses.”
  • Professional Certification Websites: “Organizations like Cloudera and AWS provide quizzes as part of their certification programs.”
  • Industry Blogs and Websites: “Many tech blogs and data science websites offer free quizzes and assessments.”
  • Dedicated Quiz Websites: “Websites specializing in online quizzes often have categories related to technology and data science.”
  • Data Visualization: “The importance of presenting complex data clearly and understandably.”
  • AI and Machine Learning Integration: “The increasing use of AI and machine learning to analyze and extract insights from data.”
  • Cloud-Based Solutions: “The growing popularity of cloud platforms for storing, processing, and analyzing big data.”
  • Data Governance and Security: “The rising importance of data privacy and security in the age of big data.”
  • Edge Computing: “Processing data closer to the source, reducing latency and improving real-time analysis.”

Data Analysis in R Language