Big Data MCQs(multiple choice questions) with answers - letsbug

     In this article we have 30 MCQs(multiple choice questions) on Big Data with answers.

1. According to analysts, for what can traditional IT system provide a foundation when they're integrated with big data technologies like Hadoop?

  1.  Big data management and data mining
  2.  Data warehousing and business intelligence
  3.  Management and business
  4.  Collecting and storing unstructured data

Answer: 1

2. What are the main components of Big Data?

  1. MapReduce
  2. HDFS
  3. YARN
  4. All of these    

Answer: 4

3. What are the different features of Big Data Analytics?

  1.  Open-Source
  2.  Scalability
  3.  Data Recovery
  4.  All of the above

Answer: 4

4. According to analysts, for what can traditional IT systems provide a foundation when they're integrated with big data technologies like Hadoop?

  1. Big data management and data mining
  2.  Data warehousing and business intelligence
  3.  Management of Hadoop clusters
  4.  Collecting and storing unstructured data

Answer: 2

5. What are the four V's of Big Data?.

  1. Volume
  2. Velocity
  3. Variety
  4. All of the above

Answer: 4

6. All of the following accurately describe Hadoop, EXCEPT:

  1. Open-source
  2. Real-time
  3. java-based
  4. Distributed computing approach

Answer: 2

7. The examination of large amounts of data to see what patterns or other useful information can be found is known as.

  1. Data examination
  2. Information analysis
  3. Big Data analytics
  4. Data analysis

Answer: 3

8. Big data analysis does the following except.

  1. Collects data
  2. Spreads data 
  3. Organizes data
  4. Analyzes data

Answer: 2

9. What makes Big Data analysis difficult to optimize? 

  1. Big Data is not difficult to optimize
  2. Both data and cost-effective ways to mine data to make business sense out of it.
  3. The technology to mine data
  4. All of the above.

Answer: 2

10. The new source of big data that will trigger a Big Data revolution in the year to come

  1. Business transactions
  2. Social media
  3. Transactional data and sensor data
  4. RDBMS

Answer: 3

11. Data science is the process of diverse set of data through?

  1. Organizing data 
  2. Processing data
  3. Analyzing data
  4. all of the above

Answer:4

12. Which of the following language is used in Data Science.

  1. C
  2. C++
  3. Ruby

Answer:3

13. Which of the following is false?

  1. Sub setting can be used to select and exclude variables and observations
  2. Raw data should be processed only one time.
  3. Merging concerns combining datasets on the same observations to produce a result with more variables.
  4. None of the above

Answer: 2

14. Which of the following are correct components for data science?

  1. Data Engineering
  2. Advanced Computing
  3. Domain Expertise
  4. All of the above

Answer: 4

15. Which of the following is not a part of  data science process?

  1. Discovery
  2. Model Planning
  3. Communication building
  4. Operationalize

Answer: 3

16. Which of the following are the Data Sources in data science?

  1. Structured
  2. Unstructured
  3. Both A and B
  4. None of the above

Answer: 3

17. Which of the following is not an application for data science?

  1. Recommendation Systems
  2. Image & speech Recognition
  3. Online Price comparison
  4. Privacy Checker

Answer: 4

18. Which of the following uses data on some objects to predict values for other object?

  1. Fast 
  2. Accuracy
  3. Scalable
  4. All of the above

Answer: 4

19. Which of the following characteristics of big data is relatively more concerned to data science?

  1. Raw data is original source of data
  2. Preprocesses data is original source of data
  3. Raw data is the data obtained after processing steps
  4. None of the above.

Answer: 1

20. Which of the following focuses on unknown properties of the data? 

  1. Velocity
  2. Variety
  3. Volume
  4. None of the above

Answer: 2

21. Which of the following is one of the key data science skills?

  1. Statistics
  2. Machine Learning
  3. Data Visualization
  4. All of the above

Answer: 3

22. Which of the following is a key characteristics of a hacker?

  1. Afraid to day they don't know the answer
  2. Willing to find answers on their own
  3. Not willing to find answers on their own
  4. All of the above

Answer: 2

23. Raw data should be processed only one time.

  1. True
  2. False
  3. Can be true or false
  4. Cannot Say

Answer: 2

24. Which of the following is the common goal of statistical modelling?

  1. Inference
  2. summarizing
  3. Sub setting
  4. None of the above

Answer: 1

25. Causal analysis is commonly applied to census data.

  1. True
  2. false
  3. Can be true or false
  4. Cannot say

Answer: 2

26. Vectors come in two parts ______ and _______.

  1. Atomic vectors and matrix
  2. Atomic vectors and array
  3. Atomic vectors and list
  4. none of the above

Answer: 3

27. Which of the following model is usually a gold standard for data analysis?

  1. Inferential 
  2. Descriptive
  3. Causal
  4. All of the above

Answer: 3

28. Which is true about Machine Learning?

  1. Machine Learning (ML) is that field of computer science
  2. ML is a type of artificial intelligence that extract patterns out of  raw data by using an algorithm or method.
  3. The main focus of ML is to allow computer systems learn from experience  without being explicitly programmed or human intervention.
  4. All of the above 

Answer: 4

29. Which of the following are ML methods?

  1. based on human supervision
  2. supervised learning
  3. semi-reinforcement learning
  4. all of the above

Answer: 1

30. Which of the following is a widely used and effective machine learning algorithm based the idea of bagging?

  1. Decision Tree
  2. Regression
  3. Classification
  4. Random Forest

Answer: 4

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