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Big Data MCQ

Big data is a field that treats ways to analyze systematically extract information from or otherwise deal with data sets. Data can be large or complex to be dealt with by traditional data processing applications software

  • A large amount of data
  • It is a popular term used to express the exponential growth of data.
  • Big data is difficult to store, collect, maintain, analyze and visualize.

Distributed file system: Distributed file system is a file system in which data is stored on a server. The data is accessed and processed as if it were stored on the local client machine.

 Characteristics of distributed file system:

  • Transparency
  • user mobility
  • Performance
  • simplicity and ease of use
  • Scalability
  • high availability
  • high reliability

Big data tools: Apache Hadoop,  Apache Storm, Cassandra,  Mongo DB, Neo4j.

Big data sources:  Amazon,  Redshift,  Mongo DB

Challenges of big data:

  • Uncertainty of data management
  • The talent gap in big data
  • Getting data into a big data structure
  • Synchronizing across data sources
  • Integration

Benefits of big data:

  • Cost
  • Time reduction
  • Speeding up decision making
  • Analyze in real-time
  • Model and Test variation

Characteristics of big data:

  • Volume
  • Velocity
  • Variety

Types of big data:

  • Structured
  • unstructured
  • Semi-structured
  • hybrid

Use cases of big data

  • Recommendation engine
  • Analyzing call detail records
  • Fraud detection
  • Market  basket analysis
  • sentiment analysis

BIG Data MCQs

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1. 

What are the main components of big data?

2. 

On which of the following platforms does Hadoop run?

3. 

Data in ____ bytes size is called big data

4. 

Transaction of data of the bank is a type of.

5. 

The total forms of big data is ____

6. 

Identify the incorrect big data Technologies.

7. 

In which language is Hadoop written?

8. 

___________ is a collection of data that is used in volume, yet growing exponentially with time

9. 

Identify among the options below which is general-purpose computing model and runtime system for Distributed Data Analytics.

10. 

Choose the primary characteristics of big data among the following

11. 

Identify whether true or false: Qubole Is a big data tool.

12. 

Choose the languages which are used in data science.

13. 

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

14. 

Identify the different features of Big Data Analytics.

15. 

Total V’s of big data is ____

16. 

Among the following options choose the one which depicts the correct reason why big data analysis is difficult to optimize.

17. 

All of the following accurately describe Hadoop, except

18. 

Which of the following are the Benefits of Big Data Processing?

19. 

Big data analysis does the following except?

20. 

Which of the following is true about big data?

21. 

Which of the following can be generally used to clean and prepare big data.

22. 

Identify the operation which can be performed in the data warehouse.

23. 

Among the following options which component deals with ingesting streaming data into Hadoop?

24. 

Among the following option which of the following property gets configured on mapred-site.xml

25. 

Mapper class is

26. 

Among the following which does the Job control in Hadoop?

27. 

Identify the term used to define the multidimensional model of the data warehouse.

28. 

Fixed-size pieces of MapReduce job is known as ________

29. 

The output of map tasks is written in?

30. 

What is the time horizon in the data warehouse?

31. 

Where can the data be updated?

32. 

Hadoop Common Package contains?

33. 

Small logical units where data warehouses hold large amounts of data is known as _____.

34. 

Choose the incorrect property of the data warehouse.

35. 

Identify the slave node among the following.

36. 

What is the source of all data warehouse data known as?

37. 

Fact tables are _______

38. 

Identify the correct definition of Reconciled data.

39. 

Identify the node which acts as a checkpoint node in HDFS.

40. 

Identify the most common source of change data in refreshing a data warehouse.

41. 

DSS in data warehouse stands for __________

42. 

________ is data about data.

43. 

How many approaches are there in data warehousing to integrate heterogeneous databases?

44. 

Identify the correct options which are considered before investing in data mining

45. 

Efficiency and scalability of data mining algorithms" issues come under?

46. 

Identify among the following for which system of data warehousing is mostly used.

47. 

What is the use of data cleaning?

48. 

What is the minimum amount of data that a disk can read or write in HDFS?

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