Data Analytics mcq with answers

Data Analytics MCQ with answers for SPPU Online Exams

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Data Analytics mcq with answers

Data Analytics mcq with answers

1. Which of the following is not an example of Social Media?

  1. Twitter
  2. Google
  3. Instagram
  4. Youtube
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Google

2. By 2025, the volume of digital data will increase to

  1. TB
  2. YB
  3. ZB
  4. EB
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ZB

3. Data Analysis is a process of

  1. inspecting data
  2. cleaning data
  3. transforming data
  4. All of Above

All of above

4. Does Facebook uses “Big Data ” to perform the concept of Flashback?

  1. True
  2. False
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True

5. Which of the following is not a major data analysis approaches?

  1. Data Mining
  2. Predictive Intelligence
  3. Business Intelligence
  4. Text Analytics
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Predictive Intelligence

6. The Process of describing the data that is huge and complex to store and process is known as

  1. Analytics
  2. Data mining
  3. Big data
  4. Data warehouse

Big data

7.  How many main statistical methodologies are used in data analysis?

  1. 2
  2. 3
  3. 4
  4. 5
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2

8. In descriptive statistics, data from the entire population or a sample is summarized with ?

  1. Integer descriptor
  2. floating descriptor
  3. numerical descriptor
  4. decimal descriptor
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numerical descriptor

9. ____ have a structure but cannot be stored in a database.

  1. Structured
  2. Semi Structured
  3. Unstructured
  4. None of these

None of these

10. Data generated from online transactions is one of the example for volume of big data

  1. TRUE
  2. FALSE

TRUE

Data analytics mcq with answers pdf

11. Velocity is the speed at which the data is processed

  1. True
  2. False
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False

12. Value tells the trustworthiness of data in terms of quality and accuracy

  1. TRUE
  2. FALSE

False

13. Hortonworks was introduced by Cloudera and owned by Yahoo

  1. True
  2. False
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False

14. ____ refers to the ability to turn your data useful for business

  1. Velocity
  2. variety
  3. Value
  4. Volume
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Value

15. GFS consists of ____ Master and _____ Chunk Servers

  1. Single, Single
  2. Multiple, Single
  3. Single, Multiple
  4. Multiple, Multiple

Single, Multiple

SPPU mcqs for High Performance Computing

16. Data Analysis is defined by the statistician?

  1. William S.
  2. Hans Peter Luhn
  3.  Gregory Piatetsky-Shapiro
  4.  John Tukey

John Tukey

17. Files are divided into ____ sized Chunks.

  1. Static
  2. Dynamic
  3. Fixed
  4. Variable
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Fixed

18. _____ is an open source framework for storing data and running application on clusters of commodity hardware.

  1. HDFS
  2. Hadoop
  3. MapReduce
  4. Cloud

Hadoop

19. HDFS Stores how much data in each clusters that can be scaled at any time?

  1. 32
  2. 64
  3. 128
  4. 256

128

20. Hadoop MapReduce allows you to perform distributed parallel processing on large volumes of data quickly and efficiently… is this MapReduce or Hadoop

  1. True
  2. False
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True

data analytics mcq questions and answers

21. Google Introduced MapReduce Programming model in 2004

  1. True
  2. False
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True

22. Hadoop YARN is used for Cluster Resource Management in Hadoop Ecosystem

  1. True
  2. False

True

23. _____ phase sorts the data & _____ creates logical clusters.

  1. Reduce, YARN
  2. MAP, YARN
  3. REDUCE, MAP
  4. MAP, REDUCE

MAP, REDUCE

24. There is only one operation between Mapping and Reducing

  1. True
  2. False
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True

25. Which of the following is true about hypothesis testing?

  1. answering yes/no questions about the data
  2. estimating numerical characteristics of the data
  3. describing associations within the data
  4. modeling relationships within the data

answering yes/no questions about the data

26. The goal of business intelligence is to allow easy interpretation of large volumes of data to identify new opportunities

  1. True
  2. False
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True

27. ____ is factors considered before Adopting Big Data Technology

  1. Validation
  2. Verification
  3. Data
  4. Design

Validation

28. for improving supply chain management to optimize stock management, replenishment, and forecasting

  1. Descriptive
  2. Diagnostic
  3. Predictive
  4. Prescriptive

Predictive

29. which among the following is not a Data mining and analytical applications?

  1. profile matching
  2. social network analysis
  3. facial recognition
  4. Filtering

Filtering

30. _____ as a result of data accessibility, data latency, data availability, or limits on bandwidth in relation to the size of inputs

  1. Computation-restricted throttling
  2. Large data volumes
  3. Data throttling
  4. Data Parallelization

Data throttling

data analytics mcq with answers

31. As an example, an expectation of using a recommendation engine would be to increase same-customer sales by adding more items into the market basket

  1. Lowering costs
  2. Increasing revenues
  3. Increasing productivity
  4.  Reducing risk
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Increasing revenues

32. Which storage subsystem can support massive data volumes of increasing size.

  1. Extensibility
  2. Fault tolerance
  3. Scalability
  4. High-speed I/O capacity

Scalability

33. _____ provides performance through distribution of data and fault tolerance through replication

  1. HDFS
  2. PIG
  3. HIVE
  4. HADOOP

HDFS

34. ______ is a programming model for writing applications that can process Big Data in parallel on multiple nodes.

  1. HDFS
  2. MAP REDUCE
  3. HADOOP
  4. HIVE
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MAP REDUCE

data analytics multiple choice questions

35.  ____ takes the grouped key-value paired data as input and runs a Reducer function on each one of them.

  1. MAPPER
  2. REDUCER
  3. COMBINER
  4. PARTITIONER

REDUCER

36. ____ is a type of local Reducer that groups similar data from the map phase into identifiable sets.

  1. MAPPER
  2. REDUCER
  3. COMBINER
  4. PARTITIONER

COMBINER

37. While Installing Hadoop how many xml files are edited and list them ?

  1. core-site.xml
  2. hdfs-site.xml
  3. mapred.xml
  4. yarn.xml

core-site.xml

38. Movie Recommendation systems are an example of

  1. Classification
  2. Clustering
  3. Reinforcement Learning
  4. Regression
  1. 2 only
  2. 1 and 3
  3. 1 and 2
  4. 2 and 3
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1 and 3

39. Sentiment Analysis is an example of

  1. Regression
  2. Classification
  3. clustering
  4. Reinforcement Learning
  1. 1, 2 and 4
  2. 1, 2 and 3
  3. 1 and 3
  4. 1 and 2
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1, 2 and 4

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