COPA - Data Analytics MCQ with Answers For CS and IT - Set 01 - ObjectiveBooks

COPA - Data Analytics MCQ with Answers For CS and IT - Set 01

Practice Test: Question Set - 01


1. A statement made about a population for testing purpose is called?
    (A) Statistic
    (B) Hypothesis
    (C) Level of Significance
    (D) Test-Statistic

2. Data Analysis is a process of
    (A) Inspecting data
    (B) Cleaning data
    (C) Transforming data
    (D) All of Above

3. ________ have a structure but cannot be stored in a database.
    (A) Structured
    (B) Semi Structured
    (C) Unstructured
    (D) None of these

4. HDFS Stores how much data in each clusters that can be scaled at any time?
    (A) 32
    (B) 64
    (C) 128
    (D) 256

5. The branch of statistics which deals with development of particular statistical methods is classified as
    (A) Industry statistics
    (B) Economic statistics
    (C) Applied statistics
    (D) Allied statistics

6. This is the process of transforming qualitative research data from written interviews or field notes into typed text.
    (A) Segmenting
    (B) Coding
    (C) Transcription
    (D) Mnemoning

7. If the null hypothesis is false then which of the following is accepted?
    (A) Null Hypothesis
    (B) Positive Hypothesis
    (C) Negative Hypothesis
    (D) Alternative Hypothesis

8. The Process of describing the data that is huge and complex to store and process is known as
    (A) Analytics
    (B) Data mining
    (C) Big data
    (D) Data warehouse

9. GFS consists of ________ Master and _________ Chunk Servers
    (A) Single, Single
    (B) Multiple, Single
    (C) Single, Multiple
    (D) Multiple, Multiple

10. _________ is factors considered before Adopting Big Data Technology
    (A) Validation
    (B) Verification
    (C) Data
    (D) Design

11. Which storage subsystem can support massive data volumes of increasing size.
    (A) Extensibility
    (B) Fault tolerance
    (C) Scalability
    (D) High-speed I/O capacity

12. ________ takes the grouped key-value paired data as input and runs a Reducer function on each one of them.
    (A) MAPPER
    (B) REDUCER
    (C) COMBINER
    (D) PARTITIONER

13. Movie Recommendation systems are an example of

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

    (A) 2 only
    (B) 1 and 3
    (C) 1 and 2
    (D) 2 and 3

14. Which of the following is true about regression analysis?
    (A) Answering yes/no questions about the data
    (B) Estimating numerical characteristics of the data
    (C) Modeling relationships within the data
    (D) Describing associations within the data

15. An advantage of using computer programs for qualitative data is that they _________
    (A) Can reduce time required to analyze data (i.e., after the data are transcribed)
    (B) Help in storing and organizing data
    (C) Make many procedures available that are rarely done by hand due to time constraints
    (D) All of the above

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