Data Mining MCQ

Data Mining MCQ

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  • 16th Jul, 2021

Data Mining MCQ

Following are mostly asked Data mining MCQ test that are designed for professionals like you to crack you interviews. You can take this Data mining online test before appearing to you real interview. This Data mining quiz there are around 30+ multiple choice questions on Data mining with four options.

1) Which one of the following refers to querying the unstructured textual data?

  • A. Information access
  • B. Information update
  • C. Information retrieval
  • D. Information manipulation

2) Which of the following can be considered as the correct process of Data Mining?

  • A. Exploration, Infrastructure, Analysis, Exploitation, Interpretation
  • B. Exploration, Infrastructure, Interpretation, Analysis, Exploitation
  • C. Exploration, Infrastructure, Analysis, Interpretation, Exploitation
  • D. Infrastructure, Exploration, Analysis, Interpretation, Exploitation

3) What is KDD in data mining?

  • A. Knowledge data house
  • B. Knowledge Discovery Database
  • C. Knowledge Data definition
  • D. Knowledge Discovery Data

4) What are the functions of Data Mining?

  • A. Prediction and characterization
  • B. Cluster analysis and Evolution analysis
  • C. Association and correctional analysis classification
  • D. All of the Above

5) In data mining, how many categories of functions are included?

  • A. 2
  • B. 3
  • C. 4
  • D. 5
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6) Which of the following also used as the first step in the knowledge discovery process?

  • A. Data cleaning
  • B. Data selection
  • C. Data integration
  • D. Data transformation

7) DMQL stands for _____

  • A. DBMiner Query Language
  • B. Data Mining Query Language
  • C. Data Marts Query Language
  • D. None of the above

8) Which types of Data mining are ?

  • A. Text mining
  • B. Web mining
  • C. Video mining
  • D. All of the Above

9) KDD process is consists of _______ steps.

  • A. 3
  • B. 6
  • C. 9
  • D. 12

10) Data Mining was coined in which year?

  • A. 1990
  • B. 1991
  • C. 1992
  • D. 1993

11) ______ are data mining methods

  • A. Regression
  • B. Clustering
  • C. Neural networks
  • D. All of the Above

12) Why data mining is important in CRM?

  • A. Data mining can help analyze and process the data.
  • B. Data mining provides a holistic view of the customer's life-cycle
  • C. Data mining makes easier for the business to interact with customers and future clients.
  • D. All of the Above

13) What is the use of data cleaning?

  • A. to remove the noisy data
  • B. correct the inconsistencies in data
  • C. transformations to correct the wrong data.
  • D. All of the Above

14) Self-organizing maps are an example of

  • A. Unsupervised learning
  • B. Supervised learning
  • C. Reinforcement learning
  • D. Missing data imputation

15) Which of the following is not involve in data mining?

  • A. Data exploration
  • B. Data archaeology
  • C. Data transformation
  • D. Knowledge extraction

16) Relational Algebra is

  • A. Meta Language
  • B. Data Definition Language
  • C. Procedural query Language
  • D. None Of Above

17) Which of the following is true for Classification?

  • A. subdivision of a set
  • B. measure of the accuracy
  • C. task of assigning a classification
  • D. All of the Above

18) _______ is the output of KDD

  • A. Data
  • B. Query
  • C. information
  • D. Useful Information

19) Which of the following is not belong to data mining?

  • A. Data exploration
  • B. Data archaeology
  • C. Data transformation
  • D. Knowledge extraction

20) What do data warehouses support?

  • A. OLTP
  • B. OLAP
  • C. Operational databases
  • D. All of the Above

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