Data Mining MCQs

Are you looking for the MCQs for exam preparation and instant revision and related to each and every topic based on the data mining? If yes, then this guide is going to provide you with all the important questions in multiple choice form on the topic ‘data mining’.

A Brief Idea About the Data Mining

Data Mining is a process of separating the data to identify a particular pattern, trends, and helpful information to make a fruitful decision from a large collection of data. It is also known by the name Knowledge Discovery in Database. The various processes in data mining include data cleaning, data integration, data selection, data exploration, pattern evaluation, and knowledge presentation.

MCQs Related to the topic of Data Mining

  1. Which of the listed below helps to identify abstracted patterns in unlabeled data?
  2. Hybrid learning
  3. Unsupervised learning
  4. Supervised learning
  5. Reinforcement learning

Answer: 2. Unsupervised learning

Explanation: Unsupervised learning is a type of machine learning algorithm that is specifically designed to identify the abstracted patterns in unlabeled data.

2. Which of the listed below helps to infer a model from labeled data?

  1. Hybrid learning
  2. Unsupervised learning
  3. Supervised learning
  4. Reinforcement learning

Answer: 3. supervised learning

Explanation: supervised learning is a type of machine learning algorithm that is specifically designed to infer a model from labeled data.

3. Among which of the following can query the unstructured textual data?

  1. Information retrieval
  2. Information access
  3. Information manipulation
  4. Information update

Answer: 1. information retrieval

Explanation: Information retrieval is the process by which we can query the unstructured textual data. This can also be understood as the process of gathering information from a large collection of data.

4. Which of the following process is not involved in the data mining process?

  1. Data exploration
  2. Data transformation
  3. Data archaeology
  4. Knowledge extraction

Answer: 3. Data transformation

Explanation: data transformation is not involved in data mining

5. Which of the following is taken into account before diving in the data mining process?

  1. Vendor consideration
  2. Functionalibility
  3. Compatibility
  4. All of the above

Answer: 4. all of the above

Explanation: all the criteria are taken into account.

6. What is the full form of OLTP?

  1. Online transaction processing
  2. Offline transaction processing
  3. Online traffic processing
  4. None of the above

Answer: 1. Online transaction processing

Explanation: OLTP stands for Online transaction processing. It involves the collection of the input information, processing the data, and updating the existing data.

7. Which of the following process uses intelligent methods to extract data patterns?

  1. Data mining
  2. Text mining
  3. Warehousing
  4. Data selection

Answer: 1. data mining

Explanation: data mining uses intelligent methods to extract data patterns.

8. What is the full form of KDD in the data mining process?

  1. Knowledge data house
  2. Knowledge data definition
  3. Knowledge discovery data
  4. Knowledge discovery database

Answer: 4. Knowledge discovery database

Explanation: in the data mining process, KDD stands for Knowledge discovery database. It discovers the data and emphasizes the high level applications in the data mining process.

9. What are the chief functions of the data mining process?

  1. Prediction and characterization
  2. Cluster analysis and evolution analysis
  3. Association and correction analysis classification
  4. All of the above

Answer: 4. all of the above

Explanation: Prediction and characterization, Cluster analysis and evolution analysis, and Association and correction analysis classification are all chief functions of the data mining process.

10. Where is data warehousing used?

  1. Logical system
  2. Transaction system
  3. Decision support system
  4. None of the above

Answer: 3. decision support system

Explanation: data warehousing is used in the decision support system. It is a database management system used to enable and support business intelligence activities.

11. Among which of the following can be used by the warehouse?

  1. Database table
  2. Online database
  3. Flat files
  4. All of the above

Answer: 4. all of the above

Explanation: Database table, Online database, and Flat files are all used in the warehouse.

12. Which of the following statement is true regarding classification?

Answer: 2. It is a subdivision of a set

Explanation: classification is a term that is a subdivision of a set. A large amount of data is classified or divided into different groups based on the similarities of the data or based on a specific rule.

13. Which is the correct option regarding data mining?

  1. It can be referred to as the mining of knowledge from data
  2. It can be defined as the process of extracting information from a large collection of data
  3. The process of data mining involves several other processes like data cleaning, data transformation, and data integration.
  4. All of the above

Answer: 4. all of the above

Explanation: data mining is a process of mining of knowledge from data or extracting information from a large collection of data. It also involves several other processes like data cleaning, data transformation, and data integration.

14. Which is the correct process of data mining?

  1. Infrastructure, exploration, analysis, interpretation, and exploitation
  2. Exploration, Infrastructure, analysis, interpretation, and exploitation
  3. Exploration, Infrastructure, interpretation, analysis, and exploitation
  4. Exploration, Infrastructure, analysis, exploitation, and analysis

Answer: 1. Infrastructure, exploration, analysis, interpretation, exploitation

Explanation: the correct order of the processes involved in the data mining process is Infrastructure, exploration, analysis, interpretation, and exploitation.

15. Which statement is incorrect regarding data cleaning?

  1. It refers to correcting the inconsistent data.
  2. It refers to the process of data cleaning.
  3. It refers to the conversion of the wrong data to the right data.
  4. All of the above

Answer: 4. all of the above

Explanation: data cleaning is a process that involves correcting the inconsistent data, cleaning the data, and converting the wrong data into the right data.

16. Which is the right advantage regarding the Update-Driven approach?

  1. Update-Driven approach enables high performance
  2. The data in Update-Driven approach can be copied, integrated, summarized, and restructured in the semantic data store in advance.
  3. Both a and b
  4. None of the above

Answer: 3. both a and b

Explanation: the options of a and b are the advantages of the Update-Driven approach. It offers high performance, the data can be copied, integrated, summarized, and restructured in the semantic data store in advance.

17. Which statement is correct regarding query tools?

  1. It is used to query the databases
  2. Attributes to a database can only take numerical values.
  3. Both a and b
  4. None of the above

Answer: 1. it is used to query the database

Explanation: a query tool is a tool that is used to query the database. Or we can say that this tool is used to get only the necessary information from the entire database.

18. Which statement given below closely defines the term cluster?

  1. These are the group of the same objects that differ majorly from the other objects.
  2. Symbolic representation of facts and ideas from which information can be extracted using the data mining process
  3. It is simply an operation performed on databases to simplify the information so that it can be further transformed into a machine learning algorithm.
  4. All of the above

Answer: 1. These are the group of the same objects that differ majorly from the other objects.

Explanation: These are the group of the same objects that differ majorly from the other objects. Or we can say that clusters are the group of objects that contains similar characteristics and features.

19. Which statement given below closely defines the term data selection?

  1. It is a knowledge discovery process of the actual discovery phase
  2. The selection of correct data for the process of Knowledge Discovery Database
  3. A subject orient integrated data in support of management.
  4. All of the above

Answer: 2. The selection of correct data for the process of the Knowledge Discovery Database

Explanation: data selection refers to the selection of correct data for the process of Knowledge Discovery Database.

20. Which statement given below closely defines the term discovery?

  1. It is hidden in a database and needs to be found out by the certain clues given (for example: IS encrypted)
  2. An extremely complex molecule that occurs in the human chromosomes and that carries genetic information in the form of genes.
  3. It a kind of process of carrying out implicit, previously unknown, and potentially useful information from the data.
  4. None of the data

Answer: 3. It a kind of process of carrying out implicit, previously unknown, and potentially useful information from the data.

Explanation: the term discovery refers to the process of carrying out implicit, previously unknown, and potentially useful information from the data.