Data Mining And Warehousing MCQs
Data Mining And Warehousing MCQs
These Data Mining And Warehousing multiple-choice questions and their answers will help you strengthen your grip on the subject of Data Mining And Warehousing. You can prepare for an upcoming exam or job interview with these Data Mining And Warehousing MCQs.
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1: ________ is a form of data mining that assigns records to one of a predefined set of classes.
A. Estimation
B. Clustering
C. Classification
2: What is data mining?
A. The process of extracting meaningful patterns and knowledge from large datasets
B. The storage and organization of data for efficient retrieval
C. The analysis of data to identify trends and patterns
D. The integration of data from multiple sources into a central repository
3: Which of the following is NOT a data mining technique?
A. Classification
B. Clustering
C. Regression
D. Indexing
4: What is the purpose of data warehousing?
A. To store and organize data for efficient retrieval
B. To analyze data and extract useful information
C. To integrate data from multiple sources into a central repository
D. To visualize and present data in a meaningful way
5: What is OLAP (Online Analytical Processing) in the context of data warehousing?
A. A technique for extracting, transforming, and loading data into a data warehouse
B. A technique for organizing and structuring data in a data warehouse
C. A technique for analyzing and querying data in a multidimensional manner
D. A technique for visualizing and reporting data from a data warehouse
6: Which of the following is a common data mining task?
A. Data integration
B. Data normalization
C. Association rule mining
D. Data replication
7: What is the purpose of data preprocessing in data mining?
A. To convert raw data into a suitable format for analysis
B. To store and organize data for efficient retrieval
C. To integrate data from multiple sources into a central repository
D. To visualize and present data in a meaningful way
8: Which data mining technique is used to uncover hidden patterns or relationships in data?
A. Classification
B. Clustering
C. Regression
D. Association rule mining
9: What is the role of dimensionality reduction in data mining?
A. To increase the size of the dataset for analysis
B. To reduce the number of attributes or features in the dataset
C. To integrate data from multiple sources into a central repository
D. To store and organize data for efficient retrieval
10: Which of the following is an example of a data mining tool?
A. Microsoft Excel
B. Oracle Database
C. Tableau
D. Apache Hadoop
11: What is the purpose of data visualization in data mining?
A. To convert raw data into a suitable format for analysis
B. To store and organize data for efficient retrieval
C. To integrate data from multiple sources into a central repository
D. To present data in a visual and easily understandable format
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Data Mining And Warehousing MCQs
