Data Mining & Data Ware House Questions and Answers
Data Mining & Data Warehouse Questions with Answers are vital for understanding large-scale data analysis and storage techniques in database management systems (DBMS). Featured often in programming questions and answers for competitive exams, this topic covers key concepts like OLAP, ETL processes, and data modeling. Companies like Infosys, CTS, and IBM frequently test candidates on these concepts during placements. Practicing these MCQs with explanations helps students enhance their analytical and SQL-based problem-solving skills. Download free Data Mining & Data Warehouse aptitude questions with solutions PDF or take our online tests for quick practice.
Data Mining & Data Ware House
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96 questions
41. Hybrid is
- Combining different types of method or information
- Approach to the design of learning algorithms that is structured along the lines of the theory of evolution.
- Decision support systems that contain an information base filled with the knowledge of an expert formulated in terms of if-them rules
- None of these
42. Evolutionary computation is
- Combining different types of method or information
- Approach to the design of learning algorithms that is structured along the lines of the theory of evolution.
- Decision support systems that contain an information base filled with the knowledge of an expert formulated in terms of if-then rules.
- None of these
43. Expert systems
- Combining different types of method or information
- Approach to the design of learning algorithms that is structured along the lines of the theory of evolution.
- Decision support systems that contain an information base filled with the knowledge of an expert formulated in terms of if-them rules
- None of these
44. Extendible architecture is
- Modular design of a software application that facilitates the integration of new modules
- Showing a universal law or rule to be invalid by providing a counter example
- A set of attributes in a database table that refers to data in another table
- None of these
45. Falsification is
- Modular design of a software application that facilitates the integration of new modules
- Showing a universal lawl or rule to be invalid by providing a counter example
- A set of attributes in a database table that refers to data in another table
- None of these
46. Foreign key is
- Modular design of a software application that facilitates the integration of new modules
- Showing a universal law or rule to be invalid by providing a counter example
- A set of attributes in a database table that refers to data in another table
- None of these
47. Hybrid learning is
- Machine-learning involving different techniques
- The learnng algorithmic analyzes the examples on a systematic basis and makes incremental adjustments to the theory that is learned
- Learning by generalizing from examples
- None of these
48. Incremental learning referred to
- Machine-learning involving different techniques
- The learning algorithmic analyzes the examples on a systematic basis and makes incremental adjustments to the theory that is learned
- Learning by generalizing from examples
- None of these
49. Information content is
- The amount of information with in data as opposed to the amount of redundancy or noise
- One of the defining aspects of a data warehouse
- Restriction that requires data in one column of a database table to the a subset of another-column.
- None of these
50. Inclusion dependencies
- The amount of information with in data as opposed to the amount of redundancy or noise
- One of the defining aspects of a data warehouse
- Restriction that requires data in one column of a database table to the a sub-set of another-column
- None of these