DBMS-Data Warehousing and Data Mining Questions and Answers
Data Warehousing and Data Mining questions with answers are crucial for understanding how organizations manage and analyze large datasets. These DBMS programming questions and answers explore concepts like ETL processes, OLAP operations, clustering, classification, and association rule mining. Practicing these questions helps students gain clarity on real-world data analytics and storage architecture, often tested in company placement papers and technical interviews. If you’re preparing for TCS, Capgemini, or Wipro, reviewing these DBMS-based data mining questions will strengthen your database and analytics knowledge for exams and interviews
DBMS-Data Warehousing and Data Mining
Showing 10 of
36 questions
31. Data mart is a data store which is
- a specialised and subject-oriented.
- integrated and time-variant.
- volatile data store.
- All of these
32. A data mart may contain
- summarised data.
- de-normalised data.
- aggregated departmental data.
- All of these.
33. Online analytical processing (OLAP) is an advanced data analysis environment that supports
- decision making
- business modelling.
- operations research activities.
- All of these
34. OLAP is
- a dynamic synthesis of multidimentional data.
- a analysis of multidimentional data.
- a consolidation of large volumes of multi-dimensional data.
- All of these
35. Data mining is
- the process of extracting valid, previously unknown comprehensible and actionable information from large databases and using it to make crucial business decisions.
- a tool that allows end-users direct access and manipulation of data from within data-warehousing environment without the intervention of customised programming activity.
- a tool that helps end users extract useful business information from large databases.
- All of these.
36. The expanded from of KDD is
- Knowledge Discovery in Database
- Knowledge of decision making in Databases.
- Knowledge-based Decision Data.
- Karnough Decision Database