McqMate
These multiple-choice questions (MCQs) are designed to enhance your knowledge and understanding in the following areas: Uncategorized topics .
| 1. |
The data Warehouse is__________. |
| A. | read only. |
| B. | write only. |
| C. | read write only. |
| D. | none. |
| Answer» A. read only. | |
| 2. |
The important aspect of the data warehouse environment is that data found within the data warehouse is___________. |
| A. | subject-oriented. |
| B. | time-variant. |
| C. | integrated. |
| D. | All of the above. |
| Answer» D. All of the above. | |
| 3. |
__________ is the heart of the warehouse. |
| A. | Data mining database servers. |
| B. | Data warehouse database servers. |
| C. | Data mart database servers. |
| D. | Relational data base servers. |
| Answer» B. Data warehouse database servers. | |
| 4. |
The biggest drawback of the level indicator in the classic star-schema is that it limits_________. |
| A. | quantify. |
| B. | qualify. |
| C. | flexibility. |
| D. | ability. |
| Answer» C. flexibility. | |
| 5. |
A data warehouse is _____________. |
| A. | updated by end users. |
| B. | contains numerous naming conventions and formats |
| C. | organized around important subject areas. |
| D. | contains only current data. |
| Answer» C. organized around important subject areas. | |
| 6. |
An operational system is _____________. |
| A. | used to run the business in real time and is based on historical data. |
| B. | used to run the business in real time and is based on current data. |
| C. | used to support decision making and is based on current data. |
| D. | used to support decision making and is based on historical data. |
| Answer» B. used to run the business in real time and is based on current data. | |
| 7. |
The generic two-level data warehouse architecture includes __________. |
| A. | at least one data mart. |
| B. | data that can extracted from numerous internal and external sources. |
| C. | near real-time updates. |
| D. | far real-time updates. |
| Answer» C. near real-time updates. | |
| 8. |
The active data warehouse architecture includes __________ |
| A. | at least one data mart. |
| B. | data that can extracted from numerous internal and external sources. |
| C. | near real-time updates. |
| D. | all of the above. |
| Answer» D. all of the above. | |
| 9. |
Reconciled data is ___________. |
| A. | data stored in the various operational systems throughout the organization. |
| B. | current data intended to be the single source for all decision support systems. |
| C. | data stored in one operational system in the organization. |
| D. | data that has been selected and formatted for end-user support applications. |
| Answer» B. current data intended to be the single source for all decision support systems. | |
| 10. |
Transient data is _____________. |
| A. | data in which changes to existing records cause the previous version of the records to be eliminated. |
| B. | data in which changes to existing records do not cause the previous version of the records to be eliminated. |
| C. | data that are never altered or deleted once they have been added. |
| D. | data that are never deleted once they have been added. |
| Answer» A. data in which changes to existing records cause the previous version of the records to be eliminated. | |
| 11. |
The extract process is ______. |
| A. | capturing all of the data contained in various operational systems. |
| B. | capturing a subset of the data contained in various operational systems. |
| C. | capturing all of the data contained in various decision support systems. |
| D. | capturing a subset of the data contained in various decision support systems. |
| Answer» B. capturing a subset of the data contained in various operational systems. | |
| 12. |
Data scrubbing is _____________. |
| A. | a process to reject data from the data warehouse and to create the necessary indexes. |
| B. | a process to load the data in the data warehouse and to create the necessary indexes. |
| C. | a process to upgrade the quality of data after it is moved into a data warehouse. |
| D. | a process to upgrade the quality of data before it is moved into a data warehouse |
| Answer» D. a process to upgrade the quality of data before it is moved into a data warehouse | |
| 13. |
The load and index is ______________. |
| A. | a process to reject data from the data warehouse and to create the necessary indexes. |
| B. | a process to load the data in the data warehouse and to create the necessary indexes. |
| C. | a process to upgrade the quality of data after it is moved into a data warehouse. |
| D. | a process to upgrade the quality of data before it is moved into a data warehouse. |
| Answer» B. a process to load the data in the data warehouse and to create the necessary indexes. | |
| 14. |
Data transformation includes __________. |
| A. | a process to change data from a detailed level to a summary level. |
| B. | a process to change data from a summary level to a detailed level. |
| C. | joining data from one source into various sources of data. |
| D. | separating data from one source into various sources of data. |
| Answer» A. a process to change data from a detailed level to a summary level. | |
| 15. |
____________ is called a multifield transformation. |
| A. | Converting data from one field into multiple fields. |
| B. | Converting data from fields into field. |
| C. | Converting data from double fields into multiple fields. |
| D. | Converting data from one field to one field. |
| Answer» A. Converting data from one field into multiple fields. | |
| 16. |
The type of relationship in star schema is __________________. |
| A. | many-to-many. |
| B. | one-to-one. |
| C. | one-to-many. |
| D. | many-to-one. |
| Answer» C. one-to-many. | |
| 17. |
Fact tables are ___________. |
| A. | completely demoralized. |
| B. | partially demoralized. |
| C. | completely normalized. |
| D. | partially normalized. |
| Answer» C. completely normalized. | |
| 18. |
_______________ is the goal of data mining. |
| A. | To explain some observed event or condition. |
| B. | To confirm that data exists. |
| C. | To analyze data for expected relationships. |
| D. | To create a new data warehouse. |
| Answer» A. To explain some observed event or condition. | |
| 19. |
Business Intelligence and data warehousing is used for ________. |
| A. | Forecasting. |
| B. | Data Mining. |
| C. | Analysis of large volumes of product sales data. |
| D. | All of the above. |
| Answer» D. All of the above. | |
| 20. |
The data administration subsystem helps you perform all of the following, except__________. |
| A. | backups and recovery. |
| B. | query optimization. |
| C. | security management. |
| D. | create, change, and delete information. |
| Answer» D. create, change, and delete information. | |
| 21. |
The most common source of change data in refreshing a data warehouse is _______. |
| A. | queryable change data. |
| B. | cooperative change data. |
| C. | logged change data. |
| D. | snapshot change data. |
| Answer» A. queryable change data. | |
| 22. |
________ are responsible for running queries and reports against data warehouse tables. |
| A. | Hardware. |
| B. | Software. |
| C. | End users. |
| D. | Middle ware. |
| Answer» C. End users. | |
| 23. |
Query tool is meant for __________. |
| A. | data acquisition. |
| B. | information delivery. |
| C. | information exchange. |
| D. | communication. |
| Answer» A. data acquisition. | |
| 24. |
Classification rules are extracted from _____________. |
| A. | root node. |
| B. | decision tree. |
| C. | siblings. |
| D. | branches. |
| Answer» B. decision tree. | |
| 25. |
Dimensionality reduction reduces the data set size by removing ____________. |
| A. | relevant attributes. |
| B. | irrelevant attributes. |
| C. | derived attributes. |
| D. | composite attributes. |
| Answer» B. irrelevant attributes. | |
| 26. |
___________ is a method of incremental conceptual clustering. |
| A. | CORBA. |
| B. | OLAP. |
| C. | COBWEB. |
| D. | STING. |
| Answer» C. COBWEB. | |
| 27. |
Effect of one attribute value on a given class is independent of values of other attribute is called _________. |
| A. | value independence. |
| B. | class conditional independence. |
| C. | conditional independence. |
| D. | unconditional independence. |
| Answer» A. value independence. | |
| 28. |
The main organizational justification for implementing a data warehouse is to provide ______. |
| A. | cheaper ways of handling transportation. |
| B. | decision support. |
| C. | storing large volume of data. |
| D. | access to data. |
| Answer» C. storing large volume of data. | |
| 29. |
Multidimensional database is otherwise known as____________. |
| A. | RDBMS |
| B. | DBMS |
| C. | EXTENDED RDBMS |
| D. | EXTENDED DBMS |
| Answer» B. DBMS | |
| 30. |
Data warehouse architecture is based on ______________. |
| A. | DBMS. |
| B. | RDBMS. |
| C. | Sybase. |
| D. | SQL Server. |
| Answer» B. RDBMS. | |
| 31. |
Source data from the warehouse comes from _______________. |
| A. | ODS. |
| B. | TDS. |
| C. | MDDB. |
| D. | ORDBMS. |
| Answer» A. ODS. | |
| 32. |
________________ is a data transformation process. |
| A. | Comparison. |
| B. | Projection. |
| C. | Selection. |
| D. | Filtering. |
| Answer» D. Filtering. | |
| 33. |
The technology area associated with CRM is _______________. |
| A. | specialization. |
| B. | generalization. |
| C. | personalization. |
| D. | summarization. |
| Answer» C. personalization. | |
| 34. |
SMP stands for _______________. |
| A. | Symmetric Multiprocessor. |
| B. | Symmetric Multiprogramming. |
| C. | Symmetric Metaprogramming. |
| D. | Symmetric Microprogramming. |
| Answer» A. Symmetric Multiprocessor. | |
| 35. |
__________ are designed to overcome any limitations placed on the warehouse by the nature of the relational data model. |
| A. | Operational database. |
| B. | Relational database. |
| C. | Multidimensional database. |
| D. | Data repository. |
| Answer» C. Multidimensional database. | |
| 36. |
MDDB stands for ___________. |
| A. | multiple data doubling. |
| B. | multidimensional databases. |
| C. | multiple double dimension. |
| D. | multi-dimension doubling. |
| Answer» B. multidimensional databases. | |
| 37. |
______________ is data about data. |
| A. | Metadata. |
| B. | Microdata. |
| C. | Minidata. |
| D. | Multidata. |
| Answer» A. Metadata. | |
| 38. |
___________ is an important functional component of the metadata. |
| A. | Digital directory. |
| B. | Repository. |
| C. | Information directory. |
| D. | Data dictionary. |
| Answer» C. Information directory. | |
| 39. |
EIS stands for ______________. |
| A. | Extended interface system. |
| B. | Executive interface system. |
| C. | Executive information system. |
| D. | Extendable information system. |
| Answer» C. Executive information system. | |
| 40. |
___________ is data collected from natural systems. |
| A. | MRI scan. |
| B. | ODS data. |
| C. | Statistical data. |
| D. | Historical data. |
| Answer» A. MRI scan. | |
| 41. |
_______________ is an example of application development environments. |
| A. | Visual Basic. |
| B. | Oracle. |
| C. | Sybase. |
| D. | SQL Server. |
| Answer» A. Visual Basic. | |
| 42. |
The term that is not associated with data cleaning process is ______. |
| A. | domain consistency. |
| B. | deduplication. |
| C. | disambiguation. |
| D. | segmentation. |
| Answer» D. segmentation. | |
| 43. |
____________ are some popular OLAP tools. |
| A. | Metacube, Informix. |
| B. | Oracle Express, Essbase. |
| C. | HOLAP. |
| D. | MOLAP. |
| Answer» A. Metacube, Informix. | |
| 44. |
Capability of data mining is to build ___________ models. |
| A. | retrospective. |
| B. | interrogative. |
| C. | predictive. |
| D. | imperative. |
| Answer» C. predictive. | |
| 45. |
_____________ is a process of determining the preference of customer's majority. |
| A. | Association. |
| B. | Preferencing. |
| C. | Segmentation. |
| D. | Classification. |
| Answer» B. Preferencing. | |
| 46. |
Strategic value of data mining is ______________. |
| A. | cost-sensitive. |
| B. | work-sensitive. |
| C. | time-sensitive. |
| D. | technical-sensitive. |
| Answer» C. time-sensitive. | |
| 47. |
____________ proposed the approach for data integration issues. |
| A. | Ralph Campbell. |
| B. | Ralph Kimball. |
| C. | John Raphlin. |
| D. | James Gosling. |
| Answer» B. Ralph Kimball. | |
| 48. |
The terms equality and roll up are associated with ____________. |
| A. | OLAP. |
| B. | visualization. |
| C. | data mart. |
| D. | decision tree. |
| Answer» C. data mart. | |
| 49. |
Exceptional reporting in data warehousing is otherwise called as __________. |
| A. | exception. |
| B. | alerts. |
| C. | errors. |
| D. | bugs. |
| Answer» B. alerts. | |
| 50. |
____________ is a metadata repository. |
| A. | Prism solution directory manager. |
| B. | CORBA. |
| C. | STUNT. |
| D. | COBWEB. |
| Answer» A. Prism solution directory manager. | |
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