McqMate
These multiple-choice questions (MCQs) are designed to enhance your knowledge and understanding in the following areas: Computer Science Engineering (CSE) , Information Technology Engineering (IT) .
| 1. |
__________ is a subject-oriented, integrated, time-variant, nonvolatile collection of data in support of management decisions. |
| A. | Data Mining |
| B. | Data Warehousing |
| C. | Web Mining |
| D. | Text Mining |
| Answer» B. Data Warehousing | |
| 2. |
The data Warehouse is __________. |
| A. | Read only |
| B. | Write only |
| C. | Read write only |
| D. | None |
| Answer» A. Read only | |
| 3. |
Expansion for DSS in DW is _________. |
| A. | Decision Support system |
| B. | Decision Single System |
| C. | Data Storable System |
| D. | Data Support System |
| Answer» A. Decision Support system | |
| 4. |
The important aspect of the data warehouse environment is that data found within the data warehouse is__________. |
| A. | subject-oriented |
| B. | time-variant |
| C. | integrate |
| D. | D All of the above |
| Answer» D. D All of the above | |
| 5. |
The time horizon in Data warehouse is usually__________. |
| A. | 1-2 years |
| B. | 3-4years |
| C. | 5-6 years |
| D. | 5-10 years |
| Answer» D. 5-10 years | |
| 6. |
The data is stored, retrieved & updated in___________. |
| A. | OLAP |
| B. | OLTP |
| C. | SMTP |
| D. | FTP |
| Answer» B. OLTP | |
| 7. |
__________describes the data contained in the data warehouse. |
| A. | Relational data |
| B. | Operational data |
| C. | Metadata |
| D. | Informational data |
| Answer» C. Metadata | |
| 8. |
__________predicts future trends & behaviors, allowing business managers to make proactive, knowledge-driven decisions. |
| A. | Data warehouse |
| B. | Data mining |
| C. | Data marts |
| D. | Metadata |
| Answer» B. Data mining | |
| 9. |
_________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 | |
| 10. |
_________is the specialized data warehouse database. |
| A. | Oracle |
| B. | DBZ |
| C. | Informix |
| D. | Redbrick |
| Answer» D. Redbrick | |
| 11. |
___________defines the structure of the data held in operational databases and used by operational applications. |
| A. | User-level metadata |
| B. | Data warehouse metadata |
| C. | Operational metadata |
| D. | Data mining metadata |
| Answer» C. Operational metadata | |
| 12. |
_________is held in the catalog of the warehouse database system. |
| A. | Application level metadata |
| B. | Algorithmic level metadata |
| C. | Departmental level metadata |
| D. | Core warehouse metadata |
| Answer» B. Algorithmic level metadata | |
| 13. |
__________maps the core warehouse metadata to business concepts, familiar and useful to end users. |
| A. | Application level metadata |
| B. | User level metadata |
| C. | Enduser level metadata |
| D. | Core level metadata |
| Answer» A. Application level metadata | |
| 14. |
____________ consists of formal definitions, such as a COBOL layout or a database schema. |
| A. | Classical metadata |
| B. | Transformation metadata |
| C. | Historical metadata |
| D. | Structural metadata |
| Answer» A. Classical metadata | |
| 15. |
________consists of information in the enterprise that is not in classical form. |
| A. | Mushy metadata |
| B. | Differential metadata |
| C. | Data warehouse |
| D. | Data mining |
| Answer» A. Mushy metadata | |
| 16. |
________ Databases are owned by particular departments or business groups. |
| A. | Informational |
| B. | Operational |
| C. | Both informational and operational |
| D. | Flat |
| Answer» B. Operational | |
| 17. |
The star schema is composed of __________ fact table. |
| A. | one |
| B. | Two |
| C. | Three |
| D. | four |
| Answer» A. one | |
| 18. |
The time horizon in operational environment is ________. |
| A. | 30-60 days |
| B. | 60-90 days |
| C. | 90-120 days |
| D. | 120-150 days |
| Answer» B. 60-90 days | |
| 19. |
The key used in operational environment may not have an element of _________. |
| A. | Time |
| B. | Cost |
| C. | Frequency |
| D. | Quality |
| Answer» A. Time | |
| 20. |
Data can be updated in ______ environment. |
| A. | Data warehouse |
| B. | Data mining |
| C. | Operational |
| D. | Informational |
| Answer» C. Operational | |
| 21. |
Record cannot be updated in__________. |
| A. | OLTP |
| B. | Files |
| C. | RDBMS |
| D. | data warehouse |
| Answer» D. data warehouse | |
| 22. |
The source of all data warehouse data is the__________. |
| A. | Operational environment |
| B. | Informal environment |
| C. | Formal environment |
| D. | Technology environment |
| Answer» A. Operational environment | |
| 23. |
Data warehouse contains ______data that is never found in the operational environment. |
| A. | Normalized |
| B. | Informational |
| C. | Summary |
| D. | Denormalized |
| Answer» C. Summary | |
| 24. |
The modern CASE tools belong to_________category. |
| A. | Analysis |
| B. | Development |
| C. | Coding |
| D. | Delivery |
| Answer» A. Analysis | |
| 25. |
Bill Inmon has estimated___________of the time required to build a data warehouse, is consumed in the conversion process. |
| A. | 10 percent |
| B. | 20 percent |
| C. | 30 percent |
| D. | 40 percent |
| Answer» D. 40 percent | |
| 26. |
Detail data in single fact table is otherwise known as__________. |
| A. | Monoatomic data |
| B. | Diatomic data |
| C. | Atomic data |
| D. | Multiatomic data |
| Answer» C. Atomic data | |
| 27. |
______test is used in an online transactional processing environment. |
| A. | MEGA |
| B. | MICRO |
| C. | MACRO |
| D. | ACID |
| Answer» D. ACID | |
| 28. |
______is a good alternative to the star schema. |
| A. | Star schema |
| B. | Snowflake schema |
| C. | Fact constellation |
| D. | Star-snowflake schema |
| Answer» C. Fact constellation | |
| 29. |
The biggest drawback of the level indicator in the classic star-schema is thatit limits_________. |
| A. | Quantify |
| B. | Qualify |
| C. | Flexibility |
| D. | Ability |
| Answer» C. Flexibility | |
| 30. |
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 | |
| 31. |
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 | |
| 32. |
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 | |
| 33. |
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 | |
| 34. |
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 | |
| 35. |
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 adde |
| D. | 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 | |
| 36. |
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 supportsystems |
| Answer» B. Capturing a subset of the data contained in various operational systems | |
| 37. |
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 | |
| 38. |
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 | |
| 39. |
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 | |
| 40. |
______ 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 | |
| 41. |
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 | |
| 42. |
Fact tables are_______. |
| A. | Completely demoralized |
| B. | Partially demoralized |
| C. | Completely normalize |
| D. | D Partially normalized |
| Answer» C. Completely normalize | |
| 43. |
____________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 | |
| 44. |
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 | |
| 45. |
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 | |
| 46. |
The most common source of change data in refreshing a data warehouse is__________. |
| A. | Query able change data |
| B. | Cooperative change data |
| C. | Logged change data |
| D. | Snapshot change data |
| Answer» A. Query able change data | |
| 47. |
___________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 | |
| 48. |
Query tool is meant for_________. |
| A. | Data acquisition |
| B. | Information delivery |
| C. | Information exchange |
| D. | Communication |
| Answer» A. Data acquisition | |
| 49. |
Classification rules are extracted from____________. |
| A. | Root node |
| B. | Decision tree |
| C. | Siblings |
| D. | Branches |
| Answer» B. Decision tree | |
| 50. |
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 | |
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