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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