71. Production of MIS includes
72. Match the following IT terminolgies and functions supported by them.
List-I
List-II
a. Four - part numeric address indicating a unique computer location on the internet.
1. DNS
b. A hierarchical system of services maintaining databases enabling the conversion of domain names of their IP address.
2. Gopher
c. Tool for retrieving and transferring file form a remote computer.
3. IP
d. A tool that enables the user to locale
information stored on Internet Servers though a series of easy-to-use hierarchial menus.
4. FTP
| List-I | List-II |
| a. Four - part numeric address indicating a unique computer location on the internet. | 1. DNS |
| b. A hierarchical system of services maintaining databases enabling the conversion of domain names of their IP address. | 2. Gopher |
| c. Tool for retrieving and transferring file form a remote computer. | 3. IP |
| d. A tool that enables the user to locale information stored on Internet Servers though a series of easy-to-use hierarchial menus. | 4. FTP |
73. DBMS file contains
74. Attributes of the information includes
75. Arrange the steps of process of DSS.
1. Implementation
2. Choice
3. Design
4. Intelligence
Select the correct answer:
1. Implementation
2. Choice
3. Design
4. Intelligence
Select the correct answer:
76. Which of the following is not a technology driver for an information system?
77. Cost accounting systems includes
78. Which of the following statement is/are correct?
79. Which of the following is not a feature of data warehouse?
80. Which of the following statements are true?
Statement I Big data refers to no precise quantity, but generally refers to data in the range of Petabytes and Exabyte, i.e. billions to trillions of records, all from various sources. Big data is generated much faster. than traditional data in much larger quantities.
Statement II Big data interests industries because they are able to learn more patterns and curious variances than smaller data sets, with the capability to provide valuable insights into consumer behaviour, weather systems, financial market activity, or other phenomena.
Statement III Various departments and product lines use various applications within most organisations and store data in separate datasets. These separate databases may contain similar data, but data from one data base to another is not always consistent. This is called data silo.
Statement I Big data refers to no precise quantity, but generally refers to data in the range of Petabytes and Exabyte, i.e. billions to trillions of records, all from various sources. Big data is generated much faster. than traditional data in much larger quantities.
Statement II Big data interests industries because they are able to learn more patterns and curious variances than smaller data sets, with the capability to provide valuable insights into consumer behaviour, weather systems, financial market activity, or other phenomena.
Statement III Various departments and product lines use various applications within most organisations and store data in separate datasets. These separate databases may contain similar data, but data from one data base to another is not always consistent. This is called data silo.
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