MIST 4610 Question and answers rated A+ 2024 MIST 4610 - EXAM 1 (Multiple Choice Study Guide)
Data Management - correct answer Data management is the development and execution of architectures, policies, practices and procedures in order to manage the information lifecycle needs of an enterpr...
MIST 4610 - EXAM 1 (Multiple Choice
Study Guide)
Data Management - correct answer ✔Data management is the development
and execution of architectures, policies, practices and procedures in order to
manage the information lifecycle needs of an enterprise in an effective
manner. (Google definition)
Challenges posed with the data deluge - correct answer ✔1. Protecting
Privacy
2. Providing Security
3. Saving Energy
4. Extracting Value
2 types of data management - correct answer ✔Individual and
Organizational
what is high frequency trading? - correct answer ✔computerized trading that
makes data trades in pretty much everything at a very fast rate
External memory vs internal memory - correct answer ✔Internal is small,
fast, and convenient
External is larger, slower, and not as convenient
4 Common features to all data management systems (both individual and
organizational) - correct answer ✔1. there is a storage medium
2. there is a structure for storing data
,3. the storage device is organized for rapid data entry and retrieval
4. the selection of data management system frequently requires a tradeoff
decision
what is a table? - correct answer ✔a common structure for storing data
what is the key goal to nearly all data management systems? - correct
answer ✔rapid data access, but it always comes at a price
what is TPS? - correct answer ✔a transaction processing system that
handles common business tasks such as accounting, inventory, purchasing,
and sales
NAME THAT ACRONYM
- TPS
- MIS
- DSS
- EIS
- OLAP
- BI - correct answer ✔- Transaction Processing System
- Management Information Systems
- Decision Support System
- Executive Information Systems
- Online Analytical Processing
- Business Intelligence
,what is DSS? - correct answer ✔a decision support system that supports
managerial decision making by providing models for processing and analyzing
data
what is EIS? - correct answer ✔an executive information system that
provides senior management with information necessary to monitor
organizational performance and develop and implement strategies
what is OLAP? - correct answer ✔an online analytical process that presents
a multidimensional logical view of data
what is data mining? - correct answer ✔use statistical analysis and artificial
intelligence techniques to identify hidden relationships in data
what is BI? - correct answer ✔business intelligence used to gather, store,
and analyze data to improve decision making
The information systems cycle - correct answer ✔1. the organization is
process by TPSs
2. data collected by TPSs are stored in databases
3. these data are converted into information by analysts using a variety of
software
4. these technologies are used by the organization to prepare for the future
5. the business systems created to prepare for the future determine the
transactions the company will process and the data will be collected
6. the process continues...
6 Desirable Attributes of Data - correct answer ✔1. Sharable (readily
accessed by more than one person at a time)
2. Transportable (easily moved to a decision maker)
, 3. Secure (protected from destruction and unauthorized use)
4. Accurate (reliable, precise records)
5. Timely (current and up-to-date)
6. Relevant (appropriate to the decision)
what is metamemory? - correct answer ✔peoples recollection of how to use
organizational memory
what is GIS? - correct answer ✔a geographic information system that is a
specialized graphical storage system for geographical data...a map on which
data are displayed
5 Problems with data management systems - correct answer ✔1.
Redundancy (same data are stored in different systems)
2. Lack of data control (data are poorly managed)
3. Poor Interface (data are difficult to access)
4. Lack of reality (data management systems do not reflect the complexity of
the real world)
5. Lack of data integration (data are dispersed across different systems)
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