answer 3, Databane 4. In the big data era, Newto and Nerpret data is more import
ID: 3816364 • Letter: A
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answer 3, Databane 4. In the big data era, Newto and Nerpret data is more important how to collect data. s. Analyzing data paterns within the big data and turning them into actionable knowledge 8 Predictive modeling, Rreoastrg and optimization are traditional ERP solutions True 7. The main objective business intelligenoe (B) systems is to support effective decision-making rather than emioient business transaction processing 8. Customer name and purchasing data tor example, Scott Bible, $300, Apple mini iPad, April 4 2015 is a typical example of META data 9. Data mart is an Enterprise-wide database that stores consistent integrated and historical data to support all business units 10. A local area network (LAN connects multiple communicating devices in a limited geographica area and multiple LANs can be connect to WAN. 11, Bandwidth is a network capacity for data transmission, measured by bits per second. 12. TCPAP is a specific type of device or computer to send data through Internet. False 13, Domain Name System (DNS) server maps IP address to a name (URL). FalseExplanation / Answer
1. Database management is mandatory for successful data governance and master data management to provide a consistent, accurate 'single version of truth'
Answer : True
Database management is mandatory for successful data governance and master data management. This is important to manage and administer increasingly complex classes of information or data. This is required to achieve operational cost and cost efficiency in the corporate world. This Database management approach is required for a structured and standardized governance of data.
2. Logical database design (logical model) is to draw ERD and turn it to SQL.
Answer : True
As the database grows over time and data, the ER Diagram representation becomes difficult and complicated to understand. Hence this ERD is converted into tables and columns creating relational data model which is nothing but logically designing the data in the database.
3. Database management systems (DBMS) is an enterprise information system that mainly manages business transactions.
Answer : False
DataBase Management System (DBMS) is a system software to create, retrieve, manage, manipulate and delete data which are held in databases.
4. In the big data era, how to process and interpret data is more important than how to collect data.
Answer : True.
Big Data analytics is the science of processing, manipulating, retrieving and interpretting data. This is important in the increasing data volumes and in their varied data in the corporate and business world. This is required for revenue opportunities, efficient running of businesses, marketing effectively and operating efficiently.
5. Analyzing data, extracting patterns within the big data, and turning them into actionable knowledge are generally done by online transaction processing (OLTP) systems.
Answer : False
Analyzing data, extracting patterns within the big data, and turning them into actionable knowledge are generally done by online Analytical processing (OLAP) systems.
6. Predictive modeling, forecasting and optimization are traditional ERP solutions.
Answer : False
Predictive modeling, forecasting and optimization are Cloud ERP solutions. Due to the fact the ERP solutions are hosted on cloud which is scalable, very less or no hardware cost incurred, security, high availability and reliable.
7. The main objective of business intelligence (BI) systems is to support effective decision-making rather than efficient business transaction processing.
Answer : True
8. Customer name and purchasing data, for example, "Scott Bible, $300, Apple mini iPad, April 4 2015" is a typical example of META data.
Answer : True
Example :Key : Name
Value : Scott Bible
Key : Price
Value : $300
Key : Product
Value : Apple mini iPad
Key : Date
Value : April 4 2015
9. Data mart is an Enterprise-wide database that stores consistent integrated and historical data to support all business units.
Answer : False
Data Warehouse is an Enterprise-wide database that stores consistent integrated and historical data to support all business units.
Whereas Data mart is only a subset of Data Warehouse.
10. A Local Area Network (LAN) connects multiple communicating devices in a limited geographical area and multiple LANs can be connect to WAN.
Answer : True
A Local Area Network (LAN) is a Computer Network meant for small area or range spanning from 100 to 1000 meters (Example : LAN in a one's house, floor, campus, building). Multiple LANs connect and make a WAN (Wide Area Network) spanning from 100 to 1,000 Kilometers (Example : Internet)
11. Bandwidth is a network capacity for data transmission, measured by bits per second.
Answer : True
Bandwidth in Computer Networks is the amount of data (in bits) transmitted in a fixed amount of time (Unit being in seconds). Example 10 bps (10 bits per second) or Bytes per second, example : 10 MBps (10 Mega Bytes per second). 1 Byte = 8 bits.
12. TCP/IP is a specific type of device or computer to send data through Internet.
Answer : False.
TCP/IP is NOT a specific type of device or computer to send data through Internet. TCP/IP (Transmission Control Protocol / Internet Protocol) in the Computer Network world is actually a protocol or communication language which works or fits in the Network - Layer 3 of the OSI (Open Syetems Interconnection) Reference model. This protocol is responsible for the effective communication of two computers to connect between themselves and send data through packets form.
13
. Domain Name System (DNS) server maps IP address to a name (URL).
Answer : True
Domain Name System (DNS) (or Service) server is an Internet service in general which maps or translates human
readable domain names (website names or URL, Uniform Resource Locator) into machine or Computer readable IP (Internet Protocol) addresses. Example: Domain name = www.example.com whose Server IP address is, say = 203.36.226.2
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