Answer is given below
Explanation:
differences between a file-processing system and a database management system is given below
file-processing system
- File system is a software that manages and organizes the files in a storage medium within a computer.
- It doesn’t provide backup and recovery of data if it is lost.
- There is less data consistency in file system.
- File systems provide less security in comparison to DBMS.
- It is less complex as compared to DBMS.
database management system
- DBMS is a software for managing the database
- It provides backup and recovery of data even if it is lost.
- DBMS has more security mechanisms as compared to file system
- It has more complexity in handling as compared to file system.
- There is more data consistency because of the process of normalization.
A <span>stagflation is my answer.</span>
Answer:
The Last option: Dyadic Communication AND Interpersonal Communication
is the correct one.
Explanation:
Communication can be defined as the process in which one may convey his thoughts or inquires about things.
There are many types of communications as listed above.
- Intrapersonal Communication
- Interpersonal Communication
- Dyadic Communication
- Small Group Communication
- Public Communication
- Mass Communication
- Organizational Communication
- Intercultural Communication.
Under all these, Interpersonal communication and Dyadic communication are the ones that are between two people.
Dyadic communication is the one in which two people relate to exchange thoughts and ideas face-to-face. It is sometimes referred as dialogic relation.
Interpersonal relation can be between two or more than two persons that may know each other. It is clearly specified in this communication that who listener and speaker are.
<h3>I hope it will help you!</h3>
Answer:
Time Complexity of Problem - O(n)
Explanation:
When n= 1024 time taken is t. on a particular computer.
When computer is 8 times faster in same time t , n can be equal to 8192. It means on increasing processing speed input grows linearly.
When computer is 8 times slow then with same time t , n will be 128 which is (1/8)th time 1024.
It means with increase in processing speed by x factor time taken will decrease by (1/x) factor. Or input size can be increased by x times. This signifies that time taken by program grows linearly with input size n. Therefore time complexity of problem will be O(n).
If we double the speed of original machine then we can solve problems of size 2n in time t.
