Answer:
False
Explanation:
A symbolic link contains a text string that is automatically interpreted and followed by the operating system as a path to another file or directory. This other file or directory is called the "target". The symbolic link is a second file that exists independently of its target. If a symbolic link is deleted, its target remains unaffected. If a symbolic link points to a target, and sometime later that target is moved, renamed or deleted, the symbolic link is not automatically updated or deleted, but continues to exist and still points to the old target, now a non-existing location or file. Symbolic links pointing to moved or non-existing targets are sometimes called broken, orphaned, dead, or dangling.
Answer:
Memory.
Explanation:
When someone refers to "space" on a computer or device, they are usually referring to memory, which allows the user to save a file for future use, even after the computer has been turned off.
In Computer science, a memory is a term used to describe the available space or an electronic device that is typically used for the storage of data or any computer related information such as images, videos, texts, music, codes and folders. There are basically two (2) main types of memory;
1. Read only memory (ROM).
2. Random access memory (RAM).
Answer:
Answered below
Explanation:
#Program is written in Python.
sq_feet = int(input ("Enter paint area by square feet: ")
gallons = float(input (" Enter number of gallons: ")
paint_job_cost(sq_ft, gallons)
#Function
def paint_job_cost(sq_ft, gal){
gallon_cost = 0
cost_per_hour = 35
if sq_ft <= 2000:
gallon_cost = 9.53
else:
gallon_cost = 10.50
paint_cost = gal * gallon_cost
labour_hours = 8 * (sq_ft/112)
total_labour_cost = labour_hours * cost_per_hour
hazard_fee = 0.075 * paint_cost
total_cost = paint_cost + total_labour_cost + hazard fee
print (paint_cost)
print(labour_hours)
print (total_labour_cost)
print (hazard_fee)
print(total_cost)
}
Answer:
Bayesian filtering
The type of filtering software that divides email messages that have been received into two piles, spam and non-spam, and then analyzes every word in each email and determines how frequently a word occurs in the spam pile compared to the non-spam pile is known as Bayesian filtering.
Hope this helps you!
- Lex