Answer:
The correct option is a.
A business that collects personal information about consumers and sells that information to other organizations.
Explanation:
Data brokers, also known as data suppliers, data fetchers, information brokers, or even data providers are businesses or companies (even individuals) that, on the most basic level, source and aggregate data and information (mostly information that are meant to be confidential or that are in the real sense difficult to get) and then resell them to third parties. These third parties could be other data brokers.
They collect data and information from a wide range of resources and sources - offline and/or online e.g web access history, bank details, credit card information, official records (such as birth and marriage certificates, driver's licenses).
Brokers can steal round about any information. Examples of information that brokers legally or illegally steal are full name, residential address, marital status, age, gender, national identification number, bank verification number. Brokers and hackers are siblings.
A couple types of data brokers are:
1. Those for fraud detection
2. Those for risk mitigation
Hope this helps!
Answer:
Explanation:
The following is written in Python and uses exception handling to do exactly as requested. It then goes adding all of the integer values to an array called num_list and finally adding them all together when the function ends.
def in_values():
num_list = []
while True:
try:
num = input("Input non-zero floating point: ")
num = int(num)
if num == 0:
break
else:
num_list.append(num)
except ValueError:
print("No valid integer! Please try again ...")
try:
num = input("Input non-zero floating point: ")
num = int(num)
break
except ValueError:
break
sum = 0
for number in num_list:
sum += number
return sum
Answer:
I'll happy to help
Explanation:
Please make your clear. I couldn't understand!
The best scenario is when a program suffers from frequent
page faults. In the situations when a kernel thread experiences a page fault,
another kernel thread can be switched in; something a single-threaded process
will not be capable of doing. Another best circumstance is when a program has
to wait for other systems events.
The answer would be B. An increase in the price of a complement.
