Answer:
Social Engineering
Explanation:
Even if you invest in the best possible security infrastructure for your corporate network, you will still be vulnerable to attacks which exploit human shortcomings. An example is where an attacker manipulates a company employee to get the system access password in return for a favour. Now he can use the password to bypass all security infrastructure and gain access to critical data and code.
Answer:
couple.py
def couple(s1,s2):
newlist = []
for i in range(len(s1)):
newlist.append([s1[i],s2[i]])
return newlist
s1=[1,2,3]
s2=[4,5,6]
print(couple(s1,s2))
enum.py
def couple(s1,s2):
newlist = []
for i in range(len(s1)):
newlist.append([s1[i],s2[i]])
return newlist
def enumerate(s,start=0):
number_Array=[ i for i in range(start,start+len(s))]
return couple(number_Array,s)
s=[6,1,'a']
print(enumerate(s))
print(enumerate('five',5))
Explanation:
Multiply what he makes a month by six
D) Andean mountains are formed due to the collision of two different kinds of plates.
Answer:
A: used by ISP's to filter out email SPAM
C: a way to help an individual focus on best choices when deciding what to watch or buy.
Explanation:
Collaborative filtering uses a community-based approach to filter spam. It works by collecting numerous email users from around the world. By doing this, it becomes possible for users to flag emails that are spam and those that are legitimate.
Also Collaborative Filtering is one of the most efficient techniques for building a system that can help a user when it comes to recommending best choices based on information from a large number of users.
