Answer:
Three (3)
Explanation:
Explanation of the three basic terms here - Knowledge consistency checker, hops and domain controller - will give a clearer answer and explanation to the question as follows;
<em>Domain controller</em> : is a server controller that gives access or controls to users on computer networks by first responding to their authentication requests and verifying those users. In other words, a domain controller is a network security manager.
<em>Hop</em> : A hop is simply the passage of data packets from one network to another. As a packet moves from its source to destination, it moves from router to router. The number of such routers that the packet passes through is called a hop.
<em>The Knowledge Consistency Checker (KCC)</em> : It is the job of the KCC to ensure that these domain controllers participate in the replication promptly and orderly. Replication means copying data from one location to another (within a network or among networks). The KCC ensures that the maximum number of hops permitted is does not exceed 3. i.e no domain controller is more than 3 hops from any other domain controller within a network.
Note: Replication is of two types - intrasite (among all domain controllers within a site) and intersite (among all domain controllers in different sites), and the KCC can manage both type of replication. Also, by default, at every 15 minutes interval, a domain controller generates a replication topology (a logical map that dictates the domain controllers that will replicate with each other).
<em>Hope this helps!</em>
One of the founders of Foursquare is Dennis Crowley. The other is Naveen Selvadurai. I know you didn't ask for both but I wanted to give them to you just in case. I 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:
quicksort
Explanation:
There are many types of asymptotically efficient sorting algorithms that can be used but one of the more commonly used for large data lists would be quicksort. This is a sorting algorithm that focuses on choosing a value from the list and working around that value in order to sort the data piece by piece. For larger data sets this method is widely used due to its speed and efficiency which is exactly what Martha needs in this scenario.
