Answer and Explanation:
Centralized : Central node in the system gets whole data about the system topology, about the traffic and about different hubs. This at that point transmits this data to the particular switches. The benefit of this is just a single hub is required to keep the data. The hindrance is that if the focal hub goes down the whole system is down, for example single purpose of disappointment.
Distributed: Distributed nodes gets data from its neighboring hubs and afterward takes the choice about what direction to send the parcel. The weakness is that if in the middle of the interim it gets data and sends the parcel something changes then the bundle might be deferred.
Example :
Link State takes Centralized approach
Distance Vector takes Decentralize approach
Answer:
You use an append query when you need to add new records to an existing table by using data from other sources. If you need to change data in an existing set of records, such as updating the value of a field, you can use an update query.
<span>In computer graphics, a raster graphics or bitmap image is a dot
matrix data structure, representing a generally rectangular grid of
pixels, or points of color, viewable via a monitor, paper, or other
display medium.</span>
True, but it won't be in the same namespace. See below:
>>> import time
>>> print time.time()
1510180694.04
>>> quit()
By doing a straight import I have to reference the namespace time and the function time. (Yeh, I should have picked a different example, but I couldn't think of any)
>>> from time import time
>>> time()
1510180718.76834
>>> quit()
By doing the from, I import the time function into the __main__ namespace so I don't need to reference a name space when I call it.