Answer:
B. GRID COMPUTING , ON - DEMAND COMPUTING AND REAL TIME COMPUTING
Explanation:
Grid computing, on-demand computing and real time computing are currently the most impactful information technology processes. The Grid computing from example entails distributed computing whereby computing resources are distributed across different systems for a computing task. This is seen in server systems where a super virtual computer composed of a network of computers are connected to share resources and perform large tasks. This form of computing has majorly affected and improved complex computing tasks today.
On demand and real time computing are also other notable trends in IT with real time computing bringing the power of live and direct coverage of information to our screens and on demand making it possible for the average user to access computing resources as needed such as in the services of cloud computing providers
Based on the scenario above about the leading-trailing system Both technician A and B are incorrect.
<h3>How many brake shoes function?</h3>
There are known to be two shoes function that are said to be working a way where both become either the trailing shoe or leading shoe based on whether the vehicle is moving forward or backward.
Therefore we can say that, Based on the scenario above about the leading-trailing system Both technician A and B are incorrect.
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OpenOffice se utiliza para organizar y presentar los datos o la información de otra manera.
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Answer:
Page Setup Grouping.
Explanation:
In Microsoft Word, Columns break up the page into, at max, 13 columns, and at minumum, 2. The way you go about doing this is
- Go to the Layout Tab
- Go to the Page setup Grouping
- Click on the Columns Action
- In the Dialog Box, choose either from one of the presents, or custom make your own column settings.
- Click Okay
- Done!
Answer:
see explaination for program code
Explanation:
scalar_product = 0
li=[]
li2=[]
#reading numbers1.txt and numbers2.txt intoli and li2 respectively
with open('numbers1.txt') as n1, open('numbers2.txt') as n2:
for line1 in n1:
li.append(int(line1))
for line2 in n2:
li2.append(int(line2))
#storing min list size into variable l
a=len(li)
b=len(li2)
if a<b:
l=a
else:
l=b
#calculating scalar product
for i in range(l):
scalar_product=scalar_product+li[i]*li2[i]
print("scalar product is",scalar_product)