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Georgia [21]
2 years ago
13

________ is the general name for a security flaw in a program. Group of answer choices A security fault A virus Malware A vulner

ability
Computers and Technology
1 answer:
Norma-Jean [14]2 years ago
4 0

Answer:

Hi there it is A vulnerability

Explanation:

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Explain the components of Information System?​
slavikrds [6]

Answer:

An information system is essentially made up of five components hardware, software, database, network and people. These five components integrate to perform input, process, output, feedback and control. Hardware consists of input/output device, processor, operating system and media devices.

Explanation:

7 0
3 years ago
What is an example of constructive criticism for an employee who is shy during meetings?
rewona [7]
<span>Speak up more so people don't think you're rude</span>
8 0
3 years ago
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If an occupation is projected to grow by 13% over the next 10 years, how would you rate the job outlook?
Elena L [17]

Answer:

Steady

Explanation:

Its not an insane growth rate but it would more then likely be Steady.

6 0
3 years ago
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Mainframe computers are multi-programming, high-performance computers, and multi-user, which means it can handle the workload of
Vilka [71]

Answer:

a. True

Explanation:

A computer can be defined as an electronic device that is capable of receiving of data in its raw form as input and processes these data into information that could be used by an end user. Computers can be classified on the basis of their size and capacity as follows;

I. Supercomputers.

II. Mainframe computers.

III. Mini computers.

IV. Micro computers.

Mainframe computers were developed and introduced in the early 1950s.

Mainframe computers are specifically designed to be used for performing multi-programming because they are high-performance computers with the ability to handle multiple users. As a result, it simply means that mainframe computers can be used to effectively and efficiently perform the work of over one hundred (100) users at a time on the computer. Some examples of mainframe computers include the following; IBM Es000 series, CDC 6600 and ICL39 Series.

Furthermore, mainframe computers are mostly or commonly used by large companies, business firms or governmental institutions for performing various complex tasks such as census, financial transactions, e-commerce, data sequencing, enterprise resource planning, etc.

8 0
2 years ago
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Create a function that will perform linear interpolation from a set of measured data stored in a list or array. The function sho
wel

Answer:

This question is incomplete, here is the complete question:

Python

a) You should create a function that will perform linear interpolation from a set of measured data. The function should take as input a list of values at which samples were taken, and then another list giving the measurements (you can assume each measurement is a single value) at those values. It should also take in a query value, and should give the best estimate it can of the value at that query. Be sure to handle values that are outside of the range, by extrapolating. You should write a program that allows you to test your function by reading the lists from a file where each line of the file is a pair of numbers separated by spaces: the value where the sample was taken, and the measurement at that value. Your program should ask the user for the name of the file and for a query value. Important: The two lists will correspond to each other: i.e. for the i-th value in the first list, the measurement will be the i-th element of the second list (these are called parallel lists or arrays). But, you should not assume that the input values are in increasing/decreasing order. That is, the values in the first list can be in any random ordering, not necessarily from smallest to largest or largest to smallest. You will have to account for this in your program, and there is more than one way to do so. You should discuss what options you can think of to handle the data arriving in any order like that, and decide what you think the best option for handling it is.

Explanation:

from __future__ import division

from cStringIO import StringIO

import numpy as np

from scipy.interpolate import RectBivariateSpline

np.set_printoptions( 1, threshold=100, edgeitems=10, suppress=True )

   # a file inline, for testing --

myfile = StringIO( """

# T P1 P2 P3 P4

0,   80,100,150,200

75, 400,405,415,430

100, 450,456,467,483

150, 500,507,519,536

200, 550,558,571,589

""" )

   # file -> numpy array --

   # (all rows must have the same number of columns)

TPU = np.loadtxt( myfile, delimiter="," )

P = TPU[0,1:] # top row

T = TPU[ 1:,0] # left col

U = TPU[1:,1:] # 4 x 4, 400 .. 589

print "T:", T

print "P:", P

print "U:", U

interpolator = RectBivariateSpline( T, P, U, kx=1, ky=1 ) # 1 bilinear, 3 spline

   # try some t, p --

for t, p in (

   (75, 80),

   (75, 200),

   (87.5, 90),

   (200, 80),

   (200, 90),

   ):

   u = interpolator( t, p )

   print "t %5.1f p %5.1f -> u %5.1f" % (t, p, u)

8 0
3 years ago
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