Answer:
no
Explanation:
because it could be a scam
<span>We see color because an object that has light striking it reflects the color we see. The object </span>has certain chemicals in it that when illuminated, absorbs the color we see, reflects the color we see, <span>refracts all colors but the one we see.</span>
Answer:(C) Anyone with access to the personal computers could log on to the mainframe.
Explanation:
It is no doubt that log on procedures are cumbersome so what most users do is that they store log on sequences in their computer so that they could use the main frame facilities whenever they access it the second time.
Here we have to identify the associated risk with this approach.
This process could lead to access of the computer system to users and thereby making all the data available in the system vulnerable. So option C is correct.
option (A) is incorrect as the back up option who also be affected when the system is accessible to anyone.
option (B) is incorrect because it has nothing to do anything with training of the personnel.
option (D) is incorrect because it one has nothing to do with the physical system what vulnerable reside is inside the system.
Answer:
The solution code is written in Python 3
- import random
- import string
-
- def simulate_several_key_strikes(l):
- char_set = string.ascii_lowercase
- return ''.join(random.choice(char_set) for i in range(l))
-
- print (simulate_several_key_strikes(10))
Explanation:
The program is aimed to generate random characters and the number of characters generated is dependent on user input. Hence, we will need to import the random module (Line 1). We also import string module so that we can make use of its associated method to generate English letters (Line 2)
Next, we create the function simulate_several_key_strikes that takes one single parameter, l, as input. Within the function body, we use ascii_lowercase method to generate the lowercase letter set and assign it to char_set variable (Line 5). We use random.choice method to randomly pick one of the letter in char_set and join it with an empty string (Line 6). Please note there is a for-loop that will repeatedly generate l-number of character and eventually return it as output.
We test the function by passing 10 as input parameter and we shall get a sample output as follows:
xuiczuskoj
Answer:
Machine Learning algorithms can predict patterns based on previous experiences. These algorithms find predictable, repeatable patterns that can be applied to eCommerce, Data Management, and new technologies such as driverless cars..