Answer:
A SEPARATE FACILITY WITH COMPUTER EQUIPMENT THAT REQUIRES INSTALLATION AND CONFIGURATION.
Explanation:
A backup site or work area recovery site is a location where an organization can relocate following a disaster, such as fire, flood, terrorist threat or other disruptive event. There are three types: hot site, cold site and warm site.
A warm site is a type of facility an organization uses to recover its technology infrastructure when its primary data center goes down.
Warm sites might have backups on hand, but they may not be complete this means that a warm site is configured with power, phone, network etc. may have servers and other resources. But a warm site is not ready for immediate switch over because it still needs to be installed and configured.
Therefore, a warm site is A SEPARATE FACILITY WITH COMPUTER EQUIPMENT THAT REQUIRES INSTALLATION AND CONFIGURATION.
Outlines because you would not want the audience to know what exactly is on the slides, but just an outline to give them an idea of what is to come.
After a group sets a project schedule, members should be prepared to complete a study-time survey to prove they can do the work.
<h3>What is a group project?</h3>
A group project is a project in which more than one person work together. Group projects are given to improve the work, as various minds can bring out various implements for the project.
Thus, the correct option is D. complete a study-time survey to prove they can do the work.
Learn more about group project
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Answer:
it allows people to distract themselves from the things going on, it also entertains people
Explanation:
hope this helps
Answer:
The solution code is written in Python 3.
- def processCSV(CSV_string, index):
- data = CSV_string.split(",")
- result = data[index]
- return int(result)
-
- processCSV('111,22,3333,4', 2)
Explanation:
Firstly, create function and name it as <em>processCSV()</em> with two parameters, <em>CSV_string</em> and <em>index</em> (Line 1).
Since the CSV_string is a collection of integers separated by comma, we can make use of Python String built-in method <em>split() </em>to convert the <em>CSV_string </em>into a list of numbers by using "," as separator (Line 2).
Next, we can use the <em>index</em> to extract the target value from the list (Line 3).
Since the value in the list is still a string and therefore we shall use Python built-in method int() to convert the target value from string type to integer and return it as output of the function (Line 4)
We can test our function by using the sample test case (Line 6) and we shall see the expected output: 3333.
