<h2>
Explanation:</h2>
Automation tools allow applications, businesses, teams or organizations to automate their processes which could be deployment, execution, testing, validation and so on. Automation tools help increase the speed at which processes are being handled with the main aim of reducing human intervention.
Linkedln automation tools are designed to help automate certain processes in Linkedln such as sending broadcast messages, connection requests, page following and other processes with less or no human or manual efforts. Some of these automation tools include;
i. <em>Sales navigator</em> for finding right prospects thereby helping to build and establish trusting relationships with these prospects.
ii. <em>Crystal </em>for providing insights and information about a specified Linkedln profile.
iii. <em>Dripify </em>used by managers<em> </em>for quick onboarding of new team members, assignment of roles and rights and even management of subscription plans.
Answer:
Quarantine the computer.
Explanation:
Malware can be characterized with negative software capable of causing various damages to a computer, such as theft of data and information, in addition to damage to devices.
In order to avoid having your computer infected with malware, it is essential to have installed reliable malware-checking software, in addition to taking all appropriate security measures when accessing the internet and never clicking on unknown or suspicious links.
Therefore, when realizing that the computer has been infected by malware, it is necessary to quarantine the computer and immediately disconnect from a network so that it does not infect other computers. The quarantine acts as an action where the infected file is moved to an encrypted folder where the malware cannot be executed and spread by the operating system.
Answer:
Explanation:
The following python code loops through each line within a file called text.txt and counts all the words, then it divides this count by the number of sentences in the text file. Finally, output the average number of words per sentence.
f = open("text.txt", "r")
all_words = 0
sentences = 0
for x in f:
list = x.split(' ')
all_words += len(list)
sentences += 1
average = all_words / sentences
print("There are an average of " + str(average.__round__()) + " words in each sentence.")
