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Nutka1998 [239]
3 years ago
6

Mauricio, a project manager at a reputed firm, has been assigned to handle a new project that the firm has received. This projec

t involves a lot of Mauricio has decided to use a project management tool for this project. He wants the tool to be free and cloud-based so that there is no need for software to be installed. Help Mauricio in identifying the project management tool that best fits the purpose. Select one:
a. Apptivo
b. smartsheet
c. Microsoft Project
d. Gantter
Computers and Technology
2 answers:
Oliga [24]3 years ago
6 0

Answer: The project management tool that best fits the purpose is GANTTER.

Explanation: GANTTER is a free cloud-based tool used in project management. Although pricing starts at $5.00 per month, per user. There is a free version of Gantter. Gantter does offer a free trial.

dimulka [17.4K]3 years ago
3 0

Answer:

d. Gantter

Explanation:

Smarthsheet is cloud based management tool but requires software. Microsoft project project management software product and not a cloud based one. Apptivo also requires software.

Gantter is a cloud based project scheduling service that is fully integrated with Google Drive". It is a powerful cloud based Project Management Tool that requires no software to be installed and it completely integrates with Google Drive.

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It is generally safe to download mobile apps from<br>unknown sources.​
RUDIKE [14]

Answer:

no

Explanation:

because it could be a scam

6 0
3 years ago
Read 2 more answers
We see color because an object that has light striking it
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8 0
4 years ago
Because log-on procedures may be cumbersome and tedious, users often store log-on sequences in their personal computers and invo
diamong [38]

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.

7 0
3 years ago
Write a function called simulate_several_key_strikes. It should take one argument: an integer specifying the number of key strik
Furkat [3]

Answer:

The solution code is written in Python 3

  1. import random
  2. import string
  3. def simulate_several_key_strikes(l):
  4.    char_set = string.ascii_lowercase
  5.    return ''.join(random.choice(char_set) for i in range(l))
  6. 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

7 0
3 years ago
What is the result of successfully applying a Machine Learning (ML)<br> algorithm to analyze data?
DIA [1.3K]

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..

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