Answer:
Recursion is calling of a function from within that same function
Answer: b)because near-critical paths could become critical paths with small delays in these activities
Explanation: Program evaluation and review technique(PERT) technique is used for management of the project .The organizing, maintenance,coordination of any task is done by this chart. The non-critical activities need to be observed carefully because they may create near-critical methods which can lead to complexity.
Other options are incorrect because not all activities are equally rather monitoring is done to avoid errors and slack can occur at any path . Small delays can be caused but not complete project can get delayed and there can be risk of complexity rather than being uncompleted.Thus, the correct option is option(b).
Answer:
IP address
Explanation:
In computer networks, every computer has assigned with a unique address that is called logical address or IP address.
This address is assigned by ICANN and used to access that particular computer by other computers on the network.
Answer:
With modeling and simulation, we model the system and then test the system to gather test predictions.
Explanation:
You would have to test the system in order to see if it's working right and everything is all good with the system.
I hope this helped. I am sorry if you get this wrong.
Hiding/masking personal identifiers from a data set, so that the data set can never identify an individual, even if it is correlated with other data sets is known as anonymization.
<h3>What is anonymization?</h3>
The term anonymization is known as data masking and it is the standard solution in the case of data pseudonymisation. It is generally recognised by using masking and data is de- sensitised also that privacy could be maintained and private information remains safe for the support.
Data is generally identified by using masking and data is de- sensitised also that privacy could be maintained and private information remains safe for the support.
Therefore, Hiding/masking personal identifiers from a data set, so that the data set can never identify an individual, even if it is correlated with other data sets is known as anonymization.
Learn more about anonymization here:
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