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Marina86 [1]
3 years ago
13

In a system where Round Robin is used for CPU scheduling, the following is TRUE when a process cannot finish its computation dur

ing its current time quantum? The process will terminate itself. The process will be terminated by the operating system. The process's state will be changed from running to blocked. None of the mentioned.
Computers and Technology
1 answer:
masha68 [24]3 years ago
7 0

Answer:

B. The process will be terminated by the operating system.

Explanation:

When Round Robin is used for CPU scheduling, a time scheduler which is a component of the operating system is used in regulating the operation. A time limit is set for each of the processes to be run.

So, when a process fails to complete running before its time elapses, the time scheduler would log it off and return it to the queue. This queue is in a circular form and gives each of the processes a chance to run its course.

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For each of the following application areas state whether or not the tree data structure appears to be a good fit for use as a s
Cerrena [4.2K]

Answer:

a) Chess game moves:- Tree data structure is not a good fit.

b) Public transportation paths:- Tree data structure is not a good fit.

c) Relationshi[p among computer files and folders:- Tree data structure is a good fit.

d) Genealogical information:- Tree data structure is a good fit.

e) Parts of books:- Tree data structure is a good fit.

f) Programming language history:- Tree data structure is not a good fit.

g) Mathematical expression:- Tree data structure is a good fit.

Explanation:

a) Chess game moves:- Tree data structure is not a good fit. Since in tree data structure moving backward or sharing the node is not that much easy. Presume, In chess, you have to check any box is empty or not. Here, Graph is the best fit.

b) Public transportation paths:- Tree data structure is not a good fit. whenever shortest path, routes, broadcast come always graph is a good option. Because in the tree you don't know how many time you visit that node

c) Relationshi[p among computer files and folders:- Tree data structure is a good fit. Since they have a predefined route. Go to 'c' drive. Open a particular folder and open a particular file.

d) Genealogical information:- Tree data structure is a good fit. Since genealogical information also has a predefined route. Here, the Graph is not suitable.

e) Parts of books:- Tree data structure is a good fit. Since manages the chapters and topics are not that much complex. You can see any book index which is in a very pretty format.

f) Programming language history:- Tree data structure is not a good fit. To store the history of the programming language we need some unconditional jumps that's why the tree is not suitable.

g) Mathematical expression:- Tree data structure is a good fit. The tree is suitable in some cases. We have an expression tree for postfix, prefix.

5 0
3 years ago
Can someone write me a design brief about a stadium​
Delicious77 [7]

Btw..which dtadium do u want cricket or football!?

3 0
3 years ago
Read 2 more answers
Juan is a network administrator and must set up a VPN for his company's network. To allow safe communication, he should
Mekhanik [1.2K]

Answer:

select Control Panel, then Network Protocols, then Internet

4 0
2 years ago
A user deletes a message from a mailbox while on a desktop. What happens to the email message on the user's synchronized devices
gulaghasi [49]

Answer:

Explanation:

Depends on the configuration of the email because there are two protocols POP and IMAP, the most recent protocol is IMAP, we can delete an email and this It moves to a To be Deleted folder, this happens because the email is stored in the server, but with the protocol POP the email is stored in the server and downloaded to the application, if you delete an email, this is deleted in all devices.

8 0
3 years ago
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Define each of the following data mining functionalities: characterization, discrimination, association and correlation analysis
Step2247 [10]

Answer:

In the clarification portion below, the definition according to the received information is summarized.

Explanation:

  • <u>Characterization:</u>

It is indeed a summary of general object characteristics in something like a target class and creates characteristic laws.

  • <u>Discrimination:</u>

Just before predefined data types have been held to a different standard from everyone else, it's indeed bias which always happens.

  • <u>Association:</u>

It's a mechanism that determines the possibility that objects in a set will co-occur.

  • <u>Classification:</u>

It is indeed duction which attributes elements to target groups or classes in a set.

  • <u>Prediction:</u>

It is solely dependent on either the interpretation of other similar values to classify data points.

  • <u>Clustering:</u>

It has been used to position the components of the information through their corresponding classes.

  • <u>Evolution Analysis:</u>

It would be for objects whose behavior varies throughout time to explain or design regularities.

5 0
3 years ago
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