What limited resource is modeled in the printer project?
- CPU temperature
- Available printers
- Python packages
- Git branches
Answer: 2 Type: single Time: 35 Explanation: The project models many files sharing only three printers.
Why is queue.Queue useful for the printers?
- It edits PDF files automatically
- It replaces Python functions
- It guarantees jobs take the same time
- It stores available printer names and gives one to each job
Answer: 4 Type: single Time: 45 Explanation: The queue holds printer names, so each job can claim one available printer.
What should happen after a print job finishes?
- The printer should be returned to the queue
- The printer should be deleted
- The job should run forever
- All waiting jobs should be cancelled
Answer: 1 Type: single Time: 40 Explanation: Returning the printer makes it available for another waiting job.
Why is a finally block useful in print_file(...)?
- It runs only if no errors happen
- It creates new printers
- It helps ensure the printer is returned even if something goes wrong
- It sorts the print jobs
Answer: 3
Type: single
Time: 45
Explanation: finally is used for cleanup actions that should happen after success or failure.
If there are 10 print jobs and 3 printers, how many jobs should be actively printing at the same time?
- At most 1
- At most 3
- Exactly 10
- Unlimited
Answer: 2 Type: single Time: 35 Explanation: There are only three printers, so at most three jobs can print simultaneously.
What is the purpose of message_lock in the project?
- To download files
- To create random filenames
- To remove print jobs
- To keep printed status messages readable
Answer: 4 Type: single Time: 40 Explanation: The lock avoids multiple threads mixing their status output.
What could happen if a printer is never returned to the queue?
- More printers appear
- The queue becomes faster
- Future jobs may wait forever or the system may slow down
- Python automatically fixes it
Answer: 3 Type: single Time: 45 Explanation: Losing a resource from the pool can block later jobs.
Why does the output order vary between runs?
- Parallel jobs finish at different times
- Python cannot print strings
- The queue deletes old jobs
- The list is invalid
Answer: 1 Type: single Time: 40 Explanation: In parallel execution, scheduling and random print durations affect finish order.
Why might a real printer system use priorities?
- Priorities prevent all errors automatically
- Priorities make printers unlimited
- Priorities remove the need for queues
- Some jobs may be more urgent than others
Answer: 4 Type: single Time: 40 Explanation: Real systems often need urgent jobs to move ahead of less urgent ones.
Which design best matches the project?
- One worker writes one local variable
- Many workers share a limited pool of named resources
- No task ever waits
- Every job gets its own new printer
Answer: 2 Type: single Time: 45 Explanation: The printer project is a resource-pool simulation with named resources.