10 Questions
Which data structure is used for storing elements where each is a separate object?
Linked list
Which data structure follows the Last-In, First-Out (LIFO) principle?
Stack
Which data structure follows the First-In, First-Out (FIFO) principle?
Queue
Which data structure represents a hierarchical nature of a structure in a graphical form?
Tree
Which data structure is a complete binary tree where the value of each parent node is either higher or lower than the value of its child nodes?
Heap
True or false: The counting semaphore allows more than three operations to be performed on it.
False
True or false: The binary semaphore allows values other than zero and one.
False
True or false: The mutex lock can be unlocked by any process.
False
True or false: The condition variable is used to block a process until a specific condition is false.
False
True or false: The monitor encapsulates only variables within an abstract data type.
False
Study Notes
Concurrency Mechanisms
- A Counting Semaphore is a concurrency mechanism that involves an integer value used for signaling processes.
- Three atomic operations can be performed on a semaphore: initialize, decrement, and increment.
- The decrement operation may block a process, while the increment operation may unblock a process.
- Counting Semaphore is also known as a general semaphore.
Binary Semaphore
- A Binary Semaphore is a type of semaphore that only takes two values: 0 and 1.
Mutual Exclusion (Mutex) Lock
- A Mutex Lock is similar to a binary semaphore, but with a key difference:
- The process that locks the mutex must be the one to unlock it.
- Only the holder of the lock can operate on it.
Condition Variable
- A Condition Variable is a data type that blocks a process or thread until a specific condition is true.
Monitor
- A Monitor is a programming construct that encapsulates:
- Variables
- Access procedures
- Initialization code
- Abstract data type.
Test your knowledge of abstract data types with this quiz! Explore topics such as linked lists, stacks, queues, and trees. Challenge yourself and strengthen your understanding of these fundamental data structures.
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