Try to answer these Algorithmic Design MCQs and check your understanding of the Algorithmic Design subject.
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A. Abstract Data Type
B. Advanced Data Type
C. Active Data Type
D. Automated Data Type
A. A general description of data
B. An extension of an object-oriented programming language
C. A specification of a data type within some language, independent of an implementation.
D. A particular representation of data
A. A machine that translates a string of characters into a language-specific program
B. An algorithm that checks the correctness of a language
C. A machine whose primary purpose is to determine whether a string is accepted or rejected
D. A memory location where a string is stored
A. Computer hardware component
B. Programming language interpreter
C. Entity that is stored on the runtime stack during program execution
D. Operating system software
A. The physical storage of data on a computer system
B. The process by which data is transmitted from source to destination
C. The specification of a data type within some language, independent of an implementation.
D. The software application used to access data
A. A sequence of numbers
B. A step-by-step procedure to solve a problem
C. A complex mathematical equation
D. A type of data structure
A. The simplicity of the algorithm's code
B. The ability of the algorithm to solve any problem
C. The speed and resource usage of the algorithm
D. The accuracy of the algorithm's output
A. Brute-force method
B. Divide and conquer
C. Greedy algorithm
D. Dynamic programming
A. The number of lines of code in the algorithm
B. The amount of memory used by the algorithm
C. The measure of the algorithm's efficiency with respect to input size
D. The number of iterations in a loop
A. Array
B. Linked list
C. Tree
D. Both array and linked list
A. Brute-force method
B. Divide and conquer
C. Greedy algorithm
D. Backtracking
A. To estimate the algorithm's accuracy
B. To predict the algorithm's output
C. To understand how the algorithm's performance scales with input size
D. To reduce the code size of the algorithm
A. Divide and conquer
B. Greedy algorithm
C. Dynamic programming
D. Dijkstra's algorithm
A. To create visually appealing algorithms
B. To write a formal proof of correctness for the algorithm
C. To outline the steps of the algorithm in plain language
D. To implement the algorithm in a specific programming language
A. Divide and conquer
B. Greedy algorithm
C. Backtracking
D. Dynamic programming