WGU C949 ALGORITHMS CERTIFICATION
SCRIPT 2026 QUESTIONS WITH ANSWERS
GRADED A+
⩥ Explain the effectiveness of an algorithm. Answer: An algorithm's
steps must be straightforward and feasible to execute in finite time.
⩥ What does generality mean in algorithms. Answer: An algorithm
should solve a group of issues rather than being limited to a single case.
⩥ What is modularity in algorithms? Answer: Refers to breaking down a
problem into smaller, manageable modules or steps.
⩥ Define correctness in the context of algorithms. Answer: The
algorithm produces the desired output for given inputs.
⩥ What does maintainability refer to in algorithms. Answer: The
algorithm is structured so that redefining it requires minimal changes.
⩥ What is functionality in algorithms? Answer: Considers various
logical steps to solve a real-world problem.
,⩥ Explain robustness in algorithms.. Answer: Refers to an algorithm's
ability to clearly define the problem it addresses.
⩥ What does user-friendly mean in the context of algorithms?. Answer:
An algorithm is easy to understand and explain.
⩥ Why is simplicity important in algorithms?. Answer: It makes an
algorithm easier to understand and implement.
⩥ What is extensibility in algorithms?. Answer: The algorithm can be
adapted or used by other designers or programmers.
⩥ What is a brute force algorithm?. Answer: A straightforward approach
that tries all possible solutions, suitable for small problems.
⩥ Define a recursive algorithm.. Answer: A method that breaks a
problem into smaller subproblems and solves them recursively.
⩥ What is an encryption algorithm?. Answer: An algorithm that
transforms data into a secure form to ensure confidentiality.
⩥ What is a backtracking algorithm?. Answer: A trial-and-error
technique used to explore potential solutions by undoing choices.
,⩥ What is the purpose of a searching algorithm?. Answer: To find a
specific target within a dataset efficiently.
⩥ What does a sorting algorithm do?. Answer: It arranges elements in a
specific order for better organization and retrieval.
⩥ What is a hashing algorithm?. Answer: It converts data into a fixed-
size hash value for rapid access in databases.
⩥ Explain the divide and conquer algorithm.. Answer: It breaks a
complex problem into smaller subproblems, solves them independently,
and combines the solutions.
⩥ What is a greedy algorithm?. Answer: An algorithm that makes locally
optimal choices at each step to find a global optimum.
⩥ Define dynamic programming algorithm.. Answer: It stores and reuses
intermediate results to enhance efficiency in solving problems.
⩥ What is a randomized algorithm?. Answer: An algorithm that uses
randomness in its steps to achieve a solution.
⩥ What is a base case in recursive algorithms?. Answer: The condition
under which the recursion stops, representing the simplest instance of
the problem.
, ⩥ What is a recursive case in recursive algorithms?. Answer: The part of
the algorithm that breaks the problem down into smaller instances and
calls itself.
⩥ What is the role of the stack in recursive algorithms?. Answer: Each
recursive call is placed on the system call stack, unwinding when the
base case is reached.
⩥ What is the time complexity of linear search?. Answer: O(n), where n
is the number of elements in the array.
⩥ When should linear search be used?. Answer: When the array is small,
unsorted, or when simplicity is prioritized over performance.
⩥ What is the concept of linear search?. Answer: Linear search involves
checking each element in a list or array sequentially until the target
element is found or the end of the collection is reached.
⩥ When is linear search best used?. Answer: When the list is small or
unsorted.
⩥ What is the best case scenario for linear search?. Answer: O(1) — The
target element is the first element.
SCRIPT 2026 QUESTIONS WITH ANSWERS
GRADED A+
⩥ Explain the effectiveness of an algorithm. Answer: An algorithm's
steps must be straightforward and feasible to execute in finite time.
⩥ What does generality mean in algorithms. Answer: An algorithm
should solve a group of issues rather than being limited to a single case.
⩥ What is modularity in algorithms? Answer: Refers to breaking down a
problem into smaller, manageable modules or steps.
⩥ Define correctness in the context of algorithms. Answer: The
algorithm produces the desired output for given inputs.
⩥ What does maintainability refer to in algorithms. Answer: The
algorithm is structured so that redefining it requires minimal changes.
⩥ What is functionality in algorithms? Answer: Considers various
logical steps to solve a real-world problem.
,⩥ Explain robustness in algorithms.. Answer: Refers to an algorithm's
ability to clearly define the problem it addresses.
⩥ What does user-friendly mean in the context of algorithms?. Answer:
An algorithm is easy to understand and explain.
⩥ Why is simplicity important in algorithms?. Answer: It makes an
algorithm easier to understand and implement.
⩥ What is extensibility in algorithms?. Answer: The algorithm can be
adapted or used by other designers or programmers.
⩥ What is a brute force algorithm?. Answer: A straightforward approach
that tries all possible solutions, suitable for small problems.
⩥ Define a recursive algorithm.. Answer: A method that breaks a
problem into smaller subproblems and solves them recursively.
⩥ What is an encryption algorithm?. Answer: An algorithm that
transforms data into a secure form to ensure confidentiality.
⩥ What is a backtracking algorithm?. Answer: A trial-and-error
technique used to explore potential solutions by undoing choices.
,⩥ What is the purpose of a searching algorithm?. Answer: To find a
specific target within a dataset efficiently.
⩥ What does a sorting algorithm do?. Answer: It arranges elements in a
specific order for better organization and retrieval.
⩥ What is a hashing algorithm?. Answer: It converts data into a fixed-
size hash value for rapid access in databases.
⩥ Explain the divide and conquer algorithm.. Answer: It breaks a
complex problem into smaller subproblems, solves them independently,
and combines the solutions.
⩥ What is a greedy algorithm?. Answer: An algorithm that makes locally
optimal choices at each step to find a global optimum.
⩥ Define dynamic programming algorithm.. Answer: It stores and reuses
intermediate results to enhance efficiency in solving problems.
⩥ What is a randomized algorithm?. Answer: An algorithm that uses
randomness in its steps to achieve a solution.
⩥ What is a base case in recursive algorithms?. Answer: The condition
under which the recursion stops, representing the simplest instance of
the problem.
, ⩥ What is a recursive case in recursive algorithms?. Answer: The part of
the algorithm that breaks the problem down into smaller instances and
calls itself.
⩥ What is the role of the stack in recursive algorithms?. Answer: Each
recursive call is placed on the system call stack, unwinding when the
base case is reached.
⩥ What is the time complexity of linear search?. Answer: O(n), where n
is the number of elements in the array.
⩥ When should linear search be used?. Answer: When the array is small,
unsorted, or when simplicity is prioritized over performance.
⩥ What is the concept of linear search?. Answer: Linear search involves
checking each element in a list or array sequentially until the target
element is found or the end of the collection is reached.
⩥ When is linear search best used?. Answer: When the list is small or
unsorted.
⩥ What is the best case scenario for linear search?. Answer: O(1) — The
target element is the first element.
