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ALGORITHMS EXAMINATION QUESTIONS AND CORRECT ANSWER WITH EXPLANATION GRADED A+ STUDY GUIDE

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ALGORITHMS EXAMINATION QUESTIONS AND CORRECT ANSWER WITH EXPLANATION GRADED A+ STUDY GUIDE

Institution
ALGORITHMS
Course
ALGORITHMS

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ALGORITHMS EXAMINATION QUESTIONS AND CORRECT
ANSWER WITH EXPLANATION GRADED A+ STUDY GUIDE
SOUTHERN NEW HAMPSHIRE UNIVERSITY
1. An algorithm is:
A. Step-by-step procedure to solve a problem
B. Hardware device
C. Programming language
D. Operating system
Answer: A
Rationale: Algorithms are logical solution steps.

2. The main goal of an algorithm is to:
A. Solve a problem efficiently
B. Increase file size
C. Design hardware
D. Store images
Answer: A
Rationale: It defines problem-solving steps.

3. An algorithm must be:
A. Finite
B. Infinite
C. Random
D. Ambiguous
Answer: A
Rationale: It must terminate.

4. A good algorithm should be:
A. Efficient
B. Confusing
C. Infinite
D. Hardware-based
Answer: A
Rationale: Efficiency is key.

5. Algorithm correctness means:
A. Produces correct output

, B. Runs fast only
C. Uses memory only
D. Has many steps
Answer: A
Rationale: Produces expected result.

6. Time complexity measures:
A. Execution time growth
B. File size
C. Screen size
D. Color usage
Answer: A
Rationale: Performance analysis.

7. Space complexity measures:
A. Memory usage
B. Speed
C. Internet usage
D. Screen resolution
Answer: A
Rationale: Memory requirement.

8. Big O notation describes:
A. Worst-case complexity
B. File type
C. Screen size
D. Hardware design
Answer: A
Rationale: Asymptotic behavior.

9. O(1) complexity means:
A. Constant time
B. Linear time
C. Exponential time
D. Logarithmic time
Answer: A
Rationale: Independent of input size.

10. O(n) complexity means:
A. Linear time

, B. Constant time
C. Logarithmic time
D. Random time
Answer: A
Rationale: Increases with input size.

11. O(log n) complexity means:
A. Logarithmic time
B. Linear time
C. Constant time
D. Quadratic time
Answer: A
Rationale: Divide and conquer behavior.

12. O(n²) complexity means:
A. Quadratic time
B. Linear time
C. Constant time
D. Logarithmic time
Answer: A
Rationale: Nested loops growth.

13. Best case complexity refers to:
A. Minimum time required
B. Maximum time required
C. Average memory
D. Worst output
Answer: A
Rationale: Optimal scenario.

14. Worst case complexity refers to:
A. Maximum time required
B. Minimum time
C. No execution
D. Random output
Answer: A
Rationale: Worst scenario performance.

15. Average case complexity is:
A. Expected performance

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Institution
ALGORITHMS
Course
ALGORITHMS

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