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				This section includes 6 Mcqs, each offering curated multiple-choice questions to sharpen your Technical MCQs knowledge and support exam preparation. Choose a topic below to get started.
| 1. | The Omega notation is the formal way to express the __________ of an algorithms running time. | 
| A. | upper bound | 
| B. | medium bound | 
| C. | lower bound | 
| D. | both the lower bound and the upper bound | 
| E. | |
| Answer» D. both the lower bound and the upper bound | |
| 2. | Which is the formal way to express the upper bound of an algorithm's running time. | 
| A. | Big Oh Notation | 
| B. | Omega Notation | 
| C. | Theta Notation | 
| D. | None of the above | 
| Answer» B. Omega Notation | |
| 3. | The space required by an algorithm is equal to the sum of the following _______ components. | 
| A. | 1 | 
| B. | 2 | 
| C. | 3 | 
| D. | 4 | 
| Answer» C. 3 | |
| 4. | __________ of an algorithm represents the amount of memory space required by the algorithm in its life cycle. | 
| A. | Space complexity | 
| B. | Time Complexity | 
| C. | Quadratic Complexity | 
| D. | Exponential Complexity | 
| Answer» B. Time Complexity | |
| 5. | An algorithm should have _________ well-defined outputs | 
| A. | 0 | 
| B. | 1 | 
| C. | 0 or more | 
| D. | 1 or more | 
| Answer» E. | |
| 6. | In Average case, if operation takes ƒ(n) time in execution, then m operations will take? | 
| A. | ƒ(n) | 
| B. | f(m) | 
| C. | mf(n) | 
| D. | nf(m) | 
| Answer» D. nf(m) | |