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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) | |