Introduction to Computing MCQs with Answers
Practice important Introduction to Computing MCQs with answers and explanations.
Multiple Choice Questions
Q1561: How does the binary search algorithm reduce the number of records to be searched?
- A: By comparing the target value to the middle entry and halving the search space
- B: By searching every entry sequentially
- C: By sorting the list first
- D: By skipping every other entry
View Answer
A
Q1562: What is the maximum number of entries that need to be checked in a binary search with 30,000 records?
- A: 15
- B: 30000
- C: 7500
- D: 1000
View Answer
A
Q1563: How many entries would the binary search algorithm at most check to find a record in a list of 30,000?
- A: 15
- B: 30000
- C: 7500
- D: 1000
View Answer
A
Q1564: What is the primary focus of algorithm analysis?
- A: Evaluating time and space resources required by algorithms
- B: Designing user interfaces
- C: Hardware compatibility
- D: Network efficiency
View Answer
A
Q1565: How does the binary search algorithm perform in the worst-case scenario?
- A: It interrogates at most log2(n) entries
- B: It checks every entry
- C: It skips half of the list each time
- D: It requires a linear number of checks
View Answer
A
Q1566: What is the time complexity of the sequential search algorithm in terms of the number of entries nnn?
- A: O(n)
- B: O(log2(n))
- C: O(n^2)
- D: O(1)
View Answer
A
Q1567: What is the time complexity of the binary search algorithm in terms of the number of entries nnn?
- A: O(log2(n))
- B: O(n)
- C: O(n^2)
- D: O(1)
View Answer
A
Q1568: Why does the binary search algorithm offer a significant improvement over the sequential search?
- A: It reduces the search space by half with each step
- B: It checks all entries sequentially
- C: It performs fewer comparisons on average
- D: It sorts the list first
View Answer
A
Q1569: How many records would the binary search algorithm need to examine if it is searching a list with 1,000,000 entries?
- A: Approximately 20
- B: 1000000
- C: 10000
- D: 1000
View Answer
A
Q1570: In the context of algorithm efficiency, what does log2(n) represent?
- A: The base two logarithm of the number of entries
- B: The total number of entries
- C: The average number of comparisons
- D: The time required for a search
View Answer
A