Introduction to Computing MCQs with Answers
Practice important Introduction to Computing MCQs with answers and explanations.
Multiple Choice Questions
Q441: In the floating-point example, how is the value 11/8 encoded?
- A: 0 1 0 1 1 0 0 1
- B: 1 0 1 1 1 0 0 1
- C: 0 0 1 1 0 0 1 1
- D: 1 0 1 0 0 1 1 1
View Answer
A
Q442: What happens if a value is not in normalized form?
- A: It may have multiple representations
- B: It will be incorrectly decoded
- C: It will always be zero
- D: It will have an incorrect exponent
View Answer
A
Q443: What is the binary representation of 3/8 in floating-point notation?
- A: 111100
- B: 1101100
- C: 10001100
- D: 1010101
View Answer
A
Q444: How is the value zero represented in floating-point notation?
- A: A bit pattern of all 1s
- B: A bit pattern with a sign bit of 1
- C: A bit pattern with all 0s
- D: A bit pattern with alternating 0s and 1s
View Answer
C
Q445: What value does the floating-point pattern 11101011 represent?
- A: =-23/4
- B: 23/4
- C: =-11/8
- D: 45604
View Answer
A
Q446: When converting a decimal fraction to floating-point notation, what is the first step?
- A: Convert to binary notation
- B: Set the sign bit
- C: Determine the exponent
- D: Fill the mantissa
View Answer
A
Q447: What is a truncation error in floating-point notation?
- A: Error in storing large values
- B: Error when the mantissa field is too short
- C: Error in the exponent field
- D: Error in the sign bit
View Answer
B
Q448: In a one-byte floating-point system, how is the value 25/8 inaccurately represented?
- A: 10.101
- B: 10.01
- C: 11.01
- D: 11.1
View Answer
B
Q449: What is the main reason for truncation errors in floating-point systems?
- A: Long exponent fields
- B: Short mantissa fields
- C: Inaccurate sign bits
- D: Incorrect radix points
View Answer
B
Q450: What is one primitive method to reduce truncation errors?
- A: Use a longer exponent field
- B: Use a longer mantissa field
- C: Use a smaller byte size
- D: Ignore the errors
View Answer
B