Computer Science Principles Unit 1
Flashcard
•
Computers
•
12th Grade
•
Practice Problem
•
Hard
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16 questions
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1.
FLASHCARD QUESTION
Front
Which of the following best describes how computing devices represent information? Options: A computer will either represent information as bits or bytes but not both, A computer represents data as a byte which is either a 0 or a 1, A computer represents data as bits which is either a 0 or a 1, A computer represents information as bits which contain 8 bytes
Back
A computer represents data as bits which is either a 0 or a 1
2.
FLASHCARD QUESTION
Front
Which of the following best describes how computing devices represent information? A computer will either represent information as bits or bytes but not both, A computer represents data as a byte which is either a 0 or a 1, A computer represents data as bits which is either a 0 or a 1, A computer represents information as bits which contain 8 bytes
Back
A computer represents data as bits which is either a 0 or a 1
3.
FLASHCARD QUESTION
Front
Which of the following is NOT true of how computers represent complex information? Computing devices use patterns of bits to represent complex information, Depending on context the same sequence of bits may represent different types of information, Common abstractions that are represented by computing devices include numbers, characters, and color.
Back
Abstraction helps represent complex information by surfacing complexity that might otherwise be hidden.
4.
FLASHCARD QUESTION
Front
What describes the differences between a painting and a photo of the painting taken with a smartphone?
Back
The photo is a digital representation of the analog painting.
5.
FLASHCARD QUESTION
Front
Your computer uses 4 bits to represent decimal numbers (0, 1, 2, 3 and so on) in binary. What is the SMALLEST number for which an overflow error occur?
Back
16
6.
FLASHCARD QUESTION
Front
Which of the following is true of how computers represent numbers? Options: With a fixed number of bits some numbers are too large to represent in a computer which will lead to overflow errors., Using a fixed but large number of bits can eliminate the possibility of round off error when representing numbers in binary, Using a fixed but large number of bits, for example 128, eliminates the possibility of overflow errors., With a large but fixed number of bits it is possible to eliminate either round-off errors or overflow errors, but not both.
Back
With a fixed number of bits some numbers are too large to represent in a computer which will lead to overflow errors.
7.
FLASHCARD QUESTION
Front
Which of the following is true of lossy and lossless compression algorithms? Options: Lossy compression algorithms are used when perfect reconstruction of the original data is important., Lossy compression algorithms are typically better than lossless compression algorithms at reducing the number of bits needed to represent a piece of data., Lossless compression algorithms are only used to compress text data., Lossless compression algorithms only allow for an approximate reconstruction of the original data.
Back
Lossy compression algorithms are typically better than lossless compression algorithms at reducing the number of bits needed to represent a piece of data.
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