Hiding the complexity with something simpler

When visiting a museum Sue takes a photo of a painting with a smartphone which stores the photo as an image file. Which of the following best describes the differences between the painting itself and the photo of the painting stored on the smartphone?

The photo is a digital representation of the analog painting

Who owns the photo taken by Lisa and posted online by Allen with a Creative Commons license?

Lisa owns the photo because she was the original creator and did not license the work.

Ryan is designing an app that needs to quickly send low quality photos between users. Most smartphones take much higher quality photos than Ryan needs for his app. Which answer best describes the type of compression Ryan should choose and why?

Lossy compression since it typically results in smaller data sizes.

Which of the following is true of lossy and lossless compression algorithms? 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.

Lossy compression algorithms are typically better than lossless compression algorithms at reducing the number of bits needed to represent a piece of data.

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.

With a fixed number of bits some numbers are too large to represent in a computer which will lead to overflow errors.

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.

A computer represents data as bits which is either a 0 or a 1.

AP CSP Unit 1 Review (code.org) Flashcards

Student preview

19 questions

Show all answers

1.

FLASHCARD QUESTION

Front

A Binary number has a base of _____?

Back

2

2.

FLASHCARD QUESTION

Front

Convert from Binary to Decimal: 000101

Back

5

3.

FLASHCARD QUESTION

Front

Convert from Decimal to Binary: 13

Back

1101

4.

FLASHCARD QUESTION

Front

What is the smallest unit of information in a computer? Options: Nano, Hertz, Bit, Byte

Back

Bit

5.

FLASHCARD QUESTION

Front

What is the Binary error that occurs when a number is too large?

Back

Overflow Error

6.

FLASHCARD QUESTION

Front

What is the Binary error that occurs when a number is too Precise?

Back

Round-Off Error

7.

FLASHCARD QUESTION

Front

Using the Image, what character is represented by the number 68?

Back

D

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