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1

Which of the following best describes how computing devices represent information?

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A. A computer will either represent information as bits or bytes but not both

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

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

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D. A computer represents information as bits which contains 8 bytes.

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

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Which of the following is NOT true of how computers represent complex information?

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A. Computing devices use patterns of bits to represent complex information

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B. Abstraction helps represent complex information by surfacing complexity that might otherwise be hidden

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C. Depending on context the same sequence of bit may represent different types of information

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D. Common abstractions that are represented by computing devices include numbers, characters, and color.

B. Abstraction helps represent complex information by surfacing complexity that might otherwise be hidden

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

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A. Both the painting and the photo are analog

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B. The photo is a digital representation of the analog painting

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C. Sampling can e used to determine whether the analog image is an accurate representation of the painting.

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D. The phone can represent the photo in either digital or analog formats depending on the sampling technique that is used

B. The photo is a digital representation of the analog painting

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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?

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A. 14

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B. 15

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C. 16

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D. 17

C. 16

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I believe this is because you cannot represent the number sixteen with only four binary bits. The highest you can go is 15.

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Which of the following is true of how computers represent numbers?

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A. Using a fixed but large number of bits can eliminate the possibility of round off error when representing numbers in binary

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

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C. Using a fixed but large number of bits, for example 128, eliminates the possibility of overflow errors.

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D. With a large but fixed number of bits it is possible to eliminate either round-off errors or overflow errors, but not both.

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

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Convert the binary (base-2) number 1001 to decimal (base-10)

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A. 9

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B. 10

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C. 16

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D. 17

A. 9

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Refer to a flippy do, 1001 (1) = 2^3 (2*2*2) = 8, 0(null) 0(null) (1) = 2^0 (2*0) = 1

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8+1 = 9

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Convert the decimal (base-10) number 20 to binary (base-2)

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A. 10010

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B. 00101

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C. 11000

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D. 10100

D. 10100

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Refer to a flippy do, 10100 = (2^4 = 16, 0 , 2^2 = 4, 0 ,0) 16+4 = 20, so = 10100

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which of the following binary base-2 numbers is LARGEST?

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A. 11000000

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B. 01111111

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C. 00000001

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D. 10111111

A. 11000000

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A = 128 + 64 + 0 +0 +0 +0 +0 +0 =0 = 192

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B= 0 + 64 +32 + 16 +8 + 4 + 2 + 1 = 127

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C = 0+0+0+0+0+0+0 + 1 = 1

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D. = 128 + 0 +32 + 16 +8 +4 +2 + 1 = 191

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How many total numbers can be represented with an 8-bit binary (base-2) system?

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A. 127

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B. 128

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C. 255

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D. 256

D. 256

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Explanation: Add the total amount of add-able numbers in a 8-bit binary base-2 system.

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2^0=1

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2^1=2

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2^2=4

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2^3=8

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2^4=16

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2^5=32

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2^6=64

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2^7=128

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1+2+4+8+16+32+64+128=255, but 00000000(which is 0) also counts as a number, so the answer is 256.

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

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A. Lossy compression algorithms are used when perfect reconstruction of the original data is important.

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B. 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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C. Lossless compression algorithms are only used to compress text data.

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D. Lossless compression algorithms only allow for an approximate reconstruction of the original data.

B. 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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Jorge is sending a large image file to a friend as part of a shared classroom project. Which of the following is most likely true if Jorge opts to compress the image before sending it?

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A. The image can no longer be represented using bits.

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B. The image will have been converted into an analog form.

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C. The image will require more pixels to display it on the screen.

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D. The image will require fewer bits in order to be represented.

D. The image will require fewer bits in order to be represented.

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When a file is compressed it gives room for a lot of files to be fused into one for easy access and also to ensure that the files aren't too large for use later in the future.

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Which of the following is true of intellectual property?

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A. Information created on a computer is not owned by anyone since only analog information is protected under copyright law.

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B. You do not need to cite work created by someone else if both the original work and your use of it are in digital form.

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C. Creative Commons enables content creators to freely distribute their otherwise copyrighted work.

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D. Creative Common has severely hindered broad and open access to digital information

C. Creative Commons enables content creators to freely distribute their otherwise copyrighted work.

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Lucy is completing a project as part of a science class using materials she found online. Which of the following is MOST LIKELY to lead to legal consequences?

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A. Modifying a piece of open source software.

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