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Understanding Lossless Compression

Authored by Matendevhu Oddness

Other

12th Grade

Used 2+ times

Understanding Lossless Compression
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10 questions

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1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is lossless compression?

Lossless compression results in some loss of information.

Lossless compression increases data size while preserving quality.

Lossless compression is a method of reducing data size by removing unnecessary data.

Lossless compression is a method of reducing data size without any loss of information.

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Name one common lossless compression algorithm.

Huffman

Run-Length Encoding

LZW

DEFLATE

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How does lossless compression differ from lossy compression?

Lossless compression reduces file size without any data loss, while lossy compression retains all data.

Lossless compression retains all original data, while lossy compression sacrifices some data for reduced file size.

Lossless compression is used exclusively for audio files, while lossy compression is for images.

Lossless compression is faster than lossy compression in processing files.

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the main advantage of using lossless compression?

It allows for easier editing of the original data.

The main advantage of using lossless compression is that it preserves the original data without any loss.

It reduces the file size significantly at the cost of some data loss.

It is faster than lossy compression methods.

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Can you give an example of a file type that typically uses lossless compression?

JPEG

MP3

PNG

GIF

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the role of Huffman coding in lossless compression?

Huffman coding is used for lossy compression of audio files.

Huffman coding reduces the size of data by using variable-length codes for characters based on their frequency, enabling lossless compression.

Huffman coding only works with binary data and cannot compress text.

Huffman coding increases data size by using fixed-length codes for all characters.

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Explain the concept of run-length encoding.

Run-length encoding is a compression technique that replaces sequences of the same data value with a single value and a count.

Run-length encoding compresses data by removing all duplicates.

Run-length encoding is a method for encrypting data.

Run-length encoding is a technique for sorting data values.

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