Digital Data Processing Concepts

The video tutorial explains how computers process data in binary form, highlighting the challenges of using binary for everyday tasks. It introduces character representation systems like ASCII and Unicode, which help computers store text data. The tutorial also covers how analog data, such as images and sound, is converted into digital form for computer processing. It explains the process of sampling in sound digitization and discusses data compression techniques that reduce file sizes for easier storage and transmission.

Why do computers use binary to process and store data?

• Because binary is the simplest form of data for computers to process

• Because binary is the most complex form of data

• Because binary is the only form of data that can be transmitted

• Because binary can store more data than any other form

What is a major limitation of the ASCII system?

• It is not compatible with digital devices

• It does not support a large enough character set for all languages

• It cannot represent numbers

• It uses too many bits for each character

How many bits does Unicode use to represent characters?

• 64 bits

• 32 bits

• 16 bits

• 8 bits

What is a pixel in the context of digital images?

• A line of text

• A large block of color

• A sound wave

• A tiny dot on the screen

How is a black pixel represented in binary?

• 11

• 1

• 0

• 10

What is the process of converting analog sound to digital form called?

• Encoding

• Sampling

• Compressing

• Decoding

What does a higher sample rate in sound processing result in?

• Less data storage

• Lower sound quality

• Higher sound quality

• More noise

What is the sample rate of a CD-quality recording?

• 96,000 Hertz

• 8,000 Hertz

• 22,050 Hertz

• 44,100 Hertz

What is the main purpose of data compression?

• To increase file size

• To make files more complex

• To reduce file size and make transmission easier

• To convert files to binary

How do compression algorithms typically reduce file size?

• By increasing the number of bits

• By converting data to analog

• By adding more data

• By removing repeating data