Data representation

What is the effect of a higher sampling frequency on sound representation in binary?

• It reduces the quality of the sound
• It makes the sound representation simpler
• It increases the amount of data and improves sound quality
• It has no effect on sound quality

Which of the following statements about ASCII is true?

• It uses 16 bits for each character
• It is limited to 128 characters
• It can represent all characters in every language
• It is a type of image file format

What is the main limitation of binary representation regarding sound?

• It can only represent high frequencies
• It is limited by sampling frequency and resolution
• It cannot represent sound at all
• It requires more bits than necessary

Which of the following is a limitation of binary representation?

• It requires no processing power
• It can only represent text data
• It is limited by the number of bits used
• It can represent all types of data perfectly

Which of the following statements about binary representation of sound is true?

• It is not used in digital audio
• It can only represent sounds at low frequencies
• It is limited by the number of bits used for sampling
• It can accurately represent all sounds without loss

What is the primary function of Unicode in character encoding?

• To provide a unique code for every character in all languages
• To represent only English characters
• To compress text data
• To convert binary data to text

What is the purpose of sampling in sound representation?

• To convert sound into a visual format
• To compress sound data
• To eliminate background noise
• To capture sound at specific intervals

Which of the following is a characteristic of lossy compression?

• It does not affect image quality
• It is always reversible
• It reduces file size by removing some data
• It retains all original data

What is the difference between lossless and lossy data compression?

• Lossless retains all data, while lossy removes some data
• Lossy retains all data, while lossless removes some data
• Both methods remove some data
• Both methods retain all data

What is a common example of a lossy compression algorithm?

• GIF
• ZIP
• PNG
• JPEG