CSP Unit 4 Digital Media Processing Pre-Assessment

What is data representation and why is it important in computer science?

• Data representation is the way data is presented and encoded for storage and processing. It is important in computer science because it determines how information is stored, manipulated, and communicated within a computer system.

• Data representation is the way data is presented and encoded for storage and processing. It is important in computer science because it determines how information is stored, manipulated, and communicated within a computer system.

• Data representation refers to the physical appearance of data and has no relevance in computer science.

• Data representation is irrelevant in computer science and has no impact on how information is processed.

Explain the difference between analog and digital data representation.

• Analog data is stored in the cloud, while digital data is stored on physical devices.

• Analog data is continuous and can take any value within a range, while digital data is discrete and can only take specific values.

• Analog data is faster to process than digital data.

• Analog data is more secure than digital data.

How is data represented in a computer system using binary code?

• By using 0s and 1s

• By using 2s and 3s

• By using X's and Y's

• By using A's and B's

What is the significance of binary numbers in computer science?

• Binary numbers are the foundation of all digital systems and are used to represent and manipulate data in computer science.

• Binary numbers are only used for basic arithmetic operations, not for complex computations.

• Binary numbers are only used in hardware design, not in software development.

• Binary numbers have no significance in computer science, they are just a historical artifact.

Convert the decimal number 25 into binary.

• 10100

• 10011

• 11100

• 11001

What is data compression and how does it work?

• Data compression is the process of increasing the size of data to improve storage space and transmission time. It works by adding redundant information.

• Data compression is the process of reducing the size of data to save storage space and transmission time. It works by encoding the data using fewer bits or by removing redundant information.

• Data compression is the process of organizing data into different categories to save storage space and transmission time. It works by creating duplicate copies of the data.

• Data compression is the process of encrypting data to make it unreadable and save storage space and transmission time. It works by using complex algorithms to scramble the data.

Discuss the advantages and disadvantages of lossless and lossy data compression techniques.

• Lossless compression results in larger file sizes

• Lossless compression preserves all original data, while lossy compression sacrifices some data to achieve higher compression ratios.

• Lossy compression preserves all original data

• Lossless compression sacrifices some data to achieve higher compression ratios

Explain the concept of pixel in digital images.

• A pixel is the smallest unit of a digital image, representing a single point in the image.

• A pixel is a type of computer virus that infects digital images.

• A pixel is a measurement of brightness in a digital image.

• A pixel is a type of filter used to enhance digital images.

What are the different file formats used for storing digital images?

• MP3, WAV, FLAC, WMA, AAC

• AVI, MP4, MOV, WMV, FLV

• JPEG, PNG, GIF, TIFF, BMP

• DOCX, PDF, TXT, XLSX, PPTX

How does image resolution affect the quality of a digital image?

• Higher resolution results in the same quality, while lower resolution results in higher quality.

• Higher resolution results in lower quality, while lower resolution results in better quality.

• Higher resolution results in better quality, while lower resolution results in lower quality.

• Image resolution has no effect on the quality of a digital image.