Introduction to Computing MCQs with Answers
Practice important Introduction to Computing MCQs with answers and explanations.
Multiple Choice Questions
Q481: How many colors can a GIF image palette support?
- A: 128
- B: 256
- C: 512
- D: 1024
View Answer
B
Q482: What is the primary compression method used by GIF?
- A: Run-length encoding
- B: Huffman coding
- C: Arithmetic coding
- D: JPEG compression
View Answer
A
Q483: In GIF compression, what does the palette contain?
- A: 256 color encodings
- B: 256 pixel patterns
- C: 256 text entries
- D: 256 character encodings
View Answer
A
Q484: What is a limitation of GIF compression?
- A: It supports only 256 colors
- B: It does not support transparency
- C: It is a lossy compression method
- D: It is suitable for high-precision photography
View Answer
A
Q485: What is a notable feature of GIF images related to transparency?
- A: One color can be assigned as transparent
- B: All colors are equally transparent
- C: Transparency is not supported
- D: Only the background can be transparent
View Answer
A
Q486: What is the main difference between GIF and JPEG compression methods?
- A: JPEG supports more colors than GIF
- B: GIF supports lossy compression, JPEG does not
- C: JPEG uses run-length encoding, GIF does not
- D: GIF is better for color photographs than JPEG
View Answer
A
Q487: What compression mode does JPEG use for high precision?
- A: Lossless mode
- B: Lossy mode
- C: Run-length encoding
- D: Adaptive encoding
View Answer
A
Q488: What is the standard JPEG compression option known for?
- A: Lossy sequential mode
- B: Lossless sequential mode
- C: Run-length encoding
- D: Huffman coding
View Answer
A
Q489: How does JPEG's baseline standard reduce image size?
- A: By averaging chrominance values over two-by-two-pixel squares
- B: By increasing the number of colors used
- C: By applying fixed-length encoding
- D: By using a fixed-size dictionary
View Answer
A
Q490: What is the purpose of the discrete cosine transform in JPEG compression?
- A: To convert pixel values into a block of related entries
- B: To encode image data with Huffman codes
- C: To replace subtle changes with zeros
- D: To apply run-length encoding
View Answer
A