Which of the following represents data compression techniques?

Data compression techniques are fundamentally categorized into two primary types: lossless and lossy.

Lossless compression methods allow original data to be perfectly reconstructed from the compressed data. This is crucial for applications where data integrity is essential, such as in text files, executable files, and certain image formats like PNG. The key advantage is that no data is lost during the compression, making it suitable for scenarios that require 100% fidelity to the original data.

On the other hand, lossy compression techniques discard some of the data to achieve higher compression ratios. This is commonly used in audio, video, and images where a perfect reproduction isn't necessary, and a certain loss of quality is acceptable. Formats like JPEG and MP3 utilize lossy compression to reduce file sizes significantly.

The other options do not accurately represent data compression techniques. Analog and digital relate more to signal types, whereas static and dynamic refer to data representation and configuration or resource allocation in systems. Similarly, full and partial are not standard classifications for data compression methodologies. Understanding this distinction is crucial for determining the appropriate compression method for various applications.