Computing Fundamentals – Translating Binary to Human-Readable Text In computer systems, changing the machine language of 1's and 0's into characters that a person can understand is called:

Introduction / Context:
Computers store and process information in binary, using sequences of 1's and 0's. Humans, however, read letters, digits, and symbols. The act of converting machine-level bit patterns into meaningful, human-readable characters is a foundational concept in computing and data communications.

Given Data / Assumptions:

• The input is binary data (1's and 0's).
• Target output is human-readable characters such as A–Z, a–z, 0–9, and punctuation.
• Standard character encodings (for example, ASCII or Unicode/UTF-8) are in use.

Concept / Approach:
When a system interprets bit patterns according to a character encoding table, it decodes the binary into glyphs or code points. Encoding is the forward operation (characters → bytes), while decoding is the reverse (bytes → characters). Execution runs instructions; highlighting changes screen selection; clip art refers to images, not binary-to-text conversion.

Step-by-Step Solution:

Verification / Alternative check:
Text editors and browsers always decode incoming byte streams using an assumed or declared charset (for example, Content-Type headers) to render readable text. If the wrong charset is used, mojibake (garbled characters) appears, confirming the necessity of decoding.

Why Other Options Are Wrong:

• Highlight: A user-interface selection action; no translation occurs.
• Clip art: Refers to stock images, not character conversion.
• Execute: Runs instructions; it does not translate binary to human-readable text.

Common Pitfalls:
Confusing decryption (security) with decoding (representation). Decryption removes secrecy; decoding interprets format. Also, mixing up encoding (writing bytes) versus decoding (reading bytes) is common.

Final Answer:
Decode