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FC0-U71 Practice Question: Which coding best practice improves code…

Which coding best practice improves code readability and maintainability?

⚠ Common exam trap

A common misconception is that using global variables simplifies data sharing or that hard-coding values makes code faster. In reality, these practices severely degrade maintainability and are universally discouraged in professional software development.

Answer choices

Why each option matters

Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.

Correct answer & explanation

✓

Using meaningful variable names

Using meaningful variable names (option B) is a core coding best practice because it makes the code self-documenting, allowing other developers (or the original author after time) to quickly understand the purpose of each variable without needing extensive comments. This directly improves both readability and maintainability, as changes can be made with lower risk of misinterpretation. In contrast, practices like using global variables or hard-coding values obscure logic and create dependencies that are difficult to manage.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

  • ✗

    Using global variables for all data

    Why it's wrong here

    Global variables expose state to every function, creating hidden coupling and making data flow hard to trace, which harms maintainability. They are tempting for quick sharing of values across modules, and would suit small scripts or configuration constants, but the question asks for readability-enhancing practice such as local scoping.

  • ✓

    Using meaningful variable names

    Why this is correct

    Descriptive identifiers such as customerTotal or calculateTax let other developers infer a variable's purpose without tracing its assignments, directly improving readability. Because intent stays visible, later modifications are safer and faster, satisfying the maintainability requirement in the stem.

  • ✗

    Hard-coding values whenever possible

    Why it's wrong here

    Hard-coded values scatter magic numbers and strings throughout code, so any change requires editing many sites and risks inconsistency. It tempts for speed in prototypes or fixed constants, but the practice sought is extracting values into named constants or configuration, improving readability and maintainability.

  • ✗

    Writing long, single functions

    Why it's wrong here

    Long single functions bundle unrelated logic, forcing readers to trace many branches and complicating testing and change. They tempt because they avoid parameter passing and keep everything visible in one place, which can suit short throwaway scripts, but the practice sought is decomposing code into small, single-purpose functions.

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