Compiler vs interpreter in Compiler Design - Practice Questions

Challenge - 5 Problems

🧠 Conceptual

intermediate

Difference in Execution Time

Which statement best describes the difference in execution time between a compiler and an interpreter?

A A compiler translates the entire program before execution, so the program runs faster after compilation.

B An interpreter translates the entire program before execution, so the program runs faster after interpretation.

C A compiler executes code line-by-line, causing slower execution compared to an interpreter.

D An interpreter converts the whole program into machine code at once, making execution faster than a compiler.

💡 Hint

Think about when the translation happens and how it affects running speed.

A compiler translates the whole program into machine code before running it, so the program runs faster during execution. An interpreter translates and runs code line-by-line, which is slower.

📋 Factual

intermediate

Error Detection Timing

When are errors typically detected in a compiled language compared to an interpreted language?

A Compiled languages detect errors during compilation; interpreted languages detect errors during execution.

B Compiled languages detect errors during execution; interpreted languages detect errors before execution.

C Both compiled and interpreted languages detect errors only after the program finishes running.

D Compiled languages do not detect errors; interpreted languages detect errors during compilation.

💡 Hint

Consider when the code is checked in each approach.

Compiled languages check for errors during the compilation step before running the program. Interpreted languages check for errors as each line runs, so errors appear during execution.

🚀 Application

advanced

Choosing Between Compiler and Interpreter

You want to develop a program that needs to run very fast and will be used many times without changes. Which approach is better and why?

A Use an interpreter because it translates code line-by-line, which is faster for repeated runs.

B Use a compiler because it translates the whole program once, making repeated runs faster.

C Use an interpreter because it creates machine code that runs faster than compiled code.

D Use a compiler because it runs code line-by-line, allowing faster debugging.

💡 Hint

Think about speed and how often the program will be run without changes.

A compiler translates the entire program into machine code once, so the program runs very fast on repeated executions. Interpreters translate code every time it runs, which is slower.

🔍 Analysis

advanced

Memory Usage Differences

Which statement correctly compares memory usage between compiled and interpreted programs during execution?

A Compiled programs use more memory because they keep the source code in memory while running.

B Interpreted programs use less memory because they do not need to store machine code.

C Compiled programs generally use less memory during execution because they run directly as machine code.

D Interpreted programs use less memory because they translate code before execution.

💡 Hint

Consider what is stored in memory while the program runs.

Compiled programs run as machine code directly, so they usually use less memory. Interpreted programs need extra memory for the interpreter and source code during execution.

❓ Reasoning

expert

Hybrid Approach Reasoning

Some languages use both compilation and interpretation (like compiling to bytecode then interpreting). What is the main advantage of this hybrid approach?

A It requires recompiling the program every time it runs, increasing execution time.

B It makes programs run slower but easier to debug than pure compilation.

C It removes the need for any translation, running source code directly on hardware.

D It balances speed and flexibility by compiling once and interpreting efficiently on many platforms.

💡 Hint

Think about how compiling once and interpreting later affects speed and compatibility.

The hybrid approach compiles source code into an intermediate form (bytecode) once, then interprets that bytecode on different platforms. This improves speed compared to pure interpretation and allows flexibility across systems.