Challenging Code Optimisation Test - 74+ MCQs: Code Optimization Quiz: Test Your Programming Efficiency with Optimization Questions and Answers

1. Discuss the impact of cache locality on code optimization.

Cache locality has no effect on code performance

Optimizing code for cache misses to improve overall efficiency

Ignoring cache considerations as they are irrelevant

Cache locality is only applicable to disk-based storage, not memory

2. How can aggressive function inlining improve code optimization?

Randomly inlining functions for code diversity

Minimizing the use of function inlining for simplicity

Embedding function calls directly into the code for efficiency

Avoiding aggressive function inlining for better code readability

3. Examine the significance of vectorization in optimizing numerical computations.

Transforming code into vector graphics for better visualization

Utilizing vector processors for parallel execution

Introducing random vectors for dynamic computations

Replacing numerical operations with vector symbols

4. How does loop restructuring impact code optimization?

Loop restructuring is irrelevant for code optimization.

Loop restructuring always leads to slower code execution.

Loop restructuring can enhance code optimization by improving loop efficiency.

Loop restructuring only affects code readability, not optimization.

5. How can reducing the number of global variables contribute to code optimization?

Global variables have no impact on code optimization.

Increasing the number of global variables improves code optimization.

Reducing the number of global variables can enhance code optimization by minimizing memory usage.

Global variables are automatically optimized by compilers.

6. Discuss the role of branch pruning in optimizing decision-making code.

Randomly pruning branches for code diversity

Optimizing conditional statements to reduce unnecessary branches

Introducing extra branches for decision complexity

Avoiding branch pruning for better code readability

7. What is the impact of optimizing code for memory locality?

Optimizing code for memory locality is irrelevant for code optimization.

Optimizing code for memory locality always leads to slower code execution.

Optimizing code for memory locality can enhance code optimization by improving data access patterns.

Memory locality is automatically optimized by compilers.

8. Discuss the concept of dead code elimination and its significance in optimization.

Removing code segments that are never executed

Adding redundant code for improved error handling

Duplicating code for increased redundancy

Randomly eliminating code segments for diversity

9. Explain the role of parallelism in optimizing code execution.

Parallelism has no impact on code optimization.

Parallelism always leads to slower code execution.

Parallelism can contribute to code optimization by allowing multiple tasks to be executed simultaneously.

Parallelism only focuses on optimizing network communications.

10. How can loop blocking be used for optimizing cache performance in code?

Randomly blocking loops for diverse code structures

Dividing loops into smaller blocks for better cache utilization

Increasing loop size for improved efficiency

Avoiding loop blocking for simplicity

Code Optimization MCQ Test 5