Q121
Q121 What is the primary advantage of Just-in-Time (JIT) compilation?
Improved runtime performance
Reduced compilation time
Smaller executable size
Faster debugging
Q122
Q122 How does JIT compilation differ from ahead-of-time (AOT) compilation?
JIT compiles at runtime, AOT compiles before execution
JIT generates intermediate code, AOT generates machine code
JIT is slower, AOT is faster
There is no difference
Q123
Q123 What is the role of the JIT compiler in a managed runtime environment like the JVM?
To interpret bytecode
To translate bytecode into machine code
To optimize high-level source code
To debug runtime errors
Q124
Q124 Which technique is commonly used by JIT compilers to improve runtime performance?
Inlining
Loop unrolling
Dynamic profiling
All of the above
Q125
Q125 What is the outcome of JIT compilation for a loop-intensive program?
Reduced memory usage
Improved loop performance
Delayed execution
Compile-time errors
Q126
Q126 How does JIT handle frequently executed code blocks?
By caching machine code
By recompiling bytecode
By discarding bytecode
By increasing runtime memory
Q127
Q127 What is the common issue faced during JIT compilation for dynamic languages?
Syntax errors
Runtime type errors
Memory allocation failure
Parsing errors
Q128
Q128 How can JIT-induced performance bottlenecks be resolved?
By disabling JIT optimizations
By improving garbage collection
By reducing memory usage
By optimizing hotspot code
Q129
Q129 What is the primary benefit of parallel compilation?
Reduced memory usage
Faster compilation time
Improved runtime performance
Simpler debugging
Q130
Q130 Which component of a distributed compilation system is responsible for task allocation?
Worker node
Master node
Compiler
Linker
Q131
Q131 What is a challenge associated with parallel compilation?
Optimizing machine code
Handling dependencies between tasks
Generating intermediate code
Ensuring lexical correctness
Q132
Q132 How does distributed compilation differ from parallel compilation?
Distributed compilation uses multiple computers, parallel compilation uses multiple cores
Distributed compilation is faster than parallel compilation
Parallel compilation handles larger codebases
There is no difference
Q133
Q133 What is the impact of parallelizing the lexical analysis phase?
Reduced errors
Increased complexity
Faster processing of tokens
No significant impact
Q134
Q134 How does distributed compilation handle large projects with multiple files?
By compiling all files on a single node
By distributing files across worker nodes
By delaying compilation
By optimizing object files
Q135
Q135 What debugging issue is commonly faced in parallel compilation?
Runtime errors
Deadlocks
Semantic errors
Code redundancy
Q136
Q136 What is a common challenge in debugging distributed compilation?
Identifying syntax errors
Tracking errors across multiple nodes
Optimizing machine code
Resolving type mismatches
Q137
Q137 What is the primary focus of advanced compiler optimization techniques?
Improving runtime performance
Reducing code size
Enhancing portability
All of the above
Q138
Q138 What is the role of polyhedral models in compiler optimization?
To analyze control flow
To optimize loop nests
To improve semantic analysis
To enhance lexical analysis
Q139
Q139 Which of the following is a characteristic of Just-in-Time (JIT) compilation in advanced topics?
Static optimization
Runtime optimization
Compile-time analysis
Intermediate code generation
Q140
Q140 How can data flow analysis improve variable usage in a program?
By identifying unused variables
By enhancing code readability
By optimizing memory allocation
By improving code size
Q141
Q141 What is the purpose of interprocedural analysis in advanced compilers?
To analyze a single function
To optimize within one module
To analyze across multiple functions
To improve lexical tokens
Q142
Q142 What type of error is most challenging to debug in parallelized code?
Syntax error
Data race condition
Lexical error
Semantic error
Q143
Q143 How do advanced compilers detect and correct memory leaks?
By analyzing heap usage
By checking for unused variables
By optimizing stack memory
By generating machine code
Q144
Q144 What is the main focus of compiler case studies?
Exploring theoretical aspects
Analyzing practical implementations
Improving runtime performance
Developing new languages
Q145
Q145 What challenge did the LLVM compiler address compared to traditional compilers?
Lack of open-source availability
Inability to support cross-platform code
Static compilation limitations
Poor optimization techniques
Q146
Q146 What unique feature does the GCC compiler provide to support multiple languages?
A unified intermediate representation
Dynamic linking
Multi-threaded compilation
Real-time debugging
Q147
Q147 How does the Java compiler handle platform independence?
By generating assembly code
By producing bytecode
By supporting native compilation
By linking libraries dynamically
Q148
Q148 What optimization technique is used in modern compilers to improve memory access patterns?
Loop fusion
Cache optimization
Register allocation
Constant folding
Q149
Q149 What debugging tool is commonly integrated with compilers for runtime analysis?
GDB
Valgrind
LLVM analyzer
Lex
Q150
Q150 How do compilers detect inconsistencies in interdependent modules?
By static linking
By cross-module analysis
By runtime execution
By optimizing intermediate code
