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1Z0-819 · Question #10

Which describes an aspect of Java that contributes to high performance?

The correct answer is C. Java monitors and optimizes code that is frequently executed. Option C is correct because Java uses the Just-In-Time (JIT) compiler, which monitors running code and identifies "hot spots" - methods or loops executed frequently. The JIT then compiles those sections from bytecode into optimized native machine code, giving Java near-native…

Java Object-Oriented Approach

Question

Which describes an aspect of Java that contributes to high performance?

Options

  • AJava prioritizes garbage collection.
  • BJava has lightweight process functions that can be used to enable pipeline burst execution.
  • CJava monitors and optimizes code that is frequently executed.
  • DJava automatically parallelizes code execution.

How the community answered

(55 responses)
  • A
    2% (1)
  • B
    4% (2)
  • C
    82% (45)
  • D
    13% (7)

Explanation

Option C is correct because Java uses the Just-In-Time (JIT) compiler, which monitors running code and identifies "hot spots" - methods or loops executed frequently. The JIT then compiles those sections from bytecode into optimized native machine code, giving Java near-native performance over time without sacrificing its write-once-run-anywhere portability.

Why the distractors are wrong:

  • A - Garbage collection is actually a performance cost, not a benefit. GC pauses can hurt real-time performance, which is why low-latency applications try to minimize GC pressure.
  • B - Java has no built-in "lightweight process functions" or "pipeline burst execution" feature; this describes nothing real in the Java specification.
  • D - Java does not automatically parallelize code. Developers must explicitly use threads, ForkJoinPool, parallel streams, or concurrency utilities to achieve parallelism.

Memory tip: Think of the JIT as a "personal trainer" - it watches which code you run most, then makes just those parts as fast as possible. The keyword to lock in: JIT = monitors + optimizes hot code.

Topics

#JIT Compilation#Runtime Optimization#Hot Code Paths#Adaptive Compilation

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