Practice Techniques - 10.4.2.1 | 10. JVM Internals and Performance Tuning | Advance Programming In Java
K12 Students

Academics

AI-Powered learning for Grades 8–12, aligned with major Indian and international curricula.

Professionals

Professional Courses

Industry-relevant training in Business, Technology, and Design to help professionals and graduates upskill for real-world careers.

Games

Interactive Games

Fun, engaging games to boost memory, math fluency, typing speed, and English skills—perfect for learners of all ages.

10.4.2.1 - Techniques

Enroll to start learning

You’ve not yet enrolled in this course. Please enroll for free to listen to audio lessons, classroom podcasts and take practice test.

Learning

Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What is the JIT compiler responsible for in the JVM?

💡 Hint: Think about the purpose of translating code.

Question 2

Easy

What does dead code elimination achieve?

💡 Hint: Consider how it impacts unused code.

Practice 4 more questions and get performance evaluation

Interactive Quizzes

Engage in quick quizzes to reinforce what you've learned and check your comprehension.

Question 1

What is the main goal of the JIT Compiler?

  • Compile bytecode into source code
  • Optimize bytecode execution speed
  • Store bytecode for later use

💡 Hint: Think about performance improvement.

Question 2

True or False: Loop unrolling is beneficial only for insignificant loops.

  • True
  • False

💡 Hint: Consider the use case for heavy iterations.

Solve 2 more questions and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Consider a Java application with extensive looping logic. How would you assess the potential for using loop unrolling? What strategies would you consider?

💡 Hint: Focus on instance frequency and execution costs.

Question 2

You have a method performing calculations that gets repeated in multiple places in your code. Discuss whether applying method inlining is beneficial here, considering context-aware variables.

💡 Hint: Consider the implications of reusing method code in different contexts.

Challenge and get performance evaluation