Practice Log Levels - 5.3 | Chapter 10: Testing, Debugging, and Logging | Python Advance
K12 Students

Academics

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

Academics

Grades

Grade 8 Grade 9 Grade 10 Grade 11 Grade 12

Curriculum

CBSE ICSE IB
Professionals

Professional Courses

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

Professional Courses
Games

Interactive Games

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

games
Typing
Memory
Math
English Adventures
Knowledge

5.3 - Log Levels

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 mock test.

Learning

Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What does the INFO log level indicate?

💡 Hint: Think about confirming successful actions in your application.

Question 2

Easy

List two log levels from the Python logging module.

💡 Hint: Remember the levels from most to least severe.

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

Which log level indicates the highest severity of issues?

  • DEBUG
  • ERROR
  • CRITICAL

💡 Hint: It's the level you should watch out for when the application is in serious trouble.

Question 2

True or False: DEBUG logs are generally used for confirming the application's normal operation.

  • True
  • False

💡 Hint: Think about what level typically contains information about successful executions.

Solve 1 more question and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

You are developing a Python application that processes user logs. Design a logging model that categorizes logs according to severity while ensuring sensitive data is protected. Discuss the implications of each log level in your strategy.

💡 Hint: Think about data protection regulations like GDPR when logging personal data.

Question 2

After running your application in production, you notice that it generates a massive amount of DEBUG logs, which is difficult to sift through. How would you transition your logging from DEBUG to INFO without losing critical data for debugging issues?

💡 Hint: Consider balancing between keeping track of important metrics and maintaining clarity in logs.

Challenge and get performance evaluation