Practice Streaming Analytics - 3.2.2 | Week 8: Cloud Applications: MapReduce, Spark, and Apache Kafka | Distributed and Cloud Systems Micro Specialization
K12 Students

Academics

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

Academics
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 skillsβ€”perfect for learners of all ages.

games

3.2.2 - Streaming Analytics

Learning

Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What is Streaming Analytics?

πŸ’‘ Hint: Think about integrating data as it is generated.

Question 2

Easy

Name a key feature of Apache Kafka.

πŸ’‘ Hint: Consider how it manages multiple data streams.

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 does Apache Kafka primarily facilitate?

  • Data storage
  • Data analysis
  • Data streaming

πŸ’‘ Hint: Think about the operations Kafka manages in real-time.

Question 2

True or False: Kafka messages are stored in an ordered manner.

  • True
  • False

πŸ’‘ Hint: Consider how messages are displayed and accessed in Kafka.

Solve and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Describe how you would implement a real-time analytics dashboard using Apache Kafka and what considerations you would need to take into account regarding scalability and fault tolerance.

πŸ’‘ Hint: Think about how users will interact with real-time data and what data accuracy means for the dashboard.

Question 2

Evaluate the performance differences between traditional ETL processes and real-time data processing using Kafka. Consider aspects like data freshness, processing speed, and system complexity.

πŸ’‘ Hint: Consider how data visibility matters for businesses in today's fast-paced environment.

Challenge and get performance evaluation