Practice Streaming Frameworks - 12.5.2 | 12. Scalability & Systems | Advance Machine Learning
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Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What is the purpose of Apache Kafka?

πŸ’‘ Hint: Think of it as a central hub for data streams.

Question 2

Easy

Define streaming frameworks.

πŸ’‘ Hint: Consider how data flows continuously in these systems.

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 do?

  • Data storage
  • Message brokering
  • Data analysis

πŸ’‘ Hint: Think about its primary function in data flow.

Question 2

True or False: Apache Flink excels in stateful stream processing.

  • True
  • False

πŸ’‘ Hint: Recall the strengths of Flink.

Solve 1 more question and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

How would you implement a real-time fraud detection system using Apache Kafka and Flink?

πŸ’‘ Hint: Consider how real-time processing can uncover fraud patterns effectively.

Question 2

Discuss how to balance throughput and latency while processing streaming data.

πŸ’‘ Hint: Think about operational challenges in real-time data handling.

Challenge and get performance evaluation