Practice Streaming Frameworks (12.5.2) - Scalability & Systems - Advance Machine Learning
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Streaming Frameworks

Practice - Streaming Frameworks

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Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What is the purpose of Apache Kafka?

💡 Hint: Think of it as a central hub for data streams.

Question 2 Easy

Define streaming frameworks.

💡 Hint: Consider how data flows continuously in these systems.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What does Apache Kafka primarily do?

Data storage
Message brokering
Data analysis

💡 Hint: Think about its primary function in data flow.

Question 2

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

True
False

💡 Hint: Recall the strengths of Flink.

1 more question available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

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

💡 Hint: Consider how real-time processing can uncover fraud patterns effectively.

Challenge 2 Hard

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

💡 Hint: Think about operational challenges in real-time data handling.

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Reference links

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