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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is online learning in machine learning?
💡 Hint: Think about how learning could happen continuously.
Question 2
Easy
Name one streaming framework.
💡 Hint: Consider tools used for processing real-time data.
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 best describes online learning?
- A method of batch processing
- Incremental updating of models
- Storing all data permanently
💡 Hint: Think about learning continuously versus all at once.
Question 2
True or False: Streaming frameworks can only handle batch data.
- True
- False
💡 Hint: Consider what happens when data is delivered in a stream.
Solve 1 more question and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Design a scenario in which online learning outperforms traditional batch learning techniques. What factors contribute to its success?
💡 Hint: Think about industries where real-time adaptation offers competitive advantages.
Question 2
Evaluate the challenges of using Apache Kafka versus a traditional database system for processing streaming data. What are the implications for data consistency and availability?
💡 Hint: Consider how fast data needs to be and how accuracy impacts decisions in real-time applications.
Challenge and get performance evaluation