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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What does high latency mean in the context of Hadoop?
💡 Hint: Think about how quickly data needs to be processed in real-time applications.
Question 2
Easy
Why is configuration complexity a limitation for Hadoop?
💡 Hint: Consider the implications of needing specialized skills.
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 is a major disadvantage of using Hadoop for real-time processing?
- High latency
- Low cost
- Easy to maintain
💡 Hint: Consider the definition of latency in the context of data processing.
Question 2
True or False: Hadoop is known for its real-time processing capabilities.
- True
- False
💡 Hint: Recall the focus of Hadoop on batch versus real-time processing.
Solve 1 more question and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Analyze a scenario where a financial institution needs timely fraud detection. Explain why Hadoop might not be suitable for this application.
💡 Hint: Consider the implications of delayed data processing in finance.
Question 2
A data scientist needs to implement a machine learning model using Hadoop. Discuss the challenges they might encounter due to Hadoop's limitations.
💡 Hint: Reflect on how those challenges impact machine learning.
Challenge and get performance evaluation