Practice Using Hadoop and Spark Together - 13.5.3 | 13. Big Data Technologies (Hadoop, Spark) | Data Science Advance
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Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What is HDFS used for?

💡 Hint: Think about how data is stored in a distributed manner.

Question 2

Easy

What role does YARN play in Hadoop?

💡 Hint: Consider what happens when multiple jobs run at the same time.

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 HDFS stand for?

  • Hadoop Data File System
  • Hadoop Distributed File System
  • Hadoop Dynamic File System

💡 Hint: Think about the role of Hadoop in data storage.

Question 2

True or False: Spark can process data faster than Hadoop MapReduce.

  • True
  • False

💡 Hint: Consider the difference in how each system handles data.

Solve 1 more question and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Design a big data architecture for a retail business needing real-time analytics on sales data. Describe how Hadoop and Spark would work together in this architecture.

💡 Hint: Think about how data flows from collection to analysis.

Question 2

Discuss the potential challenges a company might face when integrating Hadoop and Spark, and propose solutions.

💡 Hint: Consider both technical and operational challenges.

Challenge and get performance evaluation