Practice Big Data Technologies (Hadoop, Spark) - 13 | 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

Define Big Data.

πŸ’‘ Hint: Think about the characteristics that define Big Data.

Question 2

Easy

What does HDFS stand for?

πŸ’‘ Hint: Consider the storage aspect of Hadoop.

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 'Velocity' refer to in Big Data?

  • The size of data
  • The speed of data generation
  • The type of data

πŸ’‘ Hint: Think about the pace of data influx.

Question 2

Apache Spark primarily processes data in which way?

  • True
  • False

πŸ’‘ Hint: Recall how Spark handles data compared to Hadoop.

Solve 3 more questions and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Describe a scenario where Hadoop might be the preferred technology over Spark and explain why.

πŸ’‘ Hint: Think about situations requiring less real-time processing and more reliable storage.

Question 2

How can integrating Hadoop with Spark improve data processing capabilities?

πŸ’‘ Hint: Consider storage and processing dynamics.

Challenge and get performance evaluation