Practice Apache Spark - 13.3 | 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 does RDD stand for?

💡 Hint: Think of it as a collection of data distributed across a cluster.

Question 2

Easy

List one advantage of using Apache Spark.

💡 Hint: Consider how it compares to 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 is a major feature of Apache Spark?

  • Disk-based processing
  • In-memory processing
  • Low speed

💡 Hint: Think about how data is utilized within the framework.

Question 2

True or False: Apache Spark only supports batch processing.

  • True
  • False

💡 Hint: Remember the flexibility Spark provides in data handling.

Solve 1 more question and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Design a simple Spark application architecture that combines Spark SQL and MLlib to analyze housing prices based on various features.

💡 Hint: Consider how you would structure data and which variables would be important.

Question 2

Identify how Spark's lazy evaluation feature can be beneficial in optimizing performance during data processing.

💡 Hint: Think about how planning can save resources.

Challenge and get performance evaluation