Practice Apache Spark - 13.3 | 13. Big Data Technologies (Hadoop, Spark) | Data Science Advance
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Apache Spark

13.3 - Apache Spark

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Learning

Practice Questions

Test your understanding with targeted questions

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.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

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.

1 more question available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

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.

Challenge 2 Hard

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

💡 Hint: Think about how planning can save resources.

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