Practice Introduction To Spark: General-purpose Cluster Computing (2) - Cloud Applications: MapReduce, Spark, and Apache Kafka
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Introduction to Spark: General-Purpose Cluster Computing

Practice - Introduction to Spark: General-Purpose Cluster Computing

Learning

Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What does RDD stand for?

💡 Hint: Think about the key features Spark provides.

Question 2 Easy

What is one advantage of Spark over MapReduce?

💡 Hint: Consider how data is handled differently.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What is Spark primarily used for?

Real-time processing
Batch processing
Machine Learning
All of the above

💡 Hint: Consider the versatility of Spark in data analytics.

Question 2

True or False: RDDs can be modified after creation.

True
False

💡 Hint: Think about how RDDs maintain integrity.

1 more question available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

Consider a scenario where a Spark application processes IoT sensor data in real time. How would you design its RDD transformations and actions to optimize performance?

💡 Hint: Think about how you can utilize transformations to filter data before invoking actions.

Challenge 2 Hard

Imagine you need to retrain a machine learning model using historical data. How would you leverage Spark's capabilities with RDDs for such a task?

💡 Hint: Consider how transformations could be employed in pre-processing data for your model training.

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Reference links

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