Practice Partition - 3.3.2 | Week 8: Cloud Applications: MapReduce, Spark, and Apache Kafka | Distributed and Cloud Systems Micro Specialization
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3.3.2 - Partition

Learning

Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What are the two main phases of MapReduce?

πŸ’‘ Hint: Think about how data is processed and summarized.

Question 2

Easy

What does Kafka primarily facilitate?

πŸ’‘ Hint: Consider the role of messaging systems in data flow.

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 the main function of the MapReduce framework?

  • Data Preservation
  • Batch Processing
  • Real-time Streaming

πŸ’‘ Hint: Think about what MapReduce has been commonly used for.

Question 2

True or False: Apache Spark primarily uses disk-based processing.

  • True
  • False

πŸ’‘ Hint: Consider the key advantages Spark provides over MapReduce.

Solve 3 more questions and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Construct a MapReduce program outline for processing user activity logs to identify the top 10 most common actions on a web page daily.

πŸ’‘ Hint: Think about how you can leverage counting and sorting to find the most common actions.

Question 2

Explain how you could integrate Kafka with Spark to analyze social media feeds in real-time. Outline the data flow.

πŸ’‘ Hint: Identify the role of Kafka in capturing data and Spark in processing.

Challenge and get performance evaluation