Practice Spark Execution Model - 13.3.4 | 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 is the role of the Driver Program in Apache Spark?

💡 Hint: Think about what central control does in any system.

Question 2

Easy

Define Lazy Evaluation in the context of Spark.

💡 Hint: Consider how waiting to act can save resources.

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 the Driver Program do in Spark?

  • Orchestrates task execution
  • Manages data storage
  • Controls the user interface

💡 Hint: Think about what drives the workflow.

Question 2

True or False: The DAG Scheduler in Spark can hold cyclic graphs.

  • True
  • False

💡 Hint: What happens if you loop back in a process?

Solve 1 more question and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

How would you explain the interaction between the Driver Program and Executors in a scenario where data processing needs to be done in real-time?

💡 Hint: Think about how you might delegate urgent tasks in a fast-paced environment.

Question 2

Given a set of data transformations in Spark, explain how Lazy Evaluation can potentially reduce execution time for a series of transformations followed by an action.

💡 Hint: Consider a situation where a final assessment is needed before taking action.

Challenge and get performance evaluation