13.3.6 - Limitations of Spark
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Practice Questions
Test your understanding with targeted questions
What is one downside of Spark regarding its memory usage?
💡 Hint: Think about in-memory processing.
Why might cluster tuning be necessary in Spark?
💡 Hint: Consider how tasks are handled in Spark.
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Interactive Quizzes
Quick quizzes to reinforce your learning
What is a primary limitation of Apache Spark related to memory?
💡 Hint: Think about how Spark processes data.
True or False: Spark has extensive built-in features for data governance.
💡 Hint: Consider the role of governance in data processing.
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Challenge Problems
Push your limits with advanced challenges
Given a scenario where a healthcare company uses Spark for patient data analysis but struggles with compliance, outline steps they could take to enhance data governance.
💡 Hint: Reflect on the principles of data security and compliance.
If a research lab experiences performance issues due to Spark’s high memory usage, what strategies could they employ to mitigate these issues?
💡 Hint: Consider what settings might affect performance and efficiency.
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