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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is one downside of Spark regarding its memory usage?
💡 Hint: Think about in-memory processing.
Question 2
Easy
Why might cluster tuning be necessary in Spark?
💡 Hint: Consider how tasks are handled in Spark.
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 a primary limitation of Apache Spark related to memory?
- Lower memory demand
- Higher memory demand
- No memory requirement
💡 Hint: Think about how Spark processes data.
Question 2
True or False: Spark has extensive built-in features for data governance.
- True
- False
💡 Hint: Consider the role of governance in data processing.
Solve 1 more question and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
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.
Question 2
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.
Challenge and get performance evaluation