In-memory processing of large data makes PySpark ideal for ____ computation

5. In-memory processing of large data makes PySpark ideal for ____ computation.

  1. Virtual
  2. Real-time
  3. Static
  4. Dynamic

Answer: B) Real-time

Explanation:

In-memory processing of large data makes PySpark ideal for real-time computation.

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