Oracle – Optimizing PL/SQL Performance MCQ

Oracle – Optimizing PL/SQL Performance

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1. What tools can assist in optimizing PL/SQL performance?

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2. How can you identify memory usage issues in PL/SQL code?

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3. What is a common technique for identifying bottlenecks in PL/SQL code?

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4. When optimizing PL/SQL code, what does choosing the fastest program refer to?

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5. What is one way to avoid infinite loops in PL/SQL code?

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6. In PL/SQL, what do performance-related warnings help identify?

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7. What is the primary purpose of the optimizing compiler in PL/SQL?

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8. How does the optimizer work to improve PL/SQL performance?

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9. What is a common technique for runtime optimization of fetch loops in PL/SQL?

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10. How can data caching techniques improve PL/SQL performance?

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11. What is the primary benefit of package-based caching in PL/SQL?

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12. What is the primary purpose of deterministic function caching in PL/SQL?

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13. What is the Function Result Cache introduced in Oracle Database 11g used for?

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14. What is a key advantage of using BULK COLLECT for high-speed querying in PL/SQL?

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15. What does FORALL enable in PL/SQL for high-speed DML operations?

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16. How can pipelined table functions improve PL/SQL performance?

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17. When is it advisable to replace row-based inserts with pipelined function-based loads in PL/SQL?

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18. What is the primary goal of tuning merge operations with pipelined functions in PL/SQL?

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19. What is asynchronous data unloading with parallel pipelined functions used for in PL/SQL?

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20. What performance implications are associated with partitioning and streaming clauses in parallel pipelined functions in PL/SQL?

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21. How do pipelined functions interact with the cost-based optimizer in Oracle?

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22. When should you consider using the NOCOPY parameter mode hint in PL/SQL?

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23. What is one way to optimize function performance in SQL in Oracle?

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24. What is the primary focus when stepping back for the big picture on performance in PL/SQL?

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25. How can you optimize function performance in SQL in Oracle?

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