1. Explain the differences between transactional and analytical processing in databases.
2. What is the role of a database engine, and how does it affect performance?
3. Describe the process and advantages of data sharding in distributed databases.
4. What are the implications of using a distributed ACID transaction model?
5. Explain the concept of database consistency models and their types.
6. What is a multi-version concurrency control (MVCC) and how does it work?
7. Describe the differences between optimistic and pessimistic concurrency control.
8. What are the benefits of using a data lake in modern data architectures?
9. Explain the process of logical and physical data modeling in database design.
10. What are the key features of a NoSQL database and its application scenarios?
11. Describe the CAP theorem and its implications for distributed database design.
12. What is eventual consistency, and how does it differ from strong consistency?
13. Explain the differences between BASE and ACID transaction models.
14. What is a write-ahead log, and how does it contribute to database recovery?
15. Describe the role of a query optimizer in relational database management systems.
16. What are the advanced indexing techniques used in large databases?
17. Explain the concept of database partitioning and its types.
18. What are the best practices for designing high-performance SQL queries?
19. Describe the differences between horizontal and vertical scaling of databases.
20. What are the key challenges in implementing database replication?
21. Explain the role of stored procedures in performance tuning.
22. Describe the concept of a database service mesh and its benefits.
23. What is the purpose of a database management system (DBMS) cluster?
24. Explain how caching mechanisms can improve database performance.
25. What are the implications of using in-memory databases for OLTP applications?
26. Describe the process of implementing a database microservices architecture.
27. What is the significance of data lineage in data governance?
28. Explain how to measure database performance using various metrics.
29. What are the key differences between SQL and NoSQL query languages?
30. Describe the implications of GDPR and other regulations on database design.
31. What is a data virtualization layer, and how does it function?
32. Explain the impact of machine learning on database optimization.
33. What are the advantages of using a hybrid database solution?
34. Describe the role of artificial intelligence in database management.
35. Explain the concept of database service orchestration.
36. What are the challenges of integrating legacy systems with modern databases?
37. Describe the significance of database encryption and its methodologies.
38. What is the role of a database audit log in security compliance?
39. Explain the importance of having a disaster recovery plan for databases.
40. What are the best practices for managing database schema changes?