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Question-1. What is a cloud database?
Answer-1: A cloud database is a database that runs on a cloud computing platform and can be accessed as a service.
Question-2. What are SQL databases?
Answer-2: SQL databases are structured databases that use Structured Query Language (SQL) for defining and manipulating data.
Question-3. What are NoSQL databases?
Answer-3: NoSQL databases are non-relational databases designed to store and retrieve data that may not be structured or follow a fixed schema.
Question-4. Name some popular SQL cloud databases.
Answer-4: Examples include Amazon RDS, Google Cloud SQL, Azure SQL Database, and Oracle Cloud Database.
Question-5. Name some popular NoSQL cloud databases.
Answer-5: Examples include Amazon DynamoDB, Google Firestore, Azure Cosmos DB, and MongoDB Atlas.
Question-6. What are the key features of SQL databases?
Answer-6: Structured schema, ACID compliance, strong consistency, and relational data modeling.
Question-7. What are the key features of NoSQL databases?
Answer-7: Flexible schema, high scalability, eventual consistency, and support for unstructured data.
Question-8. When should you choose SQL over NoSQL?
Answer-8: Choose SQL when data relationships are complex and consistency is a priority.
Question-9. When should you choose NoSQL over SQL?
Answer-9: Choose NoSQL for scalable, high-performance applications with unstructured or semi-structured data.
Question-10. What does ACID stand for?
Answer-10: Atomicity, Consistency, Isolation, Durability.
Question-11. Do NoSQL databases support ACID?
Answer-11: Some NoSQL databases partially support ACID transactions, but typically they prioritize scalability over strong consistency.
Question-12. What does BASE stand for in NoSQL?
Answer-12: Basically Available, Soft state, Eventually consistent.
Question-13. What are the types of NoSQL databases?
Answer-13: Document, Key-value, Column-family, and Graph databases.
Question-14. What is an example of a document database?
Answer-14: MongoDB and Amazon DocumentDB are examples of document databases.
Question-15. What is an example of a key-value store?
Answer-15: Redis and Amazon DynamoDB are examples of key-value stores.
Question-16. What is an example of a column-family database?
Answer-16: Apache Cassandra and HBase are examples of column-family databases.
Question-17. What is an example of a graph database?
Answer-17: Neo4j and Amazon Neptune are examples of graph databases.
Question-18. How is data stored in SQL databases?
Answer-18: Data is stored in tables with rows and columns.
Question-19. How is data stored in document databases?
Answer-19: Data is stored as JSON or BSON documents.
Question-20. Can NoSQL databases perform joins?
Answer-20: Most NoSQL databases do not support joins, unlike SQL databases.
Question-21. How is scalability handled in SQL databases?
Answer-21: SQL databases typically scale vertically (adding more power to one machine).
Question-22. How is scalability handled in NoSQL databases?
Answer-22: NoSQL databases often scale horizontally (adding more machines).
Question-23. Which is better for transactional systems?
Answer-23: SQL databases are better suited for transactional systems due to ACID compliance.
Question-24. Which is better for real-time analytics?
Answer-24: NoSQL databases can be better due to their performance and scalability.
Question-25. What cloud services offer managed SQL databases?
Answer-25: Amazon RDS, Google Cloud SQL, and Azure SQL Database.
Question-26. What cloud services offer managed NoSQL databases?
Answer-26: Amazon DynamoDB, Google Firestore, Azure Cosmos DB, and MongoDB Atlas.
Question-27. Can SQL databases be schema-less?
Answer-27: No, SQL databases require a predefined schema.
Question-28. Can NoSQL databases be schema-less?
Answer-28: Yes, NoSQL databases allow schema-less or dynamic schema designs.
Question-29. What is data normalization?
Answer-29: Data normalization is organizing data to reduce redundancy in relational databases.
Question-30. Is normalization used in NoSQL databases?
Answer-30: NoSQL databases often use denormalized data models for performance.
Question-31. How is indexing handled in SQL databases?
Answer-31: SQL databases support complex indexing on multiple fields to speed up queries.
Question-32. How is indexing handled in NoSQL databases?
Answer-32: NoSQL databases provide flexible or automatic indexing depending on the type.
Question-33. Are cloud databases secure?
Answer-33: Yes, cloud providers offer encryption, access control, and compliance certifications for databases.
Question-34. What is replication in cloud databases?
Answer-34: Replication is the process of copying data across multiple nodes for high availability and disaster recovery.
Question-35. Do SQL and NoSQL both support replication?
Answer-35: Yes, both types support replication, but implementation varies.
Question-36. How do backups work in cloud SQL databases?
Answer-36: Cloud SQL databases offer automated and manual backups stored in cloud storage.
Question-37. Do NoSQL cloud databases support automated backups?
Answer-37: Yes, managed NoSQL databases support automated backup and restore options.
Question-38. Which is easier to scale: SQL or NoSQL?
Answer-38: NoSQL is generally easier to scale horizontally.
Question-39. Can SQL databases be used for big data?
Answer-39: Yes, but they may require special configurations or extensions.
Question-40. Can NoSQL databases handle structured data?
Answer-40: Yes, although they are optimized for unstructured or semi-structured data.
Question-41. What is sharding in NoSQL?
Answer-41: Sharding is the process of distributing data across multiple machines or partitions.
Question-42. Do SQL databases support sharding?
Answer-42: Some SQL systems support sharding, but it is more complex to implement.
Question-43. What is a polyglot persistence approach?
Answer-43: Using different types of databases (SQL and NoSQL) for different needs in the same system.
Question-44. What is query language for NoSQL?
Answer-44: Depends on the type; for example, MongoDB uses a JSON-like query language.
Question-45. What query language do SQL databases use?
Answer-45: Structured Query Language (SQL).
Question-46. What is latency in cloud databases?
Answer-46: Latency refers to the time it takes to complete a database request.
Question-47. Which generally has lower latency: SQL or NoSQL?
Answer-47: NoSQL often provides lower latency due to its distributed nature.
Question-48. What is eventual consistency in NoSQL?
Answer-48: Eventual consistency means all nodes will eventually have the same data, but not immediately.
Question-49. Which cloud database supports global distribution?
Answer-49: Azure Cosmos DB supports global distribution with multi-region writes.
Question-50. Should you use SQL or NoSQL for a financial application?
Answer-50: SQL is preferred due to strong consistency and transaction support.
Frequently Asked Question and Answer on Cloud Databases: SQL vs NoSQL
Cloud Databases: SQL vs NoSQL Interview Questions and Answers in PDF form Online
Cloud Databases: SQL vs NoSQL Questions with Answers
Cloud Databases: SQL vs NoSQL Trivia MCQ Quiz
