1. What are the advantages and disadvantages of using MongoDB over a traditional relational database for large-scale applications?
2. Can you explain the architecture of MongoDB and how it differs from traditional databases in terms of data storage and retrieval?
3. How do you manage data consistency in a distributed MongoDB setup? Discuss the implications of eventual consistency versus strong consistency.
4. Describe the process of creating an index in MongoDB and how it impacts query performance. What are the trade-offs involved?
5. In your experience, what are the best practices for structuring data in a NoSQL database like MongoDB to optimize for read and write performance?
6. Explain how sharding works in MongoDB. What factors should be considered when planning a sharded cluster deployment?
7. How do you ensure data security in MongoDB deployments? What are the mechanisms available for authentication and authorization?
8. Can you describe the role of the aggregation framework in MongoDB? Provide examples of scenarios where it is particularly useful.
9. What strategies would you implement to backup and restore data in MongoDB, especially in a high-availability environment?
10. Discuss the Data Modeling techniques specific to MongoDB. How does it differ when compared to SQL data modeling?
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