Top 50 DocumentDB Interview Questions and Answers 2023

DocumentDB Interview Questions: If you’re preparing for a DocumentDB interview, it’s important to be familiar with this fully managed NoSQL document database service. Whether you’re a fresh graduate or an experienced developer, DocumentDB Technical Interview Questions can be challenging, but with the right preparation, you can ace your interview. In this article, we’ve compiled a list of commonly asked Top 50 DocumentDB Interview Questions and Answers to help you prepare and increase your chances of landing your dream job. Whether you’re looking for Latest DocumentDB Interview Questions or DocumentDB interview questions for freshers, we’ve got you covered. So, let’s get started!

Top 50 DocumentDB Interview Questions and Answers 2023

1. What is DocumentDB?

Ans: DocumentDB is a NoSQL database service provided by Amazon Web Services (AWS) that is designed to store and retrieve semi-structured data.

2. What is the data model used in DocumentDB?

Ans: DocumentDB uses a document data model that allows you to store and retrieve data as JSON documents.

3. How does DocumentDB differ from other NoSQL databases?

Ans: DocumentDB provides the scalability, performance, and availability of NoSQL databases while also supporting ACID (atomicity, consistency, isolation, durability) transactions, which are typically associated with relational databases.

4. What is the maximum size of a document in DocumentDB?

Ans: The maximum size of a document in DocumentDB is 16 MB.

5. How does DocumentDB support consistency?

Ans: DocumentDB provides both strong and eventual consistency options to support different types of workloads.

6. How can you access DocumentDB?

Ans: DocumentDB can be accessed through AWS Management Console, command line interface, and APIs.

7. Can you use DocumentDB with non-AWS applications?

Ans: Yes, you can use DocumentDB with non-AWS applications by using the DocumentDB APIs.

8. What is the pricing model for DocumentDB?

Ans: DocumentDB pricing is based on the amount of data stored, the number of read and write operations, and the amount of data transferred in and out of the database.

9. What is the maximum size of a DocumentDB cluster?

Ans: The maximum size of a DocumentDB cluster is 256 nodes.

10. How does DocumentDB handle backups?

Ans: DocumentDB automatically creates daily backups that are retained for up to 35 days.

11. How does DocumentDB handle replication?

Ans: DocumentDB supports replication across multiple availability zones to provide high availability and durability.

12. How does DocumentDB handle sharding?

Ans: DocumentDB supports sharding through automatic partitioning of data across nodes in a cluster.

13. How does DocumentDB handle indexing?

Ans: DocumentDB provides automatic indexing for all attributes within a document, as well as the ability to create custom indexes.

14. How can you optimize query performance in DocumentDB?

Ans: Query performance in DocumentDB can be optimized by using appropriate indexing, sharding, and query patterns.

15. How does DocumentDB handle data migration?

Ans: DocumentDB supports data migration from other NoSQL databases using AWS Database Migration Service.

16. How does DocumentDB handle security?

Ans: DocumentDB provides encryption at rest and in transit, as well as access control through AWS Identity and Access Management (IAM).

17. What is the maximum number of collections per database in DocumentDB?

Ans: DocumentDB allows up to 64 collections per database.

18. How does DocumentDB handle consistency in multi-region deployments?

Ans: DocumentDB supports multi-region deployments with automatic conflict resolution and failover.

19. How does DocumentDB handle transactions?

Ans: DocumentDB provides support for ACID transactions, allowing multiple operations to be grouped into a single transaction.

20. What is the maximum throughput supported by DocumentDB?

Ans: DocumentDB can support up to 10 million requests per second.

21. How does DocumentDB handle scaling?

Ans: DocumentDB supports horizontal scaling through automatic partitioning of data across nodes in a cluster.

22. How does DocumentDB handle resource utilization?

Ans: DocumentDB provides resource management through capacity modes, which allow you to specify the maximum amount of resources that can be used by a cluster.

23. What is the maximum number of indexes per collection in DocumentDB?

Ans: DocumentDB allows up to 20 indexes per collection.

24. How does DocumentDB handle backups in multi-region deployments?

Ans: DocumentDB provides cross-region backups to support disaster recovery in multi -region deployments.

25. What is the maximum number of regions supported by DocumentDB?

Ans: DocumentDB supports up to six regions.

26. How does DocumentDB handle data partitioning?

Ans: DocumentDB automatically partitions data across nodes in a cluster based on the hash value of the primary key.

27. How does DocumentDB handle query optimization?

Ans: DocumentDB automatically optimizes queries by selecting the most efficient index and shard to retrieve data.

28. How does DocumentDB handle change streams?

Ans: DocumentDB provides change streams that allow you to monitor changes to data in real-time.

29. How does DocumentDB handle time-to-live (TTL) settings?

Ans: DocumentDB provides TTL settings that allow you to automatically expire data after a specified amount of time.

30. How does DocumentDB handle failover?

Ans: DocumentDB provides automatic failover between nodes in a cluster to ensure high availability and durability.

31. How does DocumentDB handle data consistency in multi-region deployments?

Ans: DocumentDB provides eventual consistency between regions in multi-region deployments, with automatic conflict resolution.

32. How does DocumentDB handle read replicas?

Ans: DocumentDB provides read replicas to support high read throughput and to offload read traffic from the primary instance.

33. How does DocumentDB handle write throughput?

Ans: DocumentDB supports high write throughput through partitioning data across nodes in a cluster.

34. How does DocumentDB handle schema changes?

Ans: DocumentDB supports schema changes through in-place updates and atomic transactions.

35. How does DocumentDB handle bulk data operations?

Ans: DocumentDB supports bulk data operations through batch APIs and parallel scans.

36. How does DocumentDB handle performance tuning?

Ans: DocumentDB provides performance tuning options such as caching, indexing, and sharding to optimize query performance.

37. How does DocumentDB handle resource allocation?

Ans: DocumentDB provides resource allocation through capacity modes, which allow you to specify the amount of resources allocated to a cluster.

38. How does DocumentDB handle data durability?

Ans: DocumentDB provides durability through replication across multiple availability zones and automatic backups.

39. How does DocumentDB handle data security?

Ans: DocumentDB provides security through encryption at rest and in transit, as well as access control through IAM.

40. How does DocumentDB handle disaster recovery?

Ans: DocumentDB provides cross-region backups and automatic failover to ensure disaster recovery in case of a region failure.

41. How does DocumentDB handle data governance?

Ans: DocumentDB provides data governance through auditing, monitoring, and compliance certifications.

42. How does DocumentDB handle multi-tenant deployments?

Ans: DocumentDB supports multi-tenant deployments through separate databases and collections for each tenant.

43. How does DocumentDB handle data modeling?

Ans: DocumentDB supports flexible data modeling through the document data model and the ability to create custom indexes.

44. How does DocumentDB handle data migration from relational databases?

Ans: DocumentDB provides data migration from relational databases using AWS Database Migration Service.

45. How does DocumentDB handle data backup and restore?

Ans: DocumentDB provides automatic backups and point-in-time restores to support data backup and restore.

46. How does DocumentDB handle data versioning?

Ans: DocumentDB provides data versioning through conditional writes and the ability to retrieve previous versions of documents.

47. How does DocumentDB handle data archiving?

Ans: DocumentDB supports data archiving through TTL settings and integration with AWS Glacier.

48. How does DocumentDB handle data exploration?

Ans: DocumentDB provides data exploration through the ability to query and analyze data using SQL, MongoDB APIs, and AWS services such as Amazon QuickSight.

49. How does DocumentDB handle data replication to other databases?

Ans: DocumentDB supports data replication to other databases using AWS Database Migration Service or custom data pipelines.

50. How does DocumentDB compare to other databases such as MongoDB and Cassandra?

Ans: DocumentDB offers the scalability and flexibility of NoSQL databases while also providing ACID transactions and a SQL-compatible API. Compared to MongoDB and Cassandra, DocumentDB offers better performance, scalability, and availability while also providing more advanced features for data management and security.

This interview guide, Top 50 DocumentDB Interview Questions and Answers, provided valuable insights into DocumentDB, its features, and best practices. Armed with this knowledge, candidates can confidently navigate DocumentDB interview questions and impress potential employers. Do follow us @ freshersnow.com daily to learn more.