Mongodb Database Administrator Interview Questions and Answers

Basic fundamentals of MongoDB include document-oriented data model, flexible schema, high availability, and horizontal scalability.

• Document-oriented data model: MongoDB stores data in flexible, JSON-like documents.

• Flexible schema: Fields can vary from document to document within a collection.

• High availability: MongoDB supports replica sets for automatic failover and data redundancy.

• Horizontal scalability: MongoDB can scale out by sharding data across multiple servers.

Indexing in MongoDB is the process of creating an index on a field in a collection to improve query performance.

• Indexes are created using the createIndex() method in MongoDB.

• Indexes can be created on single fields or compound fields.

• Indexes can be unique, sparse, or TTL indexes for different use cases.

• Queries can use indexes to quickly locate documents based on the indexed fields.

Day to day activities for MongoDB DBA involve monitoring database performance, optimizing queries, ensuring data security, and troubleshooting issues.

• Monitoring database performance and making necessary adjustments

• Optimizing queries for better efficiency

• Ensuring data security by implementing proper access controls and encryption

• Troubleshooting issues such as slow queries or database errors

• Performing regular backups and disaster recovery planning