MongoDB is a popular NoSQL database system renowned for its flexibility and scalability. It uses a document-oriented model, storing data in JSON-like BSON format, allowing for dynamic schemas and easy data manipulation. MongoDB's distributed architecture supports horizontal scaling, ensuring high availability and performance. It's widely utilized for applications requiring real-time data access and complex data structures. Its features include automatic sharding, replication, and support for geospatial data, making it a versatile choice for a broad range of industries, from e-commerce and social media to IoT and big data analytics.
101. What is the primary purpose of text search in MongoDB?
102. Which text index type in MongoDB is designed for case-insensitive text search?
103. What does a text index in MongoDB allow you to do?
104. Which operator is used to perform text searches in MongoDB?
105. How can you specify the text search query in MongoDB?
106. What is the primary goal of text search in MongoDB?
107. In MongoDB, what is the purpose of the "weights" option in text indexes?
108. How can you control the search relevancy of individual text index fields in MongoDB?
109. What does the "default_language" option in a text index specify in MongoDB?
110. In MongoDB, what is the "textScore" field used for in a query result?