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?
Answer:Full-text search
102. Which text index type in MongoDB is designed for case-insensitive text search?
Answer:Collation Index
103. What does a text index in MongoDB allow you to do?
Answer:Index text fields
104. Which operator is used to perform text searches in MongoDB?
Answer:$text
105. How can you specify the text search query in MongoDB?
Answer:Use the "$text" operator
106. What is the primary goal of text search in MongoDB?
Answer:Efficiently searching for text
107. In MongoDB, what is the purpose of the "weights" option in text indexes?
Answer:Adjust the search relevancy
108. How can you control the search relevancy of individual text index fields in MongoDB?
Answer:Adjust the "weights" option
109. What does the "default_language" option in a text index specify in MongoDB?
Answer:The default search language
110. In MongoDB, what is the "textScore" field used for in a query result?
