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db.posts.find({ likes : { $gte : 100 , $lte : 200 } } );

db.posts.find({ likes : { $gt : 100 , $lte : 200 } } );

db.posts.find({ likes : { $gte : 100, $lt : 200 } } );

db.posts.find({ likes : { $gt : 100, $lt : 200 > > );

mapReduce

group

aggregate

All of the above

Each aggregation operator need to return atleast one of more documents as a result

the aggregate command operates on a multiple collection

A single aggregation framework operator can be used more than once in a query

Pipeline expressions are stateless except accumulator expressions used with $group operator

db.posts.createIndex({commerits.$.author":-l});

db.posts.createIndex({comments.$.author": {$desc:l>});

db.posts.createIndex({comments.author":-l});

2 MB

12 MB

There is no maximum size. It depends on the RAM.

16 MB

Code block

Name/value pair

Key

None of the above

Skip and limit nullify each other. Hence returning the first five documents.

Skips the first five documents and returns the next five

Limits the first five documents and then return them in reverse order

Skips the first five documents and returns the sixth document five times

MongoDB supports geospatial indexes

MongoDB supports some of the SQL functions

MongoDB uses JSON format to represent documents

MongoDB supports collection joins