Q. Running data aggregation on the ________ instance simplifies application code and limits resource requirements.

View solution

Q. Documents enter a multi-stage __________ that transforms the documents into an aggregated result.

View solution

Q. Point out the wrong statement.

View solution

Q. The most basic pipeline stages provide __________ that operate like queries.

View solution

Q. Pipeline stages can use __________ for tasks such as calculating the average or concatenating a string.

View solution

Q. Map-reduce uses custom __________ functions to perform the map and reduce operations.

View solution

Q. Which of the following operation can be optionally used for map reduce?

View solution

Q. The aggregation pipeline can use ___________ to improve its performance during some of its stages.

View solution

Q. Aggregation pipeline was introduced in MongoDB version ______

View solution

Q. Point out the wrong statement.

View solution

Q. ________ calculates aggregate values for the data in a collection.

View solution

Q. Cursors returned from aggregation only supports cursor methods like ________________

View solution

Q. Point out the wrong statement.

View solution

Q. ______ can be used to iterate the cursor of document results returned by db.collection.find().

View solution

Q. To handle large datasets, set _________ option to true to enable writing data to temporary files.

View solution

Q. Syntax for specifying an initial batch size for the cursor is ________________

View solution

Q. Query shape consists of a combination of query, sort, and _________ specifications.

View solution

Q. Which of the following method is overrided by Index filters?

View solution

Q. Which of the following database command is used for mapreduce function?

View solution

Q. MongoDB applies the _____ phase to each input document in mapreduce.

View solution