Q. Point out the wrong statement.

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

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

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Q. Point out the wrong statement.

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

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

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

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

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

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Q. Aggregation pipeline was introduced in MongoDB version ______

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Q. Point out the wrong statement.

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

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

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Q. Point out the wrong statement.

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

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

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

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

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

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

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