Question 91 : Aggregation pipeline was introduced in MongoDB version ______
1. 2.1
2. 2.2
3. 2.4
4. 3.0
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Question 92 : The aggregation pipeline can use ___________ to improve its performance during some of its stages.
1. indexes
2. OptmData
3. functions
4. all of the mentioned
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Question 93 : Which of the following operation can be optionally used for map reduce ?
1. finally
2. final
3. static
4. none of the mentioned
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Question 94 : Map-reduce uses custom __________ functions to perform the map and reduce operations.
1. Java
2. Javascript
3. JSON
4. None of the mentioned
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Question 95 : Pipeline stages can use __________ for tasks such as calculating the average or concatenating a string.
1. replicas
2. operators
3. roles
4. all of the mentioned
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Question 96 : The most basic pipeline stages provide __________ that operate like queries.
1. methods
2. filters
3. stored procedure
4. none of the mentioned
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Question 97 : Documents enter a multi-stage __________ that transforms the documents into an aggregated result.
1. pipeline
2. pipelineView
3. pipelineUser
4. all of the mentioned
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Question 98 : Running data aggregation on the ________ instance simplifies application code and limits resource requirements.
1. document
2. mongod
3. mongos
4. all of the mentioned
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Question 99 : Point out the wrong statement :
1. Map-reduce cannot have a finalize stage to make final modifications to the result
2. Map-reduce is less efficient and more complex than the aggregation pipeline
3. Specifically, a user with the userAdmin role can grant itself any privilege in the database
4. All of the mentioned
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Question 100 : ____________ are operations that process data records and return computed results.
1. ReplicaAgg
2. SumCalculation
3. Aggregations
4. None of the mentioned
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