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101.

Point out the wrong statement.(a) Aggregation pipeline have some limitations on value types and result size(b) The aggregation pipeline is a framework for data aggregation modeled on the concept of data processing pipelines(c) Documents enter a multi-stage pipeline that transforms the documents into an aggregated results(d) All of the mentionedThis question was addressed to me during an online exam.I'm obligated to ask this question of Aggregation Pipeline in division Aggregation Concepts and Aggregation Mechanics of MongoDB

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The CORRECT answer is (d) All of the mentioned

For EXPLANATION I WOULD SAY: The MongoDB aggregation pipeline CONSISTS of stages.

102.

Aggregation pipeline was introduced in MongoDB version ______(a) 2.1(b) 2.2(c) 2.4(d) 3.0I have been asked this question by my school principal while I was bunking the class.This key question is from Aggregation Pipeline in division Aggregation Concepts and Aggregation Mechanics of MongoDB

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Right CHOICE is (B) 2.2

The explanation is: The aggregation pipeline PROVIDES an ALTERNATIVE to map-reduce.

103.

The aggregation pipeline can use ___________ to improve its performance during some of its stages.(a) indexes(b) OptmData(c) functions(d) all of the mentionedThis question was addressed to me by my college director while I was bunking the class.My question is from Aggregation topic in division Aggregation Concepts and Aggregation Mechanics of MongoDB

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Right CHOICE is (a) indexes

To elaborate: Both the AGGREGATION PIPELINE and map-reduce can operate on a sharded collection.

104.

Which of the following operation can be optionally used for map reduce?(a) finally(b) final(c) static(d) none of the mentionedI got this question during an interview for a job.The doubt is from Aggregation in chapter Aggregation Concepts and Aggregation Mechanics of MongoDB

Answer» CORRECT OPTION is (a) finally

The EXPLANATION is: Certain mongo shell FUNCTIONS and properties are inaccessible in map-reduce operations.
105.

Map-reduce uses custom __________ functions to perform the map and reduce operations.(a) Java(b) Javascript(c) JSON(d) None of the mentionedThis question was addressed to me during an online exam.This interesting question is from Aggregation in chapter Aggregation Concepts and Aggregation Mechanics of MongoDB

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Correct option is (B) JAVASCRIPT

Easy EXPLANATION: JavaScript provide GREAT flexibility compared to the aggregation pipeline.

106.

Pipeline stages can use __________ for tasks such as calculating the average or concatenating a string.(a) replicas(b) operators(c) roles(d) all of the mentionedThe question was posed to me in quiz.My question is from Aggregation topic in chapter Aggregation Concepts and Aggregation Mechanics of MongoDB

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Right OPTION is (B) operators

Easiest explanation: USER can remove any ROLE from any user from any database in the SYSTEM.

107.

The most basic pipeline stages provide __________ that operate like queries.(a) methods(b) filters(c) stored procedure(d) none of the mentionedThe question was asked by my college director while I was bunking the class.My enquiry is from Aggregation topic in portion Aggregation Concepts and Aggregation Mechanics of MongoDB

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The correct choice is (b) filters

Explanation: Other pipeline OPERATIONS PROVIDE TOOLS for GROUPING and SORTING documents by specific field.

108.

Running data aggregation on the ________ instance simplifies application code and limits resource requirements.(a) document(b) mongod(c) mongos(d) all of the mentionedI got this question in an interview for job.My doubt stems from Aggregation in division Aggregation Concepts and Aggregation Mechanics of MongoDB

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The CORRECT answer is (b) mongod

For explanation: Like queries, aggregation OPERATIONS in MongoDB USE collections of documents as an input and return results in the form of ONE or more documents.

109.

Documents enter a multi-stage __________ that transforms the documents into an aggregated result.(a) pipeline(b) pipelineView(c) pipelineUser(d) all of the mentionedI had been asked this question in exam.Asked question is from Aggregation topic in portion Aggregation Concepts and Aggregation Mechanics of MongoDB

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The correct OPTION is (a) pipeline

To ELABORATE: MongoDB 2.2 introduced a new aggregation FRAMEWORK, MODELED on the concept of DATA processing pipelines.

110.

Point out the wrong statement.(a) MongoDB also provides map-reduce operations to perform aggregation(b) The pipeline provides efficient data aggregation using native operations within MongoDB(c) Map-reduce can specify a query condition to select the input documents as well as sort and limit the results(d) None of the mentionedI had been asked this question by my school principal while I was bunking the class.The query is from Aggregation in division Aggregation Concepts and Aggregation Mechanics of MongoDB

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Right CHOICE is (d) None of the mentioned

Best explanation: Aggregation is the PREFERRED method for data aggregation in MONGODB.

111.

Point out the wrong statement.(a) Map-reduce cannot have a finalize stage to make final modifications to the result(b) Map-reduce is less efficient and more complex than the aggregation pipeline(c) Specifically, a user with the userAdmin role can grant itself any privilege in the database(d) All of the mentionedThe question was asked in class test.My doubt stems from Aggregation topic in division Aggregation Concepts and Aggregation Mechanics of MongoDB

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Right answer is (a) Map-reduce cannot have a finalize stage to make final modifications to the result

Easy explanation: In GENERAL, map-reduce operations have TWO phases: a map stage that PROCESSES each document and emits ONE or more objects for each input document, and reduce phase that combines the OUTPUT of the map operation.

112.

____________ are operations that process data records and return computed results.(a) ReplicaAgg(b) SumCalculation(c) Aggregations(d) None of the mentionedI got this question in an online interview.This question is from Aggregation topic in section Aggregation Concepts and Aggregation Mechanics of MongoDB

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The CORRECT choice is (C) Aggregations

Easiest explanation: MongoDB PROVIDES a RICH set of aggregation operations that examine and PERFORM calculations on the data sets.