Consider that our posts collection contains an array field called tags that contains tags that the user enters. {

Which of the following commands will find all the posts that have been tagged as tutorial.

• A.db.posts.find( { $array : {tags: "tutorial") > );
• B.db.posts.findInArray( { tags : "tutorial" > );
• C.db.posts.find( { tags : ["tutorial"] } );
• D.db.posts.find( { tags : "tutorial" } );

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'$set' sets the value of

• A.Code block
• B.None of the above
• C.Key
• D.Name/value pair

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Which option should be used to update all the documents with the specified condition in the MongoDB query?

• A.specify {multi : true} as the third parameter of update command
• B.specify {updateAII: true} as the third parameter of update command
• C.specify {all: true} as the third parameter of update command
• D.updateAII instead of update

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Which of the following aggregate commands in MongoDB uses a pipeline approach with the goals of improving the aggregation performance?

• A.mapReduce
• B.group
• C.aggregate
• D.All of the above

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Which option can be used with update command so that a new document gets created if no matching document is found based on the query condition?

• A.upsert command instead of update command
• B.{update: true, insert: true} as the third parameter of update command
• C.Specify {upsert : true } as the third parameter of update command
• D.This has to be handled in application code (Node.js, PHP, JAVA, C#, etc.) and cannot be handled in mongo shell query

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