We have the following schema for a movies collection: { _id: ObjectId, title: String, genres: Array, languages: Array, year: 32-bit integer } And the following index on the movies collection: { title: 1 } Which of the following queries will use the given index to perform the sorting stage?

• A.db.movies.find( { genres: "Drama" } ).sort( { year: 1 } )
• B.db.movies.find( {} ).sort( { title: -1 } )
• C.db.movies.find( {} ).sort( { title: 1 } )
• D.db.movies.find( { genres: "Drama" } ).sort( { title: 1 } )

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There is a collection named products in MongoDB database. Your coworker wants to know how many products are in this collection (number of documents in the collection).
Which query should you use? (select 2)

• A.db.products.find().count()
• B.db.products.total()
• C.db.products.countDocuments()

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Select all true statements regarding to Aggregation Framework.

• A.The Aggregation Framework will automatically reorder stages in a certain conditions (for optimization).
• B.The query in a $match stage can not be entirely covered by an index.

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Suppose you have a mobile_games collection with the following document structure to redesign: { game: "Fishing Clash", company: "Ten Square Games", platforms: ['Android', 'IOS'], ... release_USA: ISODate("2017-04-09T01:00:00+01:00"), release_France: ISODate("2017-04-09T01:00:00+01:00"), release_Italy: ISODate("2017-08-17T01:00:00+01:00"), ... } Which pattern solution is best suited for this situation?

• A.The Subset Pattern.
• B.There is no need to redesign the document structure.
• C.The Bucket Pattern.
• D.The Extended Reference Pattern.
• E.The Attribute Pattern.

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Given the following MongoDB URI: mongodb+srv://datascientist34:[email protected]/admin Which of the following statements are true? (select 2)

• A.There are 178 nodes in the xtr replica set.
• B.The password used for authentication is xtr-178
• C.The password used for authentication is ta33w9rd
• D.The user datascientist34 is trying to authenticate on database admin.

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