Free Access MongoDB.C100DEV.v2025-04-24.q83 Practice Test (Page 11)

Question 46

Consider a many-to-many relationship observed between courses and the students enrolled in these courses. Which of the following are true about modeling this many-to-many relationship with the document model in MongoDB?

A.Embedding students in courses duplicates student information.

B.Embedding students in courses still requires a separate collection to store all students (we may have students who are not enrolled in any course).

C.The many-to-many relationship cannot be represented in MongoDB.

D.When using one collection for students and one collection for courses there is a need for an array of references in only one collection.

Question 47

Suppose you have an accounts collection in your database. Only the following documents are stored in this collection: { _id: ObjectId("61af47c6e29861661d063714"), account_id: 1010, type: 'investment', limit: 2000000 }, { _id: ObjectId("61af47c6e29861661d063715"), account_id: 4336, type: 'derivatives', limit: 100000 }, { _id: ObjectId("61af47c6e29861661d063716"), account_id: 4336, type: 'commodity', limit: 1000 }, { _id: ObjectId("61af47c6e29861661d067825"), account_id: 7355, type: 'commodity', limit: 500000 }, { _id: ObjectId("61b1bde1ceb6f770f56b0cd9"), account_id: 4915, type: 'investment', limit: 2000000 } How many documents will be returned in response to the following aggregation pipeline? [{ $group: { _id: "$type", number_of_accounts: { $sum: 1 } }}, { $match: { number_of_accounts: { $gt: 1 } }}]

A.1

B.0

C.3

D.2

Question 48

Select true statements about unique compound indexes.

A.In unique compound indexes, individual keys can have duplicate values, and a particular combination of key values must be unique at the collection level.

B.In unique compound indexes, individual keys must have unique values, and a particular combination of key values must also be unique at the collection level.

C.MongoDB doesn't support unique compound indexes.

Question 49

Assign typical operational tasks to the Mongo Developer.

A.read data

B.write data, read data

C.create user, create index

Question 50

In your database a movies collection is given where each document has the following structure: { _id: ObjectId("573a1391f29313caabcd9264"), genres: [ 'Romance', 'Drama' ], title: 'The Divorcee', languages: [ 'English', 'French' ], year: 1930, imdb: { rating: 6.9, votes: 1740, id: 20827 }, countries: [ 'USA' ] } Which of the following queries will return all movies that are in the Fantasy and Drama (both) genre?

A.db.movies.find( { genres: { $elemMatch: ['Fantasy', 'Drama'] } } )

B.db.movies.find( { genres: { $in: ['Fantasy', 'Drama'] } } )

C.db.movies.find( { genres: { $size: ['Fantasy', 'Drama'] } } )

D.db.movies.find( { genres: { $all: ['Fantasy', 'Drama'] } } )

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Question 46

Question 47

Question 48

Question 49

Question 50

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