MongoDB Certified Developer Associate - C100DEV Exam Practice Test

A. MongoDB can store duplicate documents in the same collection (with the same _id value).

B. MongoDB can store duplicate documents in the same collection, as long as their _id values are different.

A. 0

B. 2

C. 4

D. 3

E. 1

A. { _id: ObjectId("61af47c6e29861661d063715"), account_id: 4336, type: 'derivatives', limit: 100000 }

B. { _id: ObjectId("61af47c6e29861661d067825"), account_id: 7355, type: 'commodity', limit: 500000 }

C. { _id: ObjectId("61b1bde1ceb6f770f56b0cd9"), account_id: 4915, type: 'investment', limit: 1000000 }

D. { _id: ObjectId("61af47c6e29861661d063714"), account_id: 1010, type: 'investment', limit: 1000000 }

A. db.movies.find( { genres: { $all: ["Crime", "Mystery"] } } )

B. db.movies.find( { genres: { $nin: ["Crime", "Mystery"] } } )

C. db.movies.find( { genres: { $in: ["Crime", "Mystery"] } } )

D. db.movies.find( { genres: { $any: ["Crime", "Mystery"] } } )

A. db.sales.find( { items: { $match: { name: 'printer paper' } } } )

B. db.sales.find( { items: { elemMatch: { name: 'printer paper' } } } )

C. db.sales.find( { items: { $elemMatch: { name: 'printer paper' } } } )

A. more useful an index created on this field will be.

B. less useful an index created on this field will be.

A. db.collection.dropIndex()

B. db.collection.dropCollection()

C. db.collection.remove()

D. db.collection.drop()

A. Special data type in MongoDB to store geospatial data.

B. It is a GUI for MongoDB.

C. A map-based chart type that is available with MongoDB Charts.

A. Write operations

B. Aggregation

C. Read operations

A. [{ $group: { _id: "$cuisine", total_restaurants: { $sum: 1 } } }, { $sort: { total_restaurants: -1 } }, { $limit: 5 }]

B. [{ $group: { _id: "$cuisine", total_restaurants: { $sum: 1 } } }, { $sort: { total_restaurants: 1 } }, { $limit: 5 }]

C. [{ $group: { _id: "cuisine", total_restaurants: { $sum: 1 } } }, { $sort: { total_restaurants: -1 } }, { $limit: 5 }]

D. [{ $group: { _id: "$cuisine", total_restaurants: { $sum: 1 } } }, { $limit: 5 }, { $sort: { total_restaurants: -1 } }]

A. db.movies.find( { "genres": { "$in" : ["Crime"] } } )

B. db.movies.find( { "genres": "Crime" } )

C. db.movies.find( { "genres": { "$nin" : ["Crime"] } } )

A. age (medium cardinality)

B. email (high cardinality)

C. gender (low cardinality)

A. No

B. Yes