[2026] MongoDB Certified Developer Associate - C100DEV 무료 시험 문제

문제1

Which of the following methods executes a database command? (mongo shell)

A. db.ommand({ <command> })

B. db.runThisCommand({ <command> })

C. db.execute({ <command> })

D. db.runCommand({ <command> })

정답: D

설명: (Fast2test 회원만 볼 수 있음)

문제2

Suppose we have a shipwrecks collection with the following document structure: { _id: ObjectId("578f6fa2df35c7fbdbaed8ce"), feature_type: 'Wrecks - Visible', watlev: 'always dry', coordinates: [ -79.9469681, 9.3729954 ] } Your application will often query based on the coordinates field. How to create a 2dsphere geospatial index for the coordinates field?

A. db.shipwrecks.createIndex({'coordinates': '2dsphere'})

B. db.shipwrecks.createIndex({'coordinates': '2d'})

C. db.shipwrecks.createIndex({'coordinates': 'text'})

D. db.shipwrecks.createIndex({'coordinates': '1'})

정답: A

설명: (Fast2test 회원만 볼 수 있음)

문제3

How to shutdown the server? (Mongo shell)

A. use admin

B. use admin

C. use admin

D. db.shutdownServer()

E. db.shutdown()

F. db.disconnect()

정답: D

설명: (Fast2test 회원만 볼 수 있음)

문제4

Suppose you have a mobile_games collection with the following document structure:
{ 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"), ... }
You want to redesign your document structure as below:
{ game: "Fishing Clash", company: "Ten Square Games", platforms: ['Android', 'IOS'],
releases: [ { location: "USA", date: ISODate("2017-04-09T01:00:00+01:00") },
{ location: "France", date: ISODate("2017-04-09T01:00:00+01:00") },
{ location: "Italy", date: ISODate("2017-08-17T01:00:00+01:00") }, ], }
Which pattern solution will you use to solve this problem?

A. The Extended Reference Pattern.

B. The Schema Versioning Pattern.

C. The Subset Pattern.

D. The Attribute Pattern.

E. The Bucket Pattern.

정답: D

설명: (Fast2test 회원만 볼 수 있음)

문제5

How many indexes will the following command create?
db.products.createIndex( { product_name: 1, product_category: -1 } )

A. 0

B. 2

C. 3

D. 1

정답: D

설명: (Fast2test 회원만 볼 수 있음)

문제6

What data structure is used to store the newly created index in MongoDB?

A. B-tree

B. Heap

C. Graph

D. Dictionary

E. Binary Tree

정답: A

설명: (Fast2test 회원만 볼 수 있음)

문제7

Suppose you have a reviews collection in your database and you want to optimize the following query: db.reviews.find( { "votes": { "$gt": 100 }, "rating": 4.5 } ).sort( { "date": 1 } ) Which index on this collection will be the most performant for the above query? Keep in mind the equality, sort, range rule.

A. { rating: 1, votes: 1, date: 1 }

B. { date: 1, votes: 1, rating: 1 }

C. { votes: 1, date: 1, rating: 1 }

D. { votes: 1, rating: 1, date: 1 }

E. { rating: 1, date: 1, votes: 1 }

F. { date: 1, rating: 1, votes: 1 }

정답: E

설명: (Fast2test 회원만 볼 수 있음)

문제8

Suppose you have a sales collection with the following document structure: { _id: ObjectId("5bd761dcae323e45a93ccfe8"), saleDate: ISODate("2015-03-23T21:06:49.506Z"), items: [ { name: 'printer paper', tags: [ 'office', 'stationary' ], price: Decimal128("40.01"), quantity: 2 } { name: 'pens', tags: [ 'writing', 'office', 'school', 'stationary' ], price: Decimal128("56.12"), quantity: 5 }, { name: 'notepad', tags: [ 'office', 'writing', 'school' ], price: Decimal128("18.47"), quantity: 2 } ], storeLocation: 'Denver', couponUsed: true, purchaseMethod: 'Online' } Which of the following queries will return all document sales with 'printer paper' sold?

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

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

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

정답: A

설명: (Fast2test 회원만 볼 수 있음)

문제9

Which of the following rules (when ordering) should be followed when building query indexes?

A. equality, range, sort

B. equality, sort, range

C. range, sort, equality

정답: B

설명: (Fast2test 회원만 볼 수 있음)

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