最新のC100DEV問題集で試験を準備する

MongoDB C100DEV 試験概要:

MongoDB C100DEV 試験シラバストピック:

MongoDB Certified Developer Associate 認定 C100DEV 試験問題：

1. 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': '1'})
B) db.shipwrecks.createIndex({'coordinates': '2dsphere'})
C) db.shipwrecks.createIndex({'coordinates': 'text'})
D) db.shipwrecks.createIndex({'coordinates': '2d'})

2. You have to create a simple configuration file for mongod instance. Here are the requirements of your mongod instance: * stores data files in /var/mongo/db * listens to connection from localhost * runs on port 27000 * uses authentication Which of the following configuration file meet these requirements?

A) storage:
dbPath: /var/mongodb/db
net:
bindIp: localhost
port: 27000
security:
authorization: enabled
B) net:
bindIp: localhost
port: 27000
security:
authorization: enabled
C) storage:
dbPath: /var/mongodb/db
security:
authorization: enabled
D) storage:
dbPath: /var/mongodb/db
net:
bindIp: localhost
port: 27000

3. Can you create a unique index in MongoDB?

A) No
B) Yes

4. In your database there is a movies collection with the following document structure: { _id: ObjectId("573a1390f29313caabcd42e8"), genres: [ 'Short', 'Western' ], title: 'The Great Train Robbery', rated: 'TV-G', year: 1903, imdb: { rating: 7.4, votes: 9847, id: 439 }, countries: [ 'USA' ] }, { _id: ObjectId("573a1390f29313caabcd4323"), genres: [ 'Short', 'Drama', 'Fantasy' ], rated: 'UNRATED', title: 'The Land Beyond the Sunset', year: 1912, imdb: { rating: 7.1, votes: 448, id: 488 }, countries: [ 'USA' ] } Which of the following queries will return only the title for the five oldest movies in this collection?

A) db.movies.find( {}, { title: 1, _id: 0 } ).sort( { year: 1 } ).limit(5)
B) db.movies.find( {}, { title: 1, _id: 0 } ).sort( { year: 1 } ).skip(5).limit(5)
C) db.movies.find( {}, { title: 1 } ).sort( { year: 1 } ).limit(5)
D) db.movies.find( {}, { title: 1, _id: 0 } ).sort( { year: 1 } ).skip(5)

5. Select true statements about data modeling in MongoDB.

A) It's good data modeling practice to directly map each table from the relational model (normalized data) to the collection.
B) If one of your application's main queries is to retrieve related information from different collections, it is usually better to group that information into a single document.
C) To avoid having to join data in the application layer from different collections you can denormalize your data.

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