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：

問題 #1

We can use REGEX in our queries in MongoDB - JavaScript regular expression syntax.

A. True
B. False

問題 #2

In your database there is a collection named sales 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: 'notepad', tags: [ 'office', 'writing', 'school' ], price: Decimal128("35.29"), quantity: 2 }, { name: 'pens', tags: [ 'writing', 'school', 'stationary' ], price: Decimal128("56.12"), quantity: 5 } ], storeLocation: 'Denver', customer: { gender: 'M', age: 42, email: '[email protected]', satisfaction: 4 }, purchaseMethod: 'Online' } { _id: ObjectId("5bd761dcae323e45a93ccfe9"), saleDate: ISODate("2015-08-25T10:01:02.918Z"), items: [ { name: 'binder', tags: [ 'school', 'general', 'organization' ], price: Decimal128("28.31"), quantity: 9 }, { name: 'backpack', tags: [ 'school', 'travel', 'kids' ], price: Decimal128("83.28"), quantity: 2 } ], storeLocation: 'Seattle', customer: { gender: 'M', age: 50, email: '[email protected]', satisfaction: 5 }, couponUsed: false, purchaseMethod: 'Phone' } How can you extract all documents from this collection where the first tag in the tags field (Array) is 'office' in at least one item?

A. db.sales.find( { 'items.tags.[0]': 'office' } )
B. db.sales.find( { 'items.tags.0': 'office' } )
C. db.sales.find( { 'items.tags$0': 'office' } )

問題 #3

We have a movies collection with the following document structure: { _id: ObjectId("573a1390f29313caabcd6223"), genres: [ 'Comedy', 'Drama', 'Family' ], title: 'The Poor Little Rich Girl', released: ISODate("1917-03-05T00:00:00.000Z"), year: 1917, imdb: { rating: 6.9, votes: 884, id: 8443 } } We need to extract all movies from this collection where genres includes both 'Crime' and 'Mystery'. Which query should we use?

A. db.movies.find( { genres: { $in: ["Crime", "Mystery"] } } )
B. db.movies.find( { genres: { $any: ["Crime", "Mystery"] } } )
C. db.movies.find( { genres: { $nin: ["Crime", "Mystery"] } } )
D. db.movies.find( { genres: { $all: ["Crime", "Mystery"] } } )

問題 #4

Select all default configurations for mongod.

A. By default, mongod doesn't enforce authentication.
B. The default port for mongod is 27017.
C. The default data directory for mongod is /data/db
D. By default, mongod is only bound to localhost (or 127.0.0.1).

問題 #5

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"), ... } Are there any problems with this document structure?

A. Yes, a search for a release date will require looking across many fields at once which is inefficient.
B. No, everything is correct. There is no room for improvement.

解説：