C100DEV試験無料問題集「MongoDB Certified Developer Associate 認定」

Which of the following actions are granted to the built-in read role?

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What command can you use to create a capped collection named latest_news that will be limited to 3 documents and 10,000 bytes?

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Select all true statements about replication in MongoDB.

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Select all true statements about the differences between mongoexport and mongodump.

正解:B,C,D 解答を投票する
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How to connect to mongod instance and authenticate as root?

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Select all true statements regarding to transactions in MongoDB.

正解:A,B,C 解答を投票する
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We can use REGEX in our queries in MongoDB - JavaScript regular expression syntax.

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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?

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Select all true statements about query plans in MongoDB. (select 2)

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You have the following replica set configuration: conf = { "_id": "replset", "version": 1, "protocolVersion": 1, "members": [ { "_id": 0, "host": "192.168.120.24:27017", "priority": 2, "votes": 1 }, { "_id": 1, "host": "192.168.120.24:27018", "priority": 1, "votes": 1 }, { "_id": 2, "host": "192.168.120.24:27018", "priority": 1, "votes": 1 } ] } Select all true statements about this configuration.

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We have a restaurants collection with the following document structure: { _id: ObjectId("5eb3d668b31de5d588f42a7d"), address: { building: '605', coord: [ -74.0060152, 40.7372653 ], street: 'Hudson Street', zipcode: '10014' }, cuisine: 'French', grades: [ { date: ISODate("2014-06-30T00:00:00.000Z"), grade: 'A', score: 10 }, { date: ISODate("2013-05-20T00:00:00.000Z"), grade: 'A', score: 13 }, { date: ISODate("2012-12-11T00:00:00.000Z"), grade: 'A', score: 9 } ], name: 'La Ripaille Restaurant' } We need to use Aggregation Framework to calculate the total number of restaurants for top 5 cuisine (sorted in descending order by the number of restaurants). Expected output: [ { _id: 'American', total_restaurants: 6183 }, { _id: 'Chinese', total_restaurants: 2418 }, { _id: 'Cafao/Coffee/Tea', total_restaurants: 1214 }, { _id: 'Pizza', total_restaurants: 1163 }, { _id: 'Italian', total_restaurants: 1069 } ] Which pipeline should you use?

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Given a movies collection where each document has the following structure: { _id: ObjectId('573a1390f29313caabcd60e4'), genres: [ 'Short', 'Comedy', 'Drama' ], title: 'The Immigrant', year: 1917, imdb: { rating: 7.8, votes: 4680, id: 8133 }, countries: [ 'USA' ] } Which of the following queries will find all the movies that have more votes than the year in which they were released?

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