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Download MongoDB Certified Developer Associate Exam Exam Dumps
NEW QUESTION 40
Select all true statements about the differences between mongoexport and mongodump.
- A. By default, mongodump sends output to stdout, but mongoexport writes to a file.
- B. mongoexport outputs JSON file, but mongodump outputs BSON file.
- C. mongodump can create a data file and a metadata file, but mongoexport just creates a data file.
- D. mongoexport outputs BSON file, but mongodump outputs JSON file.
- E. mongodump is typically faster than mongoexport
Answer: B,C,E
Explanation:
https://docs.mongodb.com/database-tools/mongoexport/ https://docs.mongodb.com/database-tools/mongodump/
NEW QUESTION 41
There are some special databases in MongoDB that we cannot use to create a new database. Select those names.
- A. apps
- B. users
- C. admin
- D. local
- E. config
Answer: C,D,E
Explanation:
https://docs.mongodb.com/manual/reference/local-database/ https://docs.mongodb.com/manual/tutorial/manage-users-and-roles/ https://docs.mongodb.com/manual/reference/config-database/
NEW QUESTION 42
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 use Aggregation Framework to fetch all movies from this collection where 'Drama' is not in genres list and the minimum 'imdb.votes' is at least 100. Additionally, in the projection stage, we want to leave only the following fields: -> title -> genres -> imdb.votes We also want to sort the result set by decreasing imdb votes and limit the number of documents retuned to 5. Example output: [ { imdb: { votes: 1294646 }, genres: [ 'Action', 'Mystery', 'Sci-Fi' ], title: 'Inception' }, { imdb: { votes: 1109724 }, genres: [ 'Adventure', 'Fantasy' ], title: 'The Lord of the Rings: The Fellowship of the Ring' }, { imdb: { votes: 1081144 }, genres: [ 'Adventure', 'Fantasy' ], title: 'The Lord of the Rings: The Return of the King' }, { imdb: { votes: 1080566 }, genres: [ 'Action', 'Sci-Fi' ], title: 'The Matrix' }, { imdb: { votes: 1004805 }, genres: [ 'Action', 'Thriller' ], title: 'The Dark Knight Rises' } ] Which pipeline should you use?
- A. [{ $match: { genres: { $nin: ['Drama'] }, 'imdb.votes': { $gte: 100 } } }, { $project: { _id: 0, title: 1, genres: 1, 'imdb.votes': 1 } }, { $sort: { 'imdb.votes': -1 } }]
- B. [{ $match: { genres: { $in: ['Drama'] }, 'imdb.votes': { $gte: 100 } } }, { $project: { _id: 0, title: 1, genres: 1, 'imdb.votes': 1 } }, { $sort: { 'imdb.votes': -1 } }, { $limit: 5 }]
- C. [{ $match: { genres: { $nin: ['Drama'] }, 'imdb.votes': { $gte: 100 } } }, { $project: { _id: 0, title: 1, genres: 1, 'imdb.votes': 1 } }, { $sort: { 'imdb.votes': -1 } }, { $limit: 5 }]
Answer: C
Explanation:
https://docs.mongodb.com/manual/aggregation/
NEW QUESTION 43
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 does not include 'Romance'. Which query should we use?
- A. db.movies.find( { genres: { $and: ['Romance'] } } )
- B. db.movies.find( { genres: { $or: ['Romance'] } } )
- C. db.movies.find( { genres: { $in: ['Romance'] } } )
- D. db.movies.find( { genres: { $nin: ['Romance'] } } )
Answer: D
Explanation:
https://docs.mongodb.com/manual/reference/operator/query/nin/
NEW QUESTION 44
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