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MongoDB Certified Developer Associate Exam Sample Questions (Q229-Q234):

NEW QUESTION # 229
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"] } } )

Answer: D Explanation:
https://docs.mongodb.com/manual/reference/operator/query/all/
NEW QUESTION # 230
You have a developers collection with the following document structure: { id: 1, fname: 'John', lname: 'Smith', techstack: ['sql', 'git', 'python', 'linux', 'django', 'aws'] }, { id: 2, fname: 'Michael', lname: 'Doe', techstack: [ 'git', 'python', 'sqlite', 'linux', 'flask' ] } Which of the following queries will return only the first three elements of the array in the tech_stack field?

• A. db.developers.find( {}, { tech_stack: [0, 3] } )
• B. db.developers.find( {}, { tech_stack: [0, 1, 2] } )
• C. db.developers.find( { tech_stack: { $slice: [0, 3] } } )
• D. db.developers.find( {}, { tech_stack: { $slice: [0, 3] } } )

Answer: D Explanation:
https://docs.mongodb.com/manual/reference/operator/update/slice/
NEW QUESTION # 231
We have the following indexes in a movies collection: { _id: 1 } { title: 1, year: 1 } Which of the following queries can be covered by one of the given indexes?

• A. db.movies.find( { genres: "Crime" }, { _id: 0, title: 1, year: 1, genres: 1 } )
• B. db.movies.find( { title: { $in: [ "Death Note", "The Immigrant" ] } }, { _id: 0, title: 1, year: 1 } )
• C. db.movies.find( { title: { $in: [ "Death Note", "The Immigrant" ] } }, { _id: 0, title: 1, year: 1, genres: 1 } )

Answer: B Explanation:
No, this query would use the { title: 1, year: 1 } index, but it is projecting the genres field. https://docs.mongodb.com/manual/core/query-optimization/#covered-query
NEW QUESTION # 232
Select all true statements about MongoDB documents.

• A. MongoDB documents have a flexible schema.
• B. MongoDB documents must have the same fields in the collection.
• C. MongoDB documents are stored as JSON documents.
• D. MongoDB documents are stored as BSON documents.

Answer: A,D Explanation:
https://docs.mongodb.com/manual/core/document/
NEW QUESTION # 233
A social media company needs to implement a data model that describes te relationships between users. When loading real data into the system, it turned out that one user has too many contacts to store them in the designated array. Instead of redesigning the entire system what pattern can you use?

• A. The Extended Reference Pattern.
• B. The Subset Pattern.
• C. The Outlier Pattern.
• D. The Attribute Pattern.
• E. The Schema Versioning Pattern.

Answer: C Explanation:
https://www.mongodb.com/blog/post/building-with-patterns-the-outlier-pattern
NEW QUESTION # 234
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