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NEW QUESTION 30
Which of the following commands can you use to exports data in BSON format from a MongoDB cluster?

• A. mongoimport
• B. mongodump
• C. mongoexport
• D. mongostore

Answer: B

Explanation:
https://docs.mongodb.com/database-tools/mongodump/

NEW QUESTION 31
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: { $nin: ['Romance'] } } )
• B. db.movies.find( { genres: { $and: ['Romance'] } } )
• C. db.movies.find( { genres: { $in: ['Romance'] } } )
• D. db.movies.find( { genres: { $or: ['Romance'] } } )

Answer: A

Explanation:
https://docs.mongodb.com/manual/reference/operator/query/nin/

NEW QUESTION 32
What does IOPS stand for in database terminology?

• A. Internet Official Protocol Standards
• B. Input/Output per Second

Answer: B

NEW QUESTION 33
Given a companies collection where each document has the following structure: { _id: ObjectId("52cdef7c4bab8bd675297efd"), name: 'ZoomInfo', homepage_url: 'http://www.zoominfo.com', blog_url: 'http://zoominfoblogger.wordpress.com/', twitter_username: 'ZoomInfo', founded_year: 2000, email_address: '' } Extract all companies from this collection that have the same Twitter username as the company name. Which query should you use?

• A. db.companies.find( { $expr: { $eq: ['$name', '$twitter_username'] } } )
• B. db.companies.find( { $expr: { $eq: ['$name', 'twitter_username'] } } )
• C. db.companies.find( { $expr: { $ne: ['$name', '$twitter_username'] } } )
• D. db.companies.find( { $expr: { $eq: ['name', 'twitter_username'] } } )

Answer: A

Explanation:
db.companies.find( { $expr: { $eq: ['$name', 'twitter_username'] } } ) You have to use $ sign to evaluate twitter_username field. db.companies.find( { $expr: { $eq: ['name', 'twitter_username'] } } ) You have to use $ sign to evaluate name and twitter_username fields. https://docs.mongodb.com/manual/reference/operator/query/expr/

NEW QUESTION 34
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': '2d'})
• B. db.shipwrecks.createIndex({'coordinates': '1'})
• C. db.shipwrecks.createIndex({'coordinates': 'text'})
• D. db.shipwrecks.createIndex({'coordinates': '2dsphere'})

Answer: D

Explanation:
https://docs.mongodb.com/manual/core/2dsphere/

NEW QUESTION 35
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