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NEW QUESTION 45
Suppose you have a movies collection with the following document structure:
{ _id: ObjectId("573a1390f29313caabcd60e4"), title: 'The Immigrant', fullplot: "Charlie is on his way to the USA.
He wins in a card game, puts the money in Edna's bag (she and her sick mother have been robbed of everything).
When he retrieves a little for himself he is accused of being a thief.
Edna clears his name. Later, broke, Charlie finds a coin and goes into a restaurant." }
You want to perform text search queries on fullplot field.
What do you have to do? Just query the database. For example:

A. Just query the database. For example: db.movies.find( { $text: { $search: 'spaceship'} } ).explain()B. First, create an index: db.movies.createIndex( { fullplot: 1 } )Then query the database: db.movies.find( { $text: { $search: 'spaceship' } } )C. First, create a text index: db.movies.createIndex( { fullplot: 'text' } ) Then query the database: db.movies.find( { $text: { $search: 'spaceship' } } )

Answer: C

Explanation:
https://docs.mongodb.com/manual/text-search/ https://docs.mongodb.com/manual/core/index-text/

 

NEW QUESTION 46
You have a companies collection with the following document structure: { _id: ObjectId('52cdef7c4bab8bd675297dac'), name: 'Veoh', homepage_url: 'http://www.veoh.com', category_code: 'games_video', number_of_employees: null, founded_year: 2004, tag_list: 'veoh, video, veohtv, socialvideo, videosharing, crunchbase, inuyasha', email_address: '[email protected]', description: 'Internet TV service' } How can you use projection to extract all documents with the following fields: name, homepage_url, tag_list?

A. db.companies.find( { _id: 0, name: 1, homepage_url: 1, tag_list: 1 } )B. db.companies.find( {}, { name: 1, homepage_url: 1, tag_list: 1 } )C. db.companies.find( {}, { _id: 1, name: 1, homepage_url: 1, tag_list: 1 } )D. db.companies.find( {}, { _id: 0, name: 1, homepage_url: 1, tag_list: 1 } )

Answer: B

Explanation:
Explanation: https://docs.mongodb.com/manual/reference/method/db.collection.find/

 

NEW QUESTION 47
In your database there is a collection named trips with the following document structure: { '_id': ObjectId("572bb8222b288919b68abf6d"), 'trip_duration': 858, 'start_station id': 532, 'end_station_id': 401, 'bike_id': 17057, 'start_station_location': { type: 'Point', coordinates: [ -73.960876, 40.710451 ] }, 'end_station_location': { type: 'Point', coordinates: [ -73.98997825, 40.72019576 ] }, 'start_time': ISODate("2016-01-01T00:09:31.000Z"), 'stop_time': ISODate("2016-01-01T00:23:49.000Z") } How can you extract all trips from this collection ended at stations that are to the west of the -73.5 longitude coordinate?

A. db.trips.find( { 'coordinates': { $lt: -73.5 } } )B. db.trips.find( { 'end_station_location.coordinates.1': { $lt: -73.5 } } )C. db.trips.find( { 'end_station_location.coordinates.0': { $lt: -73.5 } } )D. db.trips.find( { 'end_station_location.coordinates.0': { $gt: -73.5 } } )

Answer: C

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

 

NEW QUESTION 48
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