C100DEV在線題庫 - MongoDB C100DEV考題資源,C100DEV考試題庫

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NEW QUESTION 39
You have the following index in a movies collection: { "title": 1, "imdb.rating": -1, "imdb.votes": -1, "type": 1 }
Can the following query use the given index for both filtering and sorting?
db.movies.find( { "title": "James Bond" } ).sort( { "imdb.rating": 1, "imdb.votes": 1 } )

  • A. No
  • B. Yes

Answer: A

Explanation:
Yes, this query matches the equality in the query predicate with the index prefix and continues the prefix in the sort predicate moving the index backwards.
https://docs.mongodb.com/manual/indexes/

 

NEW QUESTION 40
Use case: e-learning platform Which of the following scenarios is the best candidate to use the Subset Pattern?

  • A. A course model needs to store a counter representing the number of times it was purchased.
  • B. Our app needs to retrieve a course and its ten most recent reviews.
  • C. Our app needs to retrieve a course and information about its instructor.
  • D. A course model needs to store references to image of the course that are kept in an external location outside the database.

Answer: B

Explanation:
https://www.mongodb.com/blog/post/building-with-patterns-the-subset-pattern

 

NEW QUESTION 41
Suppose you want to familiarize with a new collection and want to display a single document. Which collection method should you use in this case?

  • A. db.collection.findOne()
  • B. db.collection.find()
  • C. db.collection.explain()
  • D. db.collection.getOne()

Answer: A

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

 

NEW QUESTION 42
Suppose you have a restaurants collection with the following document structure: { _id: ObjectId("5eb3d668b31de5d588f42931"), address: { building: '6409', coord: [ -74.00528899999999, 40.628886 ], street: '11 Avenue', zipcode: '11219' }, borough: 'Brooklyn', cuisine: 'American', grades: [ { date: ISODate("2014-07-18T00:00:00.000Z"), grade: 'A', score: 12 }, { date: ISODate("2013-07-30T00:00:00.000Z"), grade: 'A', score: 12 }, { date: ISODate("2013-02-13T00:00:00.000Z"), grade: 'A', score: 11 }, { date: ISODate("2012-08-16T00:00:00.000Z"), grade: 'A', score: 2 }, { date: ISODate("2011-08-17T00:00:00.000Z"), grade: 'A', score: 11 } ], name: 'Regina Caterers', restaurant_id: '40356649' } You don't have any indexes so far. What will the query plan look like for the following query?
db.restaurants.find( { "cuisine": "American" } )

  • A. IXSCAN
  • B. COLLSCAN

Answer: B

Explanation:
https://docs.mongodb.com/manual/indexes/

 

NEW QUESTION 43
......

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