C100DEV 試験問題を無料オンラインアクセス

In your database there is a collection named companies with the following document structure: { name: 'Wize', relationships: [ { is_past: false, title: 'Head of Product', person: { first_name: 'Ethan', last_name: 'Smith', permalink: 'ethan-smith' } }, { is_past: true, title: 'Director, Business Development', person: { first_name: 'Stephanie', last_name: 'Quay', permalink: 'stephanie-quay' } }, { is_past: true, title: 'Sr. Engineer', person: { first_name: 'Stefan', last_name: 'Antonowicz', permalink: 'stefan-antonowicz' } } ] } Which of the following queries should you use to extract all companies that have "Co-Founder" title in relationships field (Array)?

• A.db.companies.find( { relationships: { $eq: { title: 'Co-Founder' } } } )
• B.db.companies.find( { relationships: { $elemMatch: { title: 'Co-Founder' } } } )
• C.db.companies.find( { relationships: { $match: { title: 'Co-Founder' } } } )

Select all true statements about chunks in MongoDB.

• A.Documents in the same chunk may store on different shards
• B.Chunk ranges have an inclusive minimum and an exclusive maximum.
• C.The cluster may split chunks once they become too big.

Given a movies collection where each document has the following structure: { _id: ObjectId('573a1390f29313caabcd60e4'), genres: [ 'Short', 'Comedy', 'Drama' ], title: 'The Immigrant', year: 1917, imdb: { rating: 7.8, votes: 4680, id: 8133 }, countries: [ 'USA' ] } Which of the following queries will find all movies that were made in 2000 or 2010?

• A.db.movies.find( { $or: [ { year: 2000 }, { year: 2010 } ] } )
• B.db.movies.find( { $in: [ { year: 2000 }, { year: 2010 } ] } )
• C.db.movies.find( { $and: [ { year: 2000 }, { year: 2010 } ] } )
• D.db.movies.find( { year: 2000, year: 2010 } )

Suppose you have a developers collection with only two documents:
{ _id: 1, lname: 'Smith', tech_stack: [ 'sql', 'git', 'python', 'django' ], fname: 'Bob' }, { _id: 2, fname: 'Michael', lname: 'Doe', tech_stack: [ 'git', 'python', 'sqlite', 'linux', 'flask' ] }
Using Aggregation Framework you run the following stage:
{ $unwind: { path: '$tech_stack' } }
How many documents will you have in the pipeline after the $unwind stage?

• A.9
• B.5
• C.4
• D.7
• E.2

Select all true statements about $lookup and $graphLookup operators.

• A.$graphLookup stage provides graph-like capabilities.
• B.$graphLookup stage cannot be used without $lookup stage.
• C.$lookup stage performs a recursive search on a collection, with options for restricting the search by recursion depth and query filter.