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[General] Pass Guaranteed Quiz 2026 Reliable MongoDB C100DEV Exam Cost

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【General】 Pass Guaranteed Quiz 2026 Reliable MongoDB C100DEV Exam Cost

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MongoDB Certified Developer Associate Exam Sample Questions (Q89-Q94):NEW QUESTION # 89
What is the built-in database called local in MongoDB for?
  • A. The local database plays an important role in the authentication and authorization process. Certain actions performed by administrators also require access to this database.
  • B. The local database is used to store information about shards in shared MongoDB cluster.
  • C. The local database stores data describing the MongoDB server. For replica sets, it also stores information about the replication process.
Answer: C
Explanation:
https://docs.mongodb.com/manual/reference/local-database/

NEW QUESTION # 90
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: { $ne: ['$name', '$twitter_username'] } } )
  • C. db.companies.find( { $expr: { $eq: ['$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 # 91
Suppose you have a books collection with title field. Which of the following queries will return all books with a title ending in 'ian'?
  • A. db.movies.find( { title: { $regex: /.*ian$/ } } )
  • B. db.movies.find( { title: { $regex: /ian/ } } )
  • C. db.movies.find( { title: { $regex: /.*ian/ } } )
  • D. db.movies.find( { title: { $text: /.*ian$/ } } )
Answer: A
Explanation:
https://docs.mongodb.com/manual/reference/operator/query/regex/

NEW QUESTION # 92
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 } }, { _id: ObjectId("573a13e3f29313caabdc08a4"), genres: [ 'Horror', 'Thriller' ], title: 'Mary Loss of Soul', year: 2014, imdb: { rating: '', votes: '', id: 2904798 } } We need to use Aggregation Framework to calculate the following aggregates: -> average imdb rating -> minimum imdb rating -> maximum imdb rating Expected output: [ { _id: null, avg_rating: 6.6934040649367255, min_rating: 1.6, max_rating: 9.6 } ] Please note that some documents have "" (empty string) for the field "imdb.rating". Exclude these documents before aggregation. Which pipeline should you use?
  • A. [{ $match: { "imdb.rating": { $ne: "" } } }, { $group: { _id: null, avg_rating: { $avg: "$imdb.rating" }, min_rating: { $min: "$imdb.rating" }, max_rating: { $max: "$imdb.rating" } } }]
  • B. [{ $group: { _id: null, avg_rating: { $avg: "$imdb.rating" }, min_rating: { $min: "$imdb.rating" }, max_rating: { $max: "$imdb.rating" } } }]
  • C. [{ $match: { "imdb.rating": { $ne: "" } } }, { $group: { _id: null, avg_rating: { avg: "$imdb.rating" }, min_rating: { min: "$imdb.rating" }, max_rating: { max: "$imdb.rating" } } }]
  • D. [{ $match: { "imdb.rating": { $ne: "" } } }, { $group: { _id: null, avg_rating: { $avg: "imdb.rating" }, min_rating: { $min: "imdb.rating" }, max_rating: { $max: "imdb.rating" } } }]
Answer: A
Explanation:
https://docs.mongodb.com/manual/aggregation/

NEW QUESTION # 93
The following capped collection is given: db.createCollection('latest_news', {'capped': true, 'size': 10000, 'max': 3}) [ { _id: ObjectId("61e8007c9b3067e362440a88"), title: 'COVID records broken again as weekend brings nearly 40K new cases' }, { _id: ObjectId("61e800989b3067e362440a89"), title: 'Bitcoin, Ethereum, Dogecoin Face Fresh Round Of Regulatory Scrutiny' }, { _id: ObjectId("61e800d19b3067e362440a8a"), title: 'Where Six Meme Stock Investors Are Now' } ] What the latest_news collection will look like after the following operation?
  • A. [ { _id: ObjectId("61e8007c9b3067e362440a88"), title: 'COVID records broken again as weekend brings nearly 40K new cases' }, { _id: ObjectId("61e800989b3067e362440a89"), title: 'Bitcoin, Ethereum, Dogecoin Face Fresh Round Of Regulatory Scrutiny' }, { _id: ObjectId("61e800d19b3067e362440a8a"), title: 'Where Six Meme Stock Investors Are Now' } ]
  • B. db.latest_news.insertOne({title: 'TikTok owner ByteDance dissolves its investment arm'}) [ { _id: ObjectId("61e800989b3067e362440a89"), title: 'Bitcoin, Ethereum, Dogecoin Face Fresh Round Of Regulatory Scrutiny' }, { _id: ObjectId("61e800d19b3067e362440a8a"), title: 'Where Six Meme Stock Investors Are Now' }, { _id: ObjectId("61e801439b3067e362440a8b"), title: 'TikTok owner ByteDance dissolves its investment arm' } ]
  • C. [ { _id: ObjectId("61e8007c9b3067e362440a88"), title: 'COVID records broken again as weekend brings nearly 40K new cases' }, { _id: ObjectId("61e800989b3067e362440a89"), title: 'Bitcoin, Ethereum, Dogecoin Face Fresh Round Of Regulatory Scrutiny' }, { _id: ObjectId("61e800d19b3067e362440a8a"), title: 'Where Six Meme Stock Investors Are Now' }, { _id: ObjectId("61e801439b3067e362440a8b"), title: 'TikTok owner ByteDance dissolves its investment arm' } ]
Answer: B
Explanation:
https://docs.mongodb.com/manual/core/capped-collections/

NEW QUESTION # 94
......
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