(2023) C100DEV Exam Dumps, Practice Test Questions BUNDLE PACK
MongoDB Certified Developer Associate Certification C100DEV Sample Questions Reliable
Who needs the MongoDB C100DEV Certification?
The MongoDB Certified Developer Associate Certification is ideal for individuals who have:
Experience working with relational databases like SQL Server or Oracle
A solid understanding of object-oriented programming concepts such as classes, inheritance, encapsulation, and polymorphism
A technical background with experience in software development or data engineering
NEW QUESTION # 29
Suppose you have a mobile_games collection with the following document structure: { game: "Fishing Clash", company: "Ten Square Games", platforms: ['Android', 'IOS'], ... release_USA: ISODate("2017-04-09T01:00:00+01:00"), release_France: ISODate("2017-04-09T01:00:00+01:00"), release_Italy: ISODate("2017-08-17T01:00:00+01:00"), ... } Are there any problems with this document structure?
- A. Yes, a search for a release date will require looking across many fields at once which is inefficient.
- B. No, everything is correct. There is no room for improvement.
Answer: A
Explanation:
https://docs.mongodb.com/manual/core/document/
NEW QUESTION # 30
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: { $text: /.*ian$/ } } )
- D. db.movies.find( { title: { $regex: /.*ian/ } } )
Answer: B
Explanation:
https://docs.mongodb.com/manual/reference/operator/query/regex/
NEW QUESTION # 31
Which of the following commands can you use to exports data in BSON format from a MongoDB cluster?
- A. mongoexport
- B. mongoimport
- C. mongodump
- D. mongostore
Answer: C
Explanation:
https://docs.mongodb.com/database-tools/mongodump/
NEW QUESTION # 32
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( { "imdb.rating": 8, "title": "James Bond" } ).sort( { "imdb.votes": -1 } )
- A. Yes
- B. No
Answer: A
Explanation:
Yes, this query can use the index prefix. The order of the fields in the query predicate does not matter. Since both "imdb.rating" and "title" are part of an index prefix, this query can use the index for an equality condition. https://docs.mongodb.com/manual/indexes/
NEW QUESTION # 33
Suppose you have a companies collection in your database. Only the following documents are stored in this collection: { _id: ObjectId("52cdef7c4bab8bd675297da4"), name: 'Powerset', category_code: 'search', founded_year: 2006 }, { _id: ObjectId("52cdef7c4bab8bd675297da5"), name: 'Technorati', category_code: 'advertising', founded_year: 2002 }, { _id: ObjectId("52cdef7c4bab8bd675297da7"), name: 'AddThis', category_code: 'advertising', founded_year: 2004 }, { _id: ObjectId("52cdef7c4bab8bd675297da8"), name: 'OpenX', category_code: 'advertising', founded_year: 2008 }, { _id: ObjectId("52cdef7c4bab8bd675297daa"), name: 'Sparter', category_code: 'games_video', founded_year: 2007 }, { _id: ObjectId("52cdef7c4bab8bd675297dac"), name: 'Veoh', category_code: 'games_video', founded_year: 2004 }, { _id: ObjectId("52cdef7c4bab8bd675297dae"), name: 'Thoof', category_code: 'web', founded_year: 2006 } What is the default sort order in the result set returned in response to the following query?
- A. descending
- B. db.companies.aggregate( [ { "$sortByCount": "$category_code" } ] )
- C. ascending
Answer: A
Explanation:
https://docs.mongodb.com/manual/reference/operator/aggregation/sortByCount/
NEW QUESTION # 34
Which of the following commands will successfully insert exactly two new documents into an empty companies collection?
- A. db.companies.insertMany([ {"_id": 1, "name": "Facebook"}, {"_id": 2, "name": "Twitter"}, {"_id": 2, "name": "Tesla"} ])
- B. db.companies.insertMany([ {"name": "Facebook"}, {"name": "Twitter"} ])
- C. db.companies.insertMany([ {"_id": 1, "name": "Facebook"}, {"_id": 2, "name": "Twitter"} ])
- D. db.companies.insertMany([ {"_id": 1, "name": "Facebook"}, {"_id": 1, "name": "Twitter"}, {"_id": 2, "name": "Tesla"} ], {"ordered": false})
- E. db.companies.insertMany([ {"_id": 1, "name": "Facebook"}, {"_id": 1, "name": "Twitter"}, {"_id": 2, "name": "Tesla"} ])
Answer: A,B,C,D
Explanation:
https://docs.mongodb.com/manual/reference/method/db.collection.insertMany/
NEW QUESTION # 35
We have an accounts collection with the following document structure:
{ _id: ObjectId("61af47c6e29861661d063714"), account_id: 1010, type: 'investment', limit: 1000000 }
And the following query:
db.accounts.find({ "$or": [ { "type": { "$in": [ "investment", "derivatives" ] } }, { "limit": { "$gt": 500000 } } ] })
Which of the documents below will be retrieved by this query?
- A. { _id: ObjectId("61af47c6e29861661d063714"), account_id: 1010, type: 'investment', limit: 1000000 }
- B. { _id: ObjectId("61af47c6e29861661d067825"), account_id: 7355, type: 'commodity', limit: 500000 }
- C. { _id: ObjectId("61af47c6e29861661d063715"), account_id: 4336, type: 'derivatives', limit: 100000 }
- D. { _id: ObjectId("61af47c6e29861661d063357"), account_id: 1752, type: 'commodity', limit: 1000 }
Answer: A,C
NEW QUESTION # 36
Select scenarios that are best suited for applying the Schema Versioning Pattern.
- A. There is a requirement to keep multiple versions of a document, and those versions can have different fields for each version in your application.
- B. Your team was assigned to update the current schema with additional fields without shutting down the system for this upgrade. However, all documents need to be quickly updated.
Answer: A,B
Explanation:
https://www.mongodb.com/blog/post/building-with-patterns-the-schema-versioning-pattern
NEW QUESTION # 37
Select all true statements about indexes on a field with values of varying data types.
- A. In MongoDB index cannot have different data types.
- B. Values are ordered only by data type.
- C. Values are ordered by data type, then by value.
- D. Values are ordered only by value.
Answer: C
Explanation:
https://docs.mongodb.com/manual/indexes/
NEW QUESTION # 38
There are some special databases in MongoDB that we cannot use to create a new database. Select those names.
- A. config
- B. users
- C. apps
- D. admin
- E. local
Answer: A,D,E
Explanation:
https://docs.mongodb.com/manual/reference/local-database/ https://docs.mongodb.com/manual/tutorial/manage-users-and-roles/ https://docs.mongodb.com/manual/reference/config-database/
NEW QUESTION # 39
In your database a movies collection is given where each document has the following structure: { _id: ObjectId("573a1391f29313caabcd9264"), genres: [ 'Romance', 'Drama' ], title: 'The Divorcee', languages: [ 'English', 'French' ], year: 1930, imdb: { rating: 6.9, votes: 1740, id: 20827 }, countries: [ 'USA' ] } Which of the following queries will return all movies that are in the Fantasy and Drama (both) genre?
- A. db.movies.find( { genres: { $in: ['Fantasy', 'Drama'] } } )
- B. db.movies.find( { genres: { $size: ['Fantasy', 'Drama'] } } )
- C. db.movies.find( { genres: { $elemMatch: ['Fantasy', 'Drama'] } } )
- D. db.movies.find( { genres: { $all: ['Fantasy', 'Drama'] } } )
Answer: D
Explanation:
https://docs.mongodb.com/manual/reference/operator/query/all/
NEW QUESTION # 40
Which of the following rules (when ordering) should be followed when building query indexes?
- A. equality, range, sort
- B. equality, sort, range
- C. range, sort, equality
Answer: B
Explanation:
https://www.mongodb.com/blog/post/performance-best-practices-indexing
NEW QUESTION # 41
Select all options when you should deploy a MongoDB deployment with security enabled.
- A. Deployment of the development environment.
- B. Deployment of the staging environment.
- C. Deployment of the evaluation environment.
- D. Deployment of the production environment.
Answer: A,B,C,D
Explanation:
https://docs.mongodb.com/manual/reference/configuration-options/#security-options
NEW QUESTION # 42
We have an accounts collection with only one document: { _id: 54657, account_id: 557378, products: [ 'InvestmentStock', 'Commodity', 'CurrencyService' ] } We need to use Aggregation Framework to unwind the products Array to obtain new documents with only one product per document (see below). Expected output: [ { _id: 54657, account_id: 557378, products: 'InvestmentStock' }, { _id: 54657, account_id: 557378, products: 'Commodity' }, { _id: 54657, account_id: 557378, products: 'CurrencyService' } ] Which pipeline should you use?
- A. [{ $unwind: { path: "$products", } }]
- B. [{ $facet: { path: "$products", } }]
- C. [{ $project: { path: "$products", } }]
- D. [{ $unset: { path: "$products", } }]
Answer: A
Explanation:
https://docs.mongodb.com/manual/reference/operator/aggregation/unwind/
NEW QUESTION # 43
Select all true statements about differences between using aggregate() and find() methods?
- A. Any find() query can be translated into an aggregation pipeline.
- B. find() allows us to compute and reshape data in the cursor.
- C. Any aggregation pipeline can be translated into a find() query.
- D. aggregate() allows us to compute and reshape data in the cursor (like $group, $min and other stages).
Answer: A,D
Explanation:
https://docs.mongodb.com/manual/reference/method/db.collection.find/ https://docs.mongodb.com/manual/reference/method/db.collection.aggregate/
NEW QUESTION # 44
You have the following index in a movies collection: { "title": 1, "imdb.rating": -1, "imdb.votes": -1, "type": 1 } Can the following query use the given index for both filtering and sorting?
db.movies.find( { "title": "James Bond", "imdb.rating": { "$gt": 8} } ).sort( { "imdb.rating": 1 } )
- A. Yes
- B. No
Answer: A
Explanation:
Yes, although this query does not use equality in the "imdb.rating" field of the index prefix, it does use the same field for sorting. https://docs.mongodb.com/manual/indexes/
NEW QUESTION # 45
......
Role of MongoDB in a Developer Associate environment
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