Pass MongoDB C100DEV Exam with Guarantee Updated 253 Questions
Latest C100DEV Pass Guaranteed Exam Dumps Certification Sample Questions
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NEW QUESTION # 28
Which collection method do you need to use to drop a specific collection?
- A. db.collection.dropIndex()
- B. db.collection.dropCollection()
- C. db.collection.remove()
- D. db.collection.drop()
Answer: D
Explanation:
https://docs.mongodb.com/manual/reference/method/db.collection.drop/
NEW QUESTION # 29
Which of the following scenarios is best suited for applying the Attribute Pattern?
- A. The documents in the collection are quite large.
- B. Some fields share a similar characteristics, and you want to search across those fields.
- C. You need to apply document validation before inserting/modifying.
Answer: B
Explanation:
https://www.mongodb.com/blog/post/building-with-patterns-the-attribute-pattern
NEW QUESTION # 30
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 have the following index: { "cuisine": 1, "borough": 1 } What will the query plan look like for the following query?
db.restaurants.find( { "cuisine": "American", "borough": { "$gt": "S" } } )
- A. IXSCAN -> FETCH -> SORT
- B. SORT -> IXSCAN -> FETCH
- C. FETCH -> SORT
- D. COLLSCAN -> SORT
Answer: A
Explanation:
https://docs.mongodb.com/manual/indexes/
NEW QUESTION # 31
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 # 32
In your database there is a collection named sales with the following document structure: { _id: ObjectId("5bd761dcae323e45a93ccfe8"), saleDate: ISODate("2015-03-23T21:06:49.506Z"), items: [ { name: 'printer paper', tags: [ 'office', 'stationary' ], price: Decimal128("40.01"), quantity: 2 }, { name: 'notepad', tags: [ 'office', 'writing', 'school' ], price: Decimal128("35.29"), quantity: 2 }, { name: 'pens', tags: [ 'writing', 'school', 'stationary' ], price: Decimal128("56.12"), quantity: 5 } ], storeLocation: 'Denver', customer: { gender: 'M', age: 42, email: '[email protected]', satisfaction: 4 }, purchaseMethod: 'Online' } { _id: ObjectId("5bd761dcae323e45a93ccfe9"), saleDate: ISODate("2015-08-25T10:01:02.918Z"), items: [ { name: 'binder', tags: [ 'school', 'general', 'organization' ], price: Decimal128("28.31"), quantity: 9 }, { name: 'backpack', tags: [ 'school', 'travel', 'kids' ], price: Decimal128("83.28"), quantity: 2 } ], storeLocation: 'Seattle', customer: { gender: 'M', age: 50, email: '[email protected]', satisfaction: 5 }, couponUsed: false, purchaseMethod: 'Phone' } How can you extract all documents from this collection where the first tag in the tags field (Array) is 'office' in at least one item?
- A. db.sales.find( { 'items.tags$0': 'office' } )
- B. db.sales.find( { 'items.tags.0': 'office' } )
- C. db.sales.find( { 'items.tags.[0]': 'office' } )
Answer: B
Explanation:
https://docs.mongodb.com/manual/tutorial/query-embedded-documents/
NEW QUESTION # 33
We have the following index in a movies collection: { title: 1, genres: 1 } We want to insert the following document: { "title": "The Immigrant", "year": 1917, "genres": [ "Short", "Comedy", "Drama" ] } How many index entries will be created?
- A. 0
- B. 1
- C. 2
- D. 3
- E. 4
Answer: B
Explanation:
https://docs.mongodb.com/manual/indexes/
NEW QUESTION # 34
Select all true statements regarding to the insert operation.
- A. If you insert document with a _id field value that already exists, an error will be raised.
- B. MongoDB will automatically add an _id field when inserting document without specified _id field into a collection.
- C. If you insert a document with no _id value specified, it will result in a write error.
Answer: A,B
Explanation:
https://docs.mongodb.com/manual/reference/method/db.collection.insert/
NEW QUESTION # 35
Given the following MongoDB URI: mongodb+srv://datascientist34:[email protected]/admin Which of the following statements are true? (select 2)
- A. The password used for authentication is xtr-178
- B. The user datascientist34 is trying to authenticate on database admin.
- C. The password used for authentication is ta33w9rd
- D. There are 178 nodes in the xtr replica set.
Answer: B,C
Explanation:
Explanation: https://docs.mongodb.com/manual/reference/connection-string/
NEW QUESTION # 36
You have a developers collection with the following document structure: { _id: 1, fname: 'John', lname: 'Smith', tech_stack: ['sql', 'git', 'python', 'linux', 'django', 'aws'] }, { _id: 2, fname: 'Michael', lname: 'Doe', tech_stack: [ 'git', 'python', 'sqlite', 'linux', 'flask' ] } Which of the following queries will return only the first three elements of the array in the tech_stack field?
- A. db.developers.find( {}, { tech_stack: [0, 1, 2] } )
- B. db.developers.find( { tech_stack: { $slice: [0, 3] } } )
- C. db.developers.find( {}, { tech_stack: { $slice: [0, 3] } } )
- D. db.developers.find( {}, { tech_stack: [0, 3] } )
Answer: C
Explanation:
https://docs.mongodb.com/manual/reference/operator/update/slice/
NEW QUESTION # 37
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 } } We need to use Aggregation Framework to fetch all movies from this collection where 'Drama' is not in genres list and the minimum 'imdb.votes' is at least 100. Additionally, in the projection stage, we want to leave only the following fields: -> title -> genres -> imdb.votes We also want to sort the result set by decreasing imdb votes and limit the number of documents retuned to 5. Example output: [ { imdb: { votes: 1294646 }, genres: [ 'Action', 'Mystery', 'Sci-Fi' ], title: 'Inception' }, { imdb: { votes: 1109724 }, genres: [ 'Adventure', 'Fantasy' ], title: 'The Lord of the Rings: The Fellowship of the Ring' }, { imdb: { votes: 1081144 }, genres: [ 'Adventure', 'Fantasy' ], title: 'The Lord of the Rings: The Return of the King' }, { imdb: { votes: 1080566 }, genres: [ 'Action', 'Sci-Fi' ], title: 'The Matrix' }, { imdb: { votes: 1004805 }, genres: [ 'Action', 'Thriller' ], title: 'The Dark Knight Rises' } ] Which pipeline should you use?
- A. [{ $match: { genres: { $in: ['Drama'] }, 'imdb.votes': { $gte: 100 } } }, { $project: { _id: 0, title: 1, genres: 1, 'imdb.votes': 1 } }, { $sort: { 'imdb.votes': -1 } }, { $limit: 5 }]
- B. [{ $match: { genres: { $nin: ['Drama'] }, 'imdb.votes': { $gte: 100 } } }, { $project: { _id: 0, title: 1, genres: 1, 'imdb.votes': 1 } }, { $sort: { 'imdb.votes': -1 } }]
- C. [{ $match: { genres: { $nin: ['Drama'] }, 'imdb.votes': { $gte: 100 } } }, { $project: { _id: 0, title: 1, genres: 1, 'imdb.votes': 1 } }, { $sort: { 'imdb.votes': -1 } }, { $limit: 5 }]
Answer: C
Explanation:
https://docs.mongodb.com/manual/aggregation/
NEW QUESTION # 38
Select all true statements regarding to indexes.
- A. Indexes can improve write, update, and delete performance.
- B. Indexes reduce the number of documents that MongoDB must parse to satisfy a query.
- C. The _id field is not automatically indexed in collection.
- D. Indexes are used to increase the speed of our queries.
Answer: B,D
Explanation:
https://docs.mongodb.com/manual/indexes/
NEW QUESTION # 39
Select all true statements regarding to transactions in MongoDB.
- A. The collections used in a transaction can be in different databases.
- B. We cannot read/write to collections in the config, admin, or local databases.
- C. Transactions are associated with a session.
Answer: A,B,C
Explanation:
https://docs.mongodb.com/manual/core/transactions/
NEW QUESTION # 40
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 # 41
Data modeling. You are considering the use of nesting or the references in your data model. Data read operations must be fast. Which option would be more appropriate?
- A. Use of nesting.
- B. Use of reference.
Answer: A
Explanation:
https://docs.mongodb.com/manual/core/data-modeling-introduction/
NEW QUESTION # 42
Which of the following scenarios best suits the use of the Tree Pattern?
- A. Product categories in the online store.
- B. You want to store additional information about your products that are less used by your application.
Answer: A
Explanation:
https://www.mongodb.com/blog/post/building-with-patterns-the-tree-pattern
NEW QUESTION # 43
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