Grab latest MongoDB C100DEV Dumps as PDF Updated on 2024
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MongoDB C100DEV (MongoDB Certified Developer Associate) Exam is a globally recognized certification program that aims to validate the skills and expertise of developers in working with MongoDB. MongoDB Certified Developer Associate Exam certification program is designed for developers who want to demonstrate their proficiency in building applications using MongoDB. C100DEV exam covers a range of topics, including data modeling, query language, indexing, and aggregation framework.
MongoDB C100DEV Exam is an essential certification for developers who want to excel in their careers and demonstrate their expertise in MongoDB. MongoDB Certified Developer Associate Exam certification program is recognized worldwide, and developers who pass the exam can expect to have a wide range of job opportunities and career advancements. By taking the MongoDB C100DEV Exam, developers can show their commitment to their profession and their willingness to learn and grow.
NEW QUESTION # 139
Given the following example document from an artists collection: { _id: 5, last_name: 'Maurer', first_name: 'Alfred', year_born: 1868, year_died: 1932, nationality: 'USA' } and the following index: db.artists.createIndex( { "last_name": 1, "nationality": 1 } ) How MongoDB will handle the query below?
db.artists.find( { "last_name": /^B./, "nationality": 'France' } )
- A. As a collection scan.
- B. As an index scan.
- C. None of these.
Answer: B
Explanation:
https://docs.mongodb.com/manual/indexes/
NEW QUESTION # 140
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 # 141
Which of the following actions are granted to the built-in readWrite role?
- A. update
- B. remove
- C. find
- D. insert
Answer: A,B,C,D
Explanation:
https://docs.mongodb.com/manual/reference/built-in-roles/#mongodb-authrole-readWrite
NEW QUESTION # 142
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. [{ $unset: { path: "$products", } }]
- D. [{ $project: { path: "$products", } }]
Answer: A
Explanation:
https://docs.mongodb.com/manual/reference/operator/aggregation/unwind/
NEW QUESTION # 143
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 } How many documents will be returned in response to the following aggregation pipeline? [{ $group: { _id: '$category_code', number_of_companies: { $sum: 1 } }}, { $sort: { number_of_companies: -1 }}, { $limit: 3 }]
- A. 0
- B. 1
- C. 2
- D. 3
Answer: B
Explanation:
https://docs.mongodb.com/manual/reference/operator/aggregation/group/
NEW QUESTION # 144
Which of the following statements are true regarding MongoDB views?
- A. MongoDB views themselves don't contain data.
- B. MongoDB views are created on demand and reflect the data in the source collection.
- C. Views are write only.
- D. Write operations to views will raise an error.
- E. Views are read only.
Answer: A,B,D,E
Explanation:
https://docs.mongodb.com/manual/core/views/
NEW QUESTION # 145
A collection called players contains the following documents:
[ { _id: 1, user: 'Tom', scores: [ 23, 56, 3, 52, 62 ], bonus: 5 }, { _id: 2, user: 'Jane', scores: [ 42, 50, 10 ], bonus: 3 } ]
You want to add additional fields to each document:
-> total_score (sum of the scores Array) -> avg_score (average score in scores Array) -> total_score_with_bonus (total_score + bonus) Expected output: [ { _id: 1, user: 'Tom', scores: [ 23, 56, 3, 52, 62 ], bonus: 5, total_score: 196, avg_score: 39.2, total_score_with_bonus: 201 }, { _id: 2, user: 'Jane', scores: [ 42, 50, 10 ], bonus: 3, total_score: 102, avg_score: 34, total_score_with_bonus: 105 } ]
Which query do you need to use?
- A. db.players.aggregate([{ $addFields: { total_score: { $sum: '$scores' }, avg_score: { $avg: '$scores' }, total_score_with_bonus: { $add: ['$total_score', '$bonus'] } } }])
- B. db.players.aggregate([{ $addFields: { total_score: { $sum: '$scores' }, avg_score: { $avg: '$scores' } } }, { $addFields: { total_score_with_bonus: { $add: ['$total_score', '$bonus'] } } }])
Answer: B
Explanation:
https://docs.mongodb.com/manual/reference/method/db.collection.aggregate/ https://docs.mongodb.com/manual/reference/operator/aggregation/addFields/
NEW QUESTION # 146
We have the following schema for a movies collection: { _id: ObjectId, title: String, genres: Array, languages: Array, year: 32-bit integer } And the following index on the movies collection: { title: 1 } Which of the following queries will use the given index to perform the sorting stage?
- A. db.movies.find( { genres: "Drama" } ).sort( { title: 1 } )
- B. db.movies.find( {} ).sort( { title: 1 } )
- C. db.movies.find( { genres: "Drama" } ).sort( { year: 1 } )
- D. db.movies.find( {} ).sort( { title: -1 } )
Answer: A,B,D
Explanation:
db.movies.find( { genres: "Drama" } ).sort( { title: 1 } ) Yes, in this case the index will be used to retrieve the sorted documents and then it will filter the movies matching the genre. https://docs.mongodb.com/manual/indexes/
NEW QUESTION # 147
Suppose you are connected to mongod instance that is already running on port 27000 as admin user. You have to create a new user for an application that has the readWrite role. Use the db.createUser() command to create a user for data analysis. The requirements for this user are: -> role: read on esmartdata database -> username: dataScientist -> password: ds123sci456 Which command should you use?
- A. db.createUser({ user: 'dataScientist', pwd: 'ds123sci456', roles: [{role: 'r', db: 'esmartdata'}] })
- B. db.createUser({ user: 'dataScientist', pwd: 'ds123sci456', roles: [{role: 'write', db: 'esmartdata'}] })
- C. db.createUser({ user: 'dataScientist', pwd: 'ds123sci456', roles: [{role: 'read', db: 'esmartdata'}] })
- D. db.createUser({ user: 'dataScientist', pwd: 'ds123sci456', roles: [{role: 'read', db: ''}] })
Answer: C
Explanation:
https://docs.mongodb.com/manual/reference/method/db.createUser/
NEW QUESTION # 148
Suppose you insert the following documents into companies collection: db.companies.insertMany([ {"_id": 1, "name": "Facebook"}, {"_id": 1, "name": "Twitter"}, {"_id": 2, "name": "Tesla"}, {"_id": 3, "name": "Amazon"} ], {"ordered": false}) Select all true statements about this operation. (select 3)
- A. MongoDB will insert each document with a unique _id value into the collection.
- B. Two documents will be inserted into the collection.
- C. One document will be inserted into the collection.
- D. Three documents will be inserted into the collection.
- E. This insert is unordered.
Answer: A,D,E
Explanation:
https://docs.mongodb.com/manual/reference/method/db.collection.insertMany/
NEW QUESTION # 149
Can you perform the following operation?
db.users.insertOne({})
- A. No, it will throw an error.
- B. Yes, it will only insert a document with an _id field (auto-generated).
- C. Yes, it will only insert a document without any fields.
Answer: B
NEW QUESTION # 150
How can we present the basic syntax for aggregation in MongoDB?
- A. db.myCollection.aggregate([ { stage1 }, { stage2 }, ..., { stageN } ], { options } )
- B. db.myCollection.aggregate([ { options } { stage1 }, { stage2 }, ..., { stageN } ])
- C. db.myCollection.aggregate([ { stage1 }, { stage2 }, ..., { stageN }, { options } ])
Answer: A
Explanation:
https://docs.mongodb.com/manual/aggregation/
NEW QUESTION # 151
Which collection method do you need to use to drop a specific collection?
- A. db.collection.dropIndex()
- B. db.collection.remove()
- C. db.collection.dropCollection()
- D. db.collection.drop()
Answer: D
Explanation:
https://docs.mongodb.com/manual/reference/method/db.collection.drop/
NEW QUESTION # 152
Select true statements about unique compound indexes.
- A. MongoDB doesn't support unique compound indexes.
- B. In unique compound indexes, individual keys can have duplicate values, and a particular combination of key values must be unique at the collection level.
- C. In unique compound indexes, individual keys must have unique values, and a particular combination of key values must also be unique at the collection level.
Answer: B
Explanation:
https://docs.mongodb.com/manual/core/index-compound/
NEW QUESTION # 153
Which of the following operations can be used to access the logs? (Mongo shell)
- A. Running db.adminCommand({ "getLog": "global" }) from the Mongo shell.
- B. Running db.getLogComponents() from the Mongo shell.
- C. Running db.getLog() from the Mongo shell.
Answer: A
Explanation:
https://docs.mongodb.com/manual/reference/method/db.adminCommand/
NEW QUESTION # 154
Select all true statements regarding to replication in MongoDB.
- A. In the event of failover, the nodes vote to select the new primary node.
- B. The primary node receives all new write operations, and the secondary nodes stay up to date with the primary.
- C. Replication is the primary mechanism for providing high availability in MongoDB.
Answer: A,B,C
Explanation:
https://docs.mongodb.com/manual/replication/
NEW QUESTION # 155
MongoDB can benefit from adding more RAM to your servers.
- A. No
- B. Yes
Answer: B
NEW QUESTION # 156
Data modeling. You are considering the use of nesting or references in your data model. Your data may change frequently. Which option would be more appropriate?
- A. Use of reference.
- B. Use of nesting.
Answer: A
Explanation:
https://docs.mongodb.com/manual/core/data-modeling-introduction/
NEW QUESTION # 157
Select all true statements regarding to multikey indexes.
- A. An index doesn't become multikey until a document that has an array value is inserted.
- B. Multikey indexes don't support indexes on multiple array fields on single documents.
- C. Multikey indexes allow us to index on array fields.
Answer: A,B,C
Explanation:
https://docs.mongodb.com/manual/core/index-multikey/
NEW QUESTION # 158
Select all true statements about replication in MongoDB.
- A. It's a good practice to have replicas in different geographical regions. If one region becomes unavailable due to a major failure in a data center or the network connection to it, the applications will continue to run without downtime.
- B. Replication is also used to prevent downtime in the event of a failure in a data center.
Answer: A,B
Explanation:
https://docs.mongodb.com/manual/replication/#replication
NEW QUESTION # 159
Which of the following roles provides minimal privileges needed for backing up data in MongoDB?
- A. update
- B. backup
- C. restore
Answer: B
Explanation:
https://docs.mongodb.com/manual/reference/built-in-roles/#mongodb-authrole-backup
NEW QUESTION # 160
You have the following configuration file: storage: dbPath: /var/mongodb/db net: bindIp: localhost port: 27000 security: authorization: enabled You have to update this file such that: * mongod sends logs to /var/mongodb/logs/mongod.log * mongod is forked and run as a daemon Select correct Answer.
- A. storage: dbPath: /var/mongodb/db net: bindIp: localhost port: 27000 security: authorization: enabled systemLog: destination: file path: "/var/mongodb/logs/mongod.log" processManagement: fork: true
- B. storage: dbPath: /var/mongodb/db net: bindIp: localhost port: 27000 security: authorization: enabled processManagement: fork: true
- C. storage: dbPath: /var/mongodb/db net: bindIp: localhost port: 27000 security: authorization: enabled systemLog: destination: file path: "/var/mongodb/logs/mongod.log"
Answer: A
Explanation:
https://docs.mongodb.com/manual/reference/configuration-options/
NEW QUESTION # 161
Select true statements about the naming convention of collections in MongoDB.
- A. Don't create collections that start with system.
- B. Collection names should not contain $ sign.
- C. Empty string '' cannot be a collection name.
Answer: A,B,C
NEW QUESTION # 162
Use case: e-learning platform Which of the following scenarios is the best candidate to use the Computed Pattern?
- A. A course model needs to store references to image of the course that are kept in an external location outside the database.
- B. A course model needs to store a counter representing the number of times it was purchased.
- C. Our app needs to retrieve a course and its ten most recent reviews.
- D. Our app needs to retrieve a course and information about its instructor.
Answer: B
Explanation:
https://www.mongodb.com/blog/post/building-with-patterns-the-computed-pattern
NEW QUESTION # 163
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. No
- B. Yes
Answer: B
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 # 164
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