Free MongoDB C100DEV Exam Questions
Absolute Free C100DEV Exam Practice for Comprehensive Preparation
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MongoDB C100DEV Exam Questions
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Provided By: MongoDB
- Exam: MongoDB Certified Developer Associate
- Certification: MongoDB Certified Developer Associate
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Total Questions: 411
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Updated On: May 22, 2026
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Rated: 4.9 |
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Online Users: 822
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Question 1
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You are designing a MongoDB schema for an e-commerce platform. The system has three collections: Products, Categories, and Reviews.Products Collection: Contains information about each product, including its name, price, and categoryId referencing the Categories collection.Categories Collection: Contains the category name and description.Reviews Collection: Contains user reviews for products, including the productId referencing the Products collection, userId, rating, and reviewText.Which of the following is the best approach to model the relationships between Products, Categories, and Reviews in MongoDB?
Answer: A
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You are designing a MongoDB schema for an e-commerce platform. The system has three collections: Products, Categories, and Reviews.Products Collection: Contains information about each product, including its name, price, and categoryId referencing the Categories collection.Categories Collection: Contains the category name and description.Reviews Collection: Contains user reviews for products, including the productId referencing the Products collection, userId, rating, and reviewText.Which of the following is the best approach to model the relationships between Products, Categories, and Reviews in MongoDB?
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Question 2
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You are designing a MongoDB collection to store information about books in a library. Each book document should contain the following fields:title: The title of the book (string).authors: An array of author names (array of strings).published_date: The publication date of the book (ISODate).categories: An array of categories or genres the book belongs to (array of strings).copies: An array containing details about each copy of the book, where each copy has an availability_status (string), location (string), and borrowed_date (ISODate) if the book is currently borrowed.Given this requirement, which of the following schemas correctly represents the document model for this use case? (Select two)
Answer: A,E
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You are designing a MongoDB collection to store information about books in a library. Each book document should contain the following fields:title: The title of the book (string).authors: An array of author names (array of strings).published_date: The publication date of the book (ISODate).categories: An array of categories or genres the book belongs to (array of strings).copies: An array containing details about each copy of the book, where each copy has an availability_status (string), location (string), and borrowed_date (ISODate) if the book is currently borrowed.Given this requirement, which of the following schemas correctly represents the document model for this use case? (Select two)
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Question 3
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We have the following indexes:{ name: 1, founded_year: 1 }{ tag_list: 1, is_active: 1 }And the following documents:{_id: ObjectId("52cdef7c4bab8bd675297daa"),name: "Sparter",founded_year: 2007,tag_list: ["gaming", "game", "wow"],is_active: true},{_id: ObjectId("52cdef7c4bab8bd675297da3"),name: "Yahoo!",founded_year: 1994,tag_list: ["search", "webmail"],is_active: true}Select the true statement.
Answer: B
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Question 4
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Which of the following stages do you need to use to randomly select 10 documents from a specific collection?
Answer: D
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Which of the following stages do you need to use to randomly select 10 documents from a specific collection?
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Question 5
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A MongoDB collection named logs is used to store event data for a web application. The collection originally had indexes on the timestamp, user_id, and event_type fields to facilitate fast queries on these fields. Due to a recent data archiving strategy, you decide to remove the index on event_type to save storage space. However, after doing so, some queries on the logs collection have slowed down considerably, especially those filtering by event_type. What is the most likely ramification of deleting the index on the event_type field?
Answer: D
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A MongoDB collection named logs is used to store event data for a web application. The collection originally had indexes on the timestamp, user_id, and event_type fields to facilitate fast queries on these fields. Due to a recent data archiving strategy, you decide to remove the index on event_type to save storage space. However, after doing so, some queries on the logs collection have slowed down considerably, especially those filtering by event_type. What is the most likely ramification of deleting the index on the event_type field?