Free MongoDB Associate-Data-Modeler Exam Questions
Absolute Free Associate-Data-Modeler Exam Practice for Comprehensive Preparation
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MongoDB Associate-Data-Modeler Exam Questions
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Provided By: MongoDB
- Exam: Associate Data Modeler
- Certification: MongoDB Certified Developer Associate
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Total Questions: 300
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Updated On: Dec 07, 2025
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Rated: 4.9 |
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Online Users: 600
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Question 1
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A developer is building a project management tool where each Project can have multiple Task entities. The tasks are frequently updated and accessed together with their parent project. What is the most efficient way to model this data relationship in MongoDB to optimize for task read and write operations?
Answer: A
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A developer is building a project management tool where each Project can have multiple Task entities. The tasks are frequently updated and accessed together with their parent project. What is the most efficient way to model this data relationship in MongoDB to optimize for task read and write operations?
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Question 2
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In designing a database schema for a MongoDB application that handles user-generated content, such as posts and comments, a data modeler is considering the most efficient way to store comments related to each post to optimize read operations, as the application experiences significantly more reads than writes. The application requires frequent retrieval of posts along with their associated comments. What pattern should the data modeler use to store comments in relation to posts, and why?
Answer: E
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In designing a database schema for a MongoDB application that handles user-generated content, such as posts and comments, a data modeler is considering the most efficient way to store comments related to each post to optimize read operations, as the application experiences significantly more reads than writes. The application requires frequent retrieval of posts along with their associated comments. What pattern should the data modeler use to store comments in relation to posts, and why?
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Question 3
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A startup is designing a new MongoDB database to store user information and their respective device data. Each user can have multiple devices, and each device can generate daily usage statistics. The startup's application needs to frequently access a user's profile and their device's latest usage statistics. Considering scalability, efficiency, and security, which data model would best suit the startup's requirements?
Answer: C
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A startup is designing a new MongoDB database to store user information and their respective device data. Each user can have multiple devices, and each device can generate daily usage statistics. The startup's application needs to frequently access a user's profile and their device's latest usage statistics. Considering scalability, efficiency, and security, which data model would best suit the startup's requirements?
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Question 4
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In a MongoDB database for an online bookstore, you're designing a data model to handle books, authors, and reviews efficiently, considering a complex scenario involving relationships and potential data skew due to varying numbers of reviews per book. Given the requirements:
Each book can have multiple authors.
Each author can write multiple books.
Books can have a large number of reviews, but most have a few or none, creating potential data skew.
The application frequently queries books with their authors and a sample of reviews to avoid performance issues due to data skew.
How should you model the relationships among books, authors, and reviews to optimize for query performance and data management?
Answer: A
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In a MongoDB database for an online bookstore, you're designing a data model to handle books, authors, and reviews efficiently, considering a complex scenario involving relationships and potential data skew due to varying numbers of reviews per book. Given the requirements:
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Question 5
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A financial trading platform stores transaction data in MongoDB, including trade details, user portfolios, and real-time market data. The platform must efficiently process and display up-to-date portfolio valuations, historical trades, and market trends. Given the critical need for low-latency responses to support real-time decision-making and historical analysis, which MongoDB schema design pattern should be prioritized to optimize the platform's most critical data access patterns?
Answer: B
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A financial trading platform stores transaction data in MongoDB, including trade details, user portfolios, and real-time market data. The platform must efficiently process and display up-to-date portfolio valuations, historical trades, and market trends. Given the critical need for low-latency responses to support real-time decision-making and historical analysis, which MongoDB schema design pattern should be prioritized to optimize the platform's most critical data access patterns?