Free MongoDB Associate-Data-Modeler Exam Questions
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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: Mar 25, 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 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?
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Question 2
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In designing a catalog application, a developer is dealing with Product entities that have multiple Review entities. The application frequently displays products along with the top three reviews based on ratings. How should the developer model this data to optimize for performance?
Answer: B
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In designing a catalog application, a developer is dealing with Product entities that have multiple Review entities. The application frequently displays products along with the top three reviews based on ratings. How should the developer model this data to optimize for performance?
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Question 3
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A MongoDB data modeler is designing a schema for a content management system (CMS) that stores articles, each with multiple tags and categories. The CMS will feature frequent searches by tags and categories, with more read operations than writes. The schema must optimize for query performance and scalability. What schema design pattern is most appropriate for this use case?
Answer: D
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A MongoDB data modeler is designing a schema for a content management system (CMS) that stores articles, each with multiple tags and categories. The CMS will feature frequent searches by tags and categories, with more read operations than writes. The schema must optimize for query performance and scalability. What schema design pattern is most appropriate for this use case?
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Question 4
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In the design of a MongoDB database for an application that manages user profiles with varying degrees of completeness and privacy settings, what are the positives and negatives of relying on in-app enforcement versus schema validation to ensure data integrity and compliance with business requirements?
Answer: C
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In the design of a MongoDB database for an application that manages user profiles with varying degrees of completeness and privacy settings, what are the positives and negatives of relying on in-app enforcement versus schema validation to ensure data integrity and compliance with business requirements?
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Question 5
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A MongoDB data modeler is optimizing the performance of an application that frequently executes the following query:
db.orders.find(
{ status: "shipped", deliveryDate: { $lte: new Date("2023-12-31") } }
).sort({ deliveryDate: -1 })
The explain method reveals the following key details indicating the query is not efficiently utilizing indexes:
{
"queryPlanner": {
...
"winningPlan": {
"stage": "SORT",
"sortPattern": { "deliveryDate": -1 },
...
"inputStage": {
"stage": "FETCH",
"inputStage": {
"stage": "IXSCAN",
"keyPattern": { "status": 1 },
...
}
}
}
},
"executionStats": {
"executionSuccess": true,
"nReturned": 100,
"executionTimeMillis": 120,
"totalKeysExamined": 500,
"totalDocsExamined": 500,
...
},
...
}
What action should the data modeler take to enhance the performance of this query?
Answer: A
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A MongoDB data modeler is optimizing the performance of an application that frequently executes the following query: