Free MongoDB Associate-Data-Modeler Exam Questions

Become MongoDB Certified with updated Associate-Data-Modeler exam questions and correct answers

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Total 300 Questions | Updated On: Apr 02, 2026

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Question 1

In a MongoDB database, the events collection stores documents related to various events with fields like eventId, title, location, and date. The schema needs to be updated to support a new tags array field, which will store keywords related to each event. What is the most effective way to introduce this change, ensuring backward compatibility and minimal disruption to the existing application?

A : Create a separate collection named eventTags to store tags with references to their corresponding events by eventId, and adjust the application to aggregate data from both collections.

B : Introduce a schemaVersion field in the documents of the events collection, setting it to 2 for documents including the tags field, and modify the application to handle documents based on their schema version.

C : Add the tags field with an empty array as the default value to all existing documents in the events collection, requiring minimal application changes.

D : Migrate all documents to a new collection named events_v2, including the tags field for new documents, and update the application code to reference the new collection.

Answer: B

Question 2

In MongoDB, how should the analysis of query and analytics patterns influence the decision on indexing strategies, particularly with respect to the operational context of queries being part of a transaction?

A : Indexes should be avoided in transactional queries to reduce the complexity of transactions and improve write performance.

B : For queries within transactions, prioritize the creation of indexes on fields involved in the read operations of the transaction to minimize locking and improve concurrency.

C : Ensure that every transactional query operation utilizes a hashed index to guarantee performance efficiency across all transaction phases.

D : Use single field indexes for all fields involved in transactional queries to maximize the flexibility of query optimization.

Answer: B

Question 3

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?

A : Use a separate collection to maintain a list of product IDs and their associated top three review IDs.

B : Embed the top three Review documents within each Product document.

C : Store each Review in a separate document, linking them to their respective Product via a product ID.

D : Embed all Review documents within their respective Product document.

Answer: B

Question 4

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?

A : Schema validation ensures that all data writes adhere to the defined schema, reducing the need for additional application logic but lacks flexibility for handling complex conditional validation.

B : In-app enforcement is more performance-efficient because it avoids the overhead of database-level checks but can result in data integrity issues if the application crashes.

C : In-app enforcement allows for more complex logic and conditional validation but may lead to inconsistency if not implemented correctly across all application components.

D : Schema validation simplifies application code by offloading rules to the database but can lead to performance bottlenecks under heavy write loads.

Answer: C

Question 5

To improve the performance of queries on a logEntries collection, a MongoDB developer needs to find and analyze slow queries that have been executed. Which command should be used to identify and provide details on slow operations for analysis?

A : db.adminCommand({ "getLog": "global" })

B : db.setProfilingLevel(2, { "slowms": 100 })

C : db.logEntries.find({ "slowQuery": { $exists: true } })

D : db.logEntries.aggregate([ { $currentOp: { "slowOp": true } } ])

Answer: A

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Total 300 Questions | Updated On: Apr 02, 2026

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