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: Jan 13, 2026

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Question 1

In MongoDB schema design, what is a critical implication to consider when adding another piece of data into an array field, especially in the context of document size limitations and performance?

A : Arrays do not impact document size, allowing for unlimited data addition without performance concerns.

B : Adding elements to an array increases the risk of exceeding the BSON document size limit, potentially leading to failed updates.

C : Adding data to arrays significantly improves query performance by utilizing array-specific indexes.

D : Each addition to an array requires a complete document rewrite, which has no impact on performance or storage.

Answer: B

Question 2

When designing a MongoDB schema for an application that tracks user activities and their corresponding locations, which approach best facilitates efficient data retrieval and updates?

A : Create a multidimensional array within each user document to store activities and their corresponding locations.

B : Store user activities and location data in separate documents within a single collection, linking them with unique identifiers.

C : Normalize all data, storing user activities in one collection and locations in another, without using any form of document references.

D : Embed user location data directly within each activity document to capitalize on document locality.

Answer: D

Question 3

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 4

In designing a data model for a new online bookstore application, you are tasked with structuring the relationship between Books and Authors. Each book can have one or more authors, and each author can write multiple books. Considering the requirement for fast reads and updates of both books and their associated authors, which of the following data modeling patterns would be most optimal?

A : Embedding authors within books documents.

B : Storing all books and authors in a single document.

C : Referencing authors from books documents by storing author IDs in books.

D : Using a separate collection for each author's books.

Answer: A

Question 5

A data modeler is tasked with enhancing query efficiency for the salesRecords collection. Considering the queries:

db.salesRecords.find({"productId": 15}).sort({"saleDate": -1, "quantity": 1})

and

db.salesRecords.find({"saleDate": {"$gte": ISODate("2023-06-01")}}).sort({"productId": 1, "quantity": -1})

which indexing strategy would be most effective in improving response times for both queries?

A : Index on { quantity: 1, productId: 1, saleDate: -1 }

B : Index on { saleDate: -1, productId: 1, quantity: 1 }

C : Index on { productId: 1, saleDate: -1, quantity: 1 }

D : Index on { productId: 1, quantity: 1, saleDate: -1 }

Answer: C

Page: 1 / 60

Total 300 Questions | Updated On: Jan 13, 2026

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