Free MongoDB Associate-Data-Modeler Exam Questions

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

Page: 1 / 60

Total 300 Questions | Updated On: Jan 28, 2026

Add To Cart

Question 1

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 2

A team is developing a logistics application using MongoDB to track shipments in real-time. Each shipment record updates frequently with GPS coordinates, and the system requires immediate access to the latest location data for efficient routing and delivery updates. The application also needs to maintain a compact record of each shipment's path without unnecessary data duplication. Which MongoDB feature or design pattern should be used to model the shipment tracking system?

A : The Bucket Pattern, grouping location updates by day for each shipment.

B : The Preallocation Pattern, by preallocating space for each shipment document to accommodate location updates.

C : The Document Versioning Pattern, where each update creates a new version of the shipment document.

D : A standard collection with an index on the lastUpdated field.

Answer: D

Question 3

When modeling a content management system in MongoDB, which approach best describes the handling of articles and their corresponding comments to optimize for frequent reads and occasional writes?

A : Articles and comments should be stored in separate collections, with comments embedding the full article document for efficiency.

B : Each comment should be stored in its own collection with a reference to its parent article ID.

C : Store each article in its own document within a single collection, with comments embedded as an array of subdocuments within each article.

D : A relational database management system must be used, as MongoDB cannot efficiently manage hierarchical data like articles and comments.

Answer: C

Question 4

In a MongoDB database tracking e-commerce orders, each order document includes fields for customer ID, order date, and a status that changes over time. To automatically purge orders older than two years and efficiently support queries for recent orders by customer ID, which combination of indexes would be most appropriate?

A : A compound index on customer ID and order date, and a TTL index on the status field.

B : A single-field index on the customer ID and a Time-To-Live (TTL) index on the order date.

C : A text index on the customer ID for efficient search and a TTL index on the order date.

D : A hashed index on customer ID and a TTL index on the order date.

Answer: B

Question 5

A data modeler is tasked with designing a database for a movie streaming service. The database needs to efficiently store and retrieve information about movies, including the movie's title, director, genre(s), release year, and average viewer rating. How should the data modeler structure the Movie entity?

A : Model Movie as a movie's title, director, genre(s), release year, and average viewer rating.

B : Model Movie as a movie's title, director, and genre(s).

C : Model Movie as a movie's title, director, genre(s), release year, average viewer rating, and the total number of viewers.

D : Model Movie as the movie's title only.

Answer: A

Page: 1 / 60

Total 300 Questions | Updated On: Jan 28, 2026

Add To Cart