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: Apr 02, 2026

Add To Cart

Question 1

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 2

A mobile application tracks user activities, interactions, and engagement metrics to offer personalized content and recommendations. To optimize the application's performance, particularly for generating monthly engagement reports and user insights, a data modeler is tasked with designing an efficient data storage strategy. What approach should the data modeler adopt to best meet these requirements?

A : Maintain separate collections for users, activities, and interactions, calculating engagement metrics and insights in real time upon each query.

B : Use a single collection for activities and employ on-the-fly aggregation queries for generating user engagement reports and insights whenever needed.

C : Store all user data, including activities and interactions, as embedded documents within a single user document in a single collection.

D : Utilize separate collections for Users, Activities, and EngagementMetrics. Use the computed pattern to periodically update EngagementMetrics with aggregated data.

Answer: D

Question 3

In an e-commerce application, the main entity Product includes details such as name, description, and price. Each Product can have multiple Review documents, which include ratings and customer comments. The application frequently displays products along with their reviews. How should the developer optimize the schema for read performance?

A : Embed Review documents within the Product document as an array of subdocuments.

B : Store each Review in a separate collection and use the Product ID to link to each Review.

C : Create a separate Review collection and a ProductReview join collection to manage the many-to-many relationship.

D : Store Review documents in a separate collection without storing a reference to the Product ID.

Answer: A

Question 4

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

Question 5

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

Page: 1 / 60

Total 300 Questions | Updated On: Apr 02, 2026

Add To Cart