Free MongoDB Associate-Data-Modeler Exam Questions
Absolute Free Associate-Data-Modeler Exam Practice for Comprehensive Preparation
-
MongoDB Associate-Data-Modeler Exam Questions
-
Provided By: MongoDB
- Exam: Associate Data Modeler
- Certification: MongoDB Certified Developer Associate
-
Total Questions: 300
-
Updated On: Jan 10, 2025
-
Rated: 4.9 |
-
Online Users: 600
-
Question 1
-
A developer is building a project management tool where each Project can have multiple Task entities. The tasks are frequently updated and accessed together with their parent project. What is the most efficient way to model this data relationship in MongoDB to optimize for task read and write operations?
Answer: A
-
A developer is building a project management tool where each Project can have multiple Task entities. The tasks are frequently updated and accessed together with their parent project. What is the most efficient way to model this data relationship in MongoDB to optimize for task read and write operations?
-
Question 2
-
In the process of optimizing a MongoDB schema for a social media application that features user profiles, posts, and interactions (likes, comments), a data modeler is evaluating the use of embedded documents versus referencing. Considering the application experiences frequent reads and writes on user interactions, and the volume of interactions is high: What is the primary advantage of embedding user interactions directly within user documents instead of referencing them in separate collections?
Answer: B
-
In the process of optimizing a MongoDB schema for a social media application that features user profiles, posts, and interactions (likes, comments), a data modeler is evaluating the use of embedded documents versus referencing. Considering the application experiences frequent reads and writes on user interactions, and the volume of interactions is high: What is the primary advantage of embedding user interactions directly within user documents instead of referencing them in separate collections?
-
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?
Answer: B
-
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?
-
Question 4
-
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
-
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?
-
Question 5
-
In the context of a MongoDB database application for an online news platform, the data modeler is tasked with optimizing the storage and retrieval of news articles that are frequently accessed by readers. The articles undergo occasional updates by the editorial team and include metadata such as publication date, author, and a set of tags. The application has a high read-to-write ratio, with the need for efficient retrieval of articles based on tags and publication dates. What data modeling strategy should be adopted to maximize query performance for retrieving articles based on metadata?
Answer: C
-
In the context of a MongoDB database application for an online news platform, the data modeler is tasked with optimizing the storage and retrieval of news articles that are frequently accessed by readers. The articles undergo occasional updates by the editorial team and include metadata such as publication date, author, and a set of tags. The application has a high read-to-write ratio, with the need for efficient retrieval of articles based on tags and publication dates. What data modeling strategy should be adopted to maximize query performance for retrieving articles based on metadata?