Become MongoDB Certified with updated Associate-Data-Modeler exam questions and correct answers
In a MongoDB database for an online bookstore, you're designing a data model to handle books, authors, and reviews efficiently, considering a complex scenario involving relationships and potential data skew due to varying numbers of reviews per book. Given the requirements:
Each book can have multiple authors.
Each author can write multiple books.
Books can have a large number of reviews, but most have a few or none, creating potential data skew.
The application frequently queries books with their authors and a sample of reviews to avoid performance issues due to data skew.
How should you model the relationships among books, authors, and reviews to optimize for query performance and data management?
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?
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?
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?
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?
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