Start Learning with the Latest and Real 100% Free MongoDB Associate-Data-Modeler Exam Questions
In a blogging application, the main entity Article contains text, a title, and metadata. Each article can have multiple comments made by users. The application frequently retrieves an article along with all its comments for display. How should the developer optimize the schema for read performance?
A MongoDB data modeler is optimizing the performance of an application that frequently executes the following query:db.orders.find( { status: "shipped", deliveryDate: { $lte: new Date("2023-12-31") } }).sort({ deliveryDate: -1 })The explain method reveals the following key details indicating the query is not efficiently utilizing indexes:{ "queryPlanner": { ... "winningPlan": { "stage": "SORT", "sortPattern": { "deliveryDate": -1 }, ... "inputStage": { "stage": "FETCH", "inputStage": { "stage": "IXSCAN", "keyPattern": { "status": 1 }, ... } } } }, "executionStats": { "executionSuccess": true, "nReturned": 100, "executionTimeMillis": 120, "totalKeysExamined": 500, "totalDocsExamined": 500, ... }, ...}What action should the data modeler take to enhance the performance of this query?
A database administrator is tasked with designing a MongoDB schema for a social media application that includes features for user profiles, posts, and friend connections. The application requires efficient access to a user's profile information, their posts, and their list of friends. Considering the need for high performance in both read and write operations, which schema design approach is most appropriate?
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?
Regarding MongoDB schema design and document structure, which two of the following statements are accurate?
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