Become MongoDB Certified with updated C100DEV exam questions and correct answers
How does MongoDB handle sorting on fields that contain missing values (i.e., values that are not present in all documents in the collection)?
In a MongoDB collection named orders, you are tasked with retrieving a subset of documents that fulfill specific criteria. Each document in this collection contains the following fields: customerId, orderId, orderDate, and orderDetails (an embedded document with fields: product, quantity, unitPrice). You are required to fetch all orders made by the customer with a customerId of 1234 on a specific date 2023-04-12, and only return the orderId, orderDate, and product from orderDetails. Which of the following MongoDB queries would accurately fulfill these requirements?
You are designing a MongoDB schema for an e-commerce platform. The system has three collections: Products, Categories, and Reviews.Products Collection: Contains information about each product, including its name, price, and categoryId referencing the Categories collection.Categories Collection: Contains the category name and description.Reviews Collection: Contains user reviews for products, including the productId referencing the Products collection, userId, rating, and reviewText.Which of the following is the best approach to model the relationships between Products, Categories, and Reviews in MongoDB?
Suppose you have a restaurants collection with the following document structure:
{
_id: ObjectId("5eb3d668b31de5d588f42931"),
address: {
building: '6409',
coord: [ -74.00528899999999, 40.628886 ],
street: '11 Avenue',
zipcode: '11219'
},
borough: 'Brooklyn',
cuisine: 'American',
grades: [
{
date: ISODate("2014-07-18T00:00:00.000Z"),
grade: 'A',
score: 12
},
{
date: ISODate("2013-07-30T00:00:00.000Z"),
grade: 'A',
score: 12
},
{
date: ISODate("2013-02-13T00:00:00.000Z"),
grade: 'A',
score: 11
},
{ date: ISODate("2012-08-16T00:00:00.000Z"),
grade: 'A',
score: 2 },
{
date: ISODate("2011-08-17T00:00:00.000Z"),
grade: 'A',
score: 11
}
],
name: 'Regina Caterers',
restaurant_id: '40356649'
}
You don't have any indexes so far. What will the query plan look like for the following query?
db.restaurants.find( { "cuisine": "American" } )
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