Which Mongodb coding interview questions to prepare?

MongoDB Coding Interview Questions to Prepare

Preparing for MongoDB coding interviews involves focusing on fundamental operations, advanced queries, and real-world problem-solving scenarios. Below is a list of commonly asked MongoDB coding interview questions, categorized for effective preparation.

1. Basic CRUD Operations

  • Write a query to insert a single document and multiple documents into a collection.

    db.collection.insertOne({ name: "Alice", age: 30 }); db.collection.insertMany([{ name: "Bob" }, { name: "Charlie" }]);
  • How do you retrieve documents where a field meets a specific condition?

    db.collection.find({ age: { $gt: 25 } });
  • Write a query to update a specific field in a document.

    db.collection.updateOne({ name: "Alice" }, { $set: { age: 31 } });
  • How do you delete a document from a collection?

    db.collection.deleteOne({ name: "Bob" });

2. Advanced Queries

  • Retrieve all documents where a field contains a value in an array.

    db.collection.find({ hobbies: { $in: ["reading", "swimming"] } });
  • Use the $regex operator to find documents where a field matches a pattern.

    db.collection.find({ name: { $regex: "^A", $options: "i" } });
  • Perform a query to retrieve only specific fields of documents.

    db.collection.find({}, { name: 1, age: 1 });

3. Aggregation Framework

  • Group documents by a specific field and calculate counts.

    db.collection.aggregate([{ $group: { _id: "$age", count: { $sum: 1 } } }]);
  • Use $match and $project stages to filter and reshape data.

    db.collection.aggregate([ { $match: { age: { $gt: 25 } } }, { $project: { name: 1, age: 1 } } ]);
  • Sort documents in descending order using the $sort stage.

    db.collection.aggregate([{ $sort: { age: -1 } }]);

4. Indexing and Optimization

  • Create an index on a field to optimize query performance.

    db.collection.createIndex({ age: 1 });
  • How do you analyze a query's performance using $explain?

    db.collection.find({ age: 30 }).explain("executionStats");

5. Real-World Scenarios

  • Design a query to fetch all orders placed by a user within the last 30 days.

    db.orders.find({ userId: "12345", orderDate: { $gte: new Date(new Date() - 30 * 24 * 60 * 60 * 1000) } });
  • How would you handle a many-to-many relationship in MongoDB?

  • Write a query to find the top 5 most frequently purchased products.

    db.orders.aggregate([ { $unwind: "$products" }, { $group: { _id: "$products", count: { $sum: 1 } } }, { $sort: { count: -1 } }, { $limit: 5 } ]);

To master MongoDB coding questions:

These questions and resources will help you confidently tackle MongoDB coding interview challenges.

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