MongoDB Filtering and Query Operators Practice with Solutions

🧩 MongoDB Practice Series – Filtering & Query Logic Exercises (Part 3)

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Welcome to Part 3 of the MongoDB Practice Series.

In this lesson, you will practice advanced filtering techniques using MongoDB query operators.

These exercises will help you write more powerful and flexible queries.

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🟢 Exercise 1: Use Comparison Operators

Problem:
Find all products where price is greater than 500.

Solution:

db.products.find({
  price: { $gt: 500 }
})

Learning Goal: Practice using $gt (greater than).

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🟡 Exercise 2: Range Query

Problem:
Find students whose age is between 18 and 25 (inclusive).

Solution:

db.students.find({
  age: { $gte: 18, $lte: 25 }
})

Learning Goal: Combine $gte and $lte for range filtering.

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🟡 Exercise 3: Use $in Operator

Problem:
Find courses where level is either "Beginner" or "Intermediate".

Solution:

db.courses.find({
  level: { $in: ["Beginner", "Intermediate"] }
})

Learning Goal: Use $in for matching multiple values.

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🔵 Exercise 4: Use Logical AND

Problem:
Find students who are older than 20 AND enrolled in "MCA".

Solution:

db.students.find({
  age: { $gt: 20 },
  course: "MCA"
})

Learning Goal: Understand that multiple conditions act as AND in MongoDB.

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🔵 Exercise 5: Use $or Operator

Problem:
Find students who are either younger than 18 OR older than 25.

Solution:

db.students.find({
  $or: [
    { age: { $lt: 18 } },
    { age: { $gt: 25 } }
  ]
})

Learning Goal: Use $or for alternative conditions.

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🔴 Exercise 6: Exclude Specific Fields

Problem:
Retrieve all students but exclude the _id field.

Solution:

db.students.find(
  {},
  { _id: 0 }
)

Learning Goal: Practice projection in queries.

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🔴 Exercise 7: Search by Partial Match

Problem:
Find products where the name contains the word "Pro".

Solution:

db.products.find({
  name: { $regex: "Pro" }
})

Learning Goal: Learn basic pattern matching using $regex.

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🚀 Mini Challenge

Create a collection called employees with fields:

• name
• salary
• department
• experience

Then write queries to:

• Find employees with salary above 50,000
• Find employees in either "IT" or "HR"
• Find employees with experience between 2 and 5 years

Try solving without checking the examples above.

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🎯 What’s Next?

In Part 4 of the MongoDB Practice Series, we will learn:

• Sorting data
• Limiting results
• Advanced query combinations
• Real-world filtering scenarios

Stay tuned for the next challenge!

← Part 2 MongoDB Tutorial Next →