Bird
Raised Fist0
MongoDBquery~20 mins

Query filter syntax in MongoDB - Practice Problems & Coding Challenges

Choose your learning style10 modes available

Start learning this pattern below

Jump into concepts and practice - no test required

or
Recommended
Test this pattern10 questions across easy, medium, and hard to know if this pattern is strong
Challenge - 5 Problems
🎖️
Query Filter Master
Get all challenges correct to earn this badge!
Test your skills under time pressure!
query_result
intermediate
2:00remaining
Find documents with age greater than 30
Given a collection users with documents containing an age field, which query returns all users older than 30?
MongoDB
db.users.find({ age: { $gt: 30 } })
Adb.users.find({ age: { $gt: 30 } })
Bdb.users.find({ age: { $lt: 30 } })
Cdb.users.find({ age: { $gte: 30 } })
Ddb.users.find({ age: 30 })
Attempts:
2 left
💡 Hint
Use $gt to find values greater than a number.
query_result
intermediate
2:00remaining
Find documents with name starting with 'A'
Which query returns all documents where the name field starts with the letter 'A'?
MongoDB
db.users.find({ name: /^A/ })
Adb.users.find({ name: /^A/ })
Bdb.users.find({ name: { $regex: 'A$' } })
Cdb.users.find({ name: { $regex: '^A' } })
Ddb.users.find({ name: { $regex: 'A' } })
Attempts:
2 left
💡 Hint
Use a regular expression to match the start of the string.
📝 Syntax
advanced
2:00remaining
Identify the syntax error in this query
Which option contains a syntax error in the MongoDB query filter?
MongoDB
db.products.find({ price: { $lt: 100, $gt: 50 } })
Adb.products.find({ price: { $gte: 50, $lte: 100 } })
Bdb.products.find({ price: { $gt: 50, $lt: 100 } })
Cdb.products.find({ price: { $lt: 100, $gt: 50 } })
Ddb.products.find({ price: { $lt: 100 } $gt: 50 })
Attempts:
2 left
💡 Hint
Check for missing commas or misplaced braces.
optimization
advanced
2:00remaining
Optimize query to find users with status 'active' or 'pending'
Which query is the most efficient to find users whose status is either 'active' or 'pending'?
MongoDB
db.users.find({ status: { $in: ['active', 'pending'] } })
Adb.users.find({ $or: [ { status: 'active' }, { status: 'pending' } ] })
Bdb.users.find({ status: 'active' || 'pending' })
Cdb.users.find({ status: { $in: ['active', 'pending'] } })
Ddb.users.find({ status: { $or: ['active', 'pending'] } })
Attempts:
2 left
💡 Hint
Use $in operator for multiple possible values in one field.
🧠 Conceptual
expert
2:00remaining
Understanding query filter behavior with missing fields
What will the query db.orders.find({ shippedDate: { $exists: false } }) return?
ADocuments where the shippedDate field exists and is null
BDocuments where the shippedDate field does not exist
CDocuments where the shippedDate field is missing or null
DDocuments where the shippedDate field exists and has any value
Attempts:
2 left
💡 Hint
The $exists operator checks if a field is present in the document.

Practice

(1/5)
1. What does a MongoDB query filter do?
{ age: 25 }
easy
A. Deletes documents where age is 25
B. Updates documents to set age to 25
C. Selects documents where the age field is exactly 25
D. Creates a new document with age 25

Solution

  1. Step 1: Understand the role of a query filter

    A query filter in MongoDB is used to find documents that match certain conditions, not to modify or delete them.
  2. Step 2: Analyze the filter { age: 25 }

    This filter matches documents where the field age has the value 25 exactly.
  3. Final Answer:

    Selects documents where the age field is exactly 25 -> Option C
  4. Quick Check:

    Query filter = select matching documents [OK]
Hint: Filters pick matching data, not modify or delete [OK]
Common Mistakes:
  • Confusing filter with update or delete commands
  • Thinking filter creates or changes documents
  • Assuming filter matches partial or range values without operators
2. Which of these is the correct syntax to find documents where score is greater than 80?
easy
A. { score > 80 }
B. { score: gt 80 }
C. { $score: { gt: 80 } }
D. { score: { $gt: 80 } }

Solution

  1. Step 1: Recall MongoDB operator syntax

    MongoDB uses JSON objects with operators starting with a dollar sign, like $gt for 'greater than'.
  2. Step 2: Check each option

    { score: { $gt: 80 } } uses { score: { $gt: 80 } } which is correct syntax. Others miss the dollar sign or use invalid syntax.
  3. Final Answer:

    { score: { $gt: 80 } } -> Option D
  4. Quick Check:

    Use $gt for greater than in filters [OK]
Hint: Operators start with $ inside field object [OK]
Common Mistakes:
  • Omitting $ before operator
  • Using comparison operators like > directly
  • Wrong operator names without $
3. Given the collection documents:
{ name: "Alice", age: 30 }
{ name: "Bob", age: 25 }
{ name: "Carol", age: 30 }

What will this query return?
db.collection.find({ age: 30 })
medium
A. [{ name: "Alice", age: 30 }, { name: "Carol", age: 30 }]
B. [{ name: "Bob", age: 25 }]
C. [] (empty array)
D. Syntax error

Solution

  1. Step 1: Understand the filter condition

    The filter { age: 30 } matches documents where the age field equals 30.
  2. Step 2: Identify matching documents

    Documents for Alice and Carol have age 30, so both match. Bob has age 25, so does not match.
  3. Final Answer:

    [{ name: "Alice", age: 30 }, { name: "Carol", age: 30 }] -> Option A
  4. Quick Check:

    Filter matches exact age 30 documents [OK]
Hint: Filter matches exact field values without operators [OK]
Common Mistakes:
  • Expecting only one document returned
  • Confusing filter with update or delete
  • Thinking filter matches partial or range without operators
4. What is wrong with this MongoDB query filter?
db.collection.find({ age: $gt: 20 })
medium
A. Using $gt instead of $gte
B. Missing curly braces around $gt operator
C. Field name should be $age, not age
D. No error, query is correct

Solution

  1. Step 1: Check operator syntax in filter

    MongoDB requires operators like $gt to be inside an object as a value for the field key.
  2. Step 2: Identify the syntax error

    The query uses { age: $gt: 20 } which is invalid. It should be { age: { $gt: 20 } } with curly braces around $gt: 20.
  3. Final Answer:

    Missing curly braces around $gt operator -> Option B
  4. Quick Check:

    Operators must be inside braces as field values [OK]
Hint: Put operators inside braces after field name [OK]
Common Mistakes:
  • Omitting braces around operator
  • Using wrong operator names
  • Misplacing $ sign
5. You want to find documents where status is either "active" or "pending". Which filter correctly does this?
hard
A. { status: { $in: ["active", "pending"] } }
B. { status: { $or: ["active", "pending"] } }
C. { $or: { status: "active", status: "pending" } }
D. { status: "active" || "pending" }

Solution

  1. Step 1: Understand how to match multiple values

    MongoDB uses $in operator to match a field against any value in a list.
  2. Step 2: Analyze each option

    { status: { $in: ["active", "pending"] } } uses { status: { $in: ["active", "pending"] } } which is correct. { status: { $or: ["active", "pending"] } } uses invalid operator $or inside field. { $or: { status: "active", status: "pending" } } has wrong syntax for $or. { status: "active" || "pending" } uses invalid JavaScript syntax.
  3. Final Answer:

    { status: { $in: ["active", "pending"] } } -> Option A
  4. Quick Check:

    Use $in for matching any value in list [OK]
Hint: Use $in with array for multiple value matches [OK]
Common Mistakes:
  • Using $or inside field instead of top-level
  • Wrong syntax for $or operator
  • Using JavaScript operators inside filter