countDocuments method in MongoDB - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to count all documents in the 'users' collection.

MongoDB

const count = await db.collection('users').[1]();

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Afind

BcountDocuments

CinsertOne

DdeleteMany

Attempts:

3 left

💡 Hint

Common Mistakes

Using find() instead of countDocuments() to count documents.

Trying to use insertOne() which adds documents, not counts them.

The countDocuments method returns the number of documents in the collection.

2fill in blank

medium

Complete the code to count documents where the field 'status' equals 'active'.

MongoDB

const activeCount = await db.collection('users').countDocuments({ [1]: 'active' });

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Astatus

Bage

Cname

Demail

Attempts:

3 left

💡 Hint

Common Mistakes

Using a wrong field name that does not exist in documents.

Leaving the query object empty when a filter is needed.

The query object specifies the field to filter documents. Here, we count documents with status equal to 'active'.

3fill in blank

hard

Fix the error in the code to correctly count documents with age greater than 30.

MongoDB

const count = await db.collection('users').countDocuments({ age: { [1]: 30 } });

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A$gt

B$lt

C$eq

D$ne

Attempts:

3 left

💡 Hint

Common Mistakes

Using $lt which means 'less than' instead of 'greater than'.

Using $eq which means 'equal to' instead of a comparison operator.

The MongoDB query operator $gt means 'greater than'. It filters documents where age is greater than 30.

4fill in blank

hard

Fill both blanks to count documents where 'score' is at least 80 and 'passed' is true.

MongoDB

const passedCount = await db.collection('exams').countDocuments({ score: { [1]: 80 }, [2]: true });

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A$gte

Bpassed

Cscore

D$lte

Attempts:

3 left

💡 Hint

Common Mistakes

Using $lte instead of $gte for the score comparison.

Using wrong field names for the boolean condition.

$gte means 'greater than or equal to', used to check if score is at least 80. The field passed is checked for true.

5fill in blank

hard

Fill all three blanks to count documents where 'category' is 'books', 'price' is less than 20, and 'inStock' is true.

MongoDB

const cheapBooksCount = await db.collection('products').countDocuments({ [1]: 'books', price: { [2]: 20 }, [3]: true });

Drag options to blanks, or click blank then click option'

Acategory

B$lt

CinStock

Dprice

Attempts:

3 left

💡 Hint

Common Mistakes

Mixing up field names like using 'price' for category.

Using $gt instead of $lt for price comparison.

Using 'stock' instead of 'inStock' for availability.

The query filters documents where category equals 'books', price is less than 20 using $lt, and inStock is true.