Challenge - 5 Problems
MongoDB $mul Master
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Test your skills under time pressure!
❓ query_result
intermediate2:00remaining
What is the result of this update operation?
Given a MongoDB collection products with a document:
{ "_id": 1, "price": 100, "quantity": 5 }What will be the document after running this update?db.products.updateOne({ _id: 1 }, { $mul: { price: 1.1, quantity: 2 } })Attempts:
2 left
💡 Hint
The $mul operator multiplies the current field value by the given number.
✗ Incorrect
The price 100 is multiplied by 1.1 resulting in 110. The quantity 5 is multiplied by 2 resulting in 10.
🧠 Conceptual
intermediate1:30remaining
Which statement about $mul is true?
Choose the correct statement about the MongoDB $mul operator.
Attempts:
2 left
💡 Hint
Think about what happens if you try to multiply a string by a number.
✗ Incorrect
$mul only works on numeric fields. Using it on non-numeric fields causes an error.
📝 Syntax
advanced1:30remaining
Which update command correctly multiplies the field 'score' by 3?
Select the valid MongoDB update command that multiplies the 'score' field by 3 for documents with
{_id: 5}.Attempts:
2 left
💡 Hint
The multiplier must be a number, not a string or other type.
✗ Incorrect
Option A uses a numeric multiplier 3, which is valid. Options A, C, and D use invalid types causing errors.
🔧 Debug
advanced2:00remaining
Why does this update fail?
Given a document:
{ "_id": 10, "count": "5" }Why does this update fail?db.collection.updateOne({ _id: 10 }, { $mul: { count: 2 } })Attempts:
2 left
💡 Hint
Check the data type of the field being multiplied.
✗ Incorrect
The 'count' field is a string "5", not a number. $mul only works on numeric fields, so it fails.
❓ optimization
expert2:30remaining
How to efficiently multiply multiple fields in many documents?
You want to multiply the fields 'price' and 'tax' by 1.05 in all documents of a large collection. Which approach is best for performance?
Attempts:
2 left
💡 Hint
Consider how many database operations are needed and atomicity.
✗ Incorrect
Option C performs one atomic update on all documents, minimizing operations and ensuring consistency.