String and number types in MongoDB - Cheat Sheet & Quick Revision

Recall & Review

beginner

What data type is used to store text in MongoDB?

The String data type is used to store text in MongoDB. It stores sequences of characters like words or sentences.

beginner

Name two number types in MongoDB and their difference.

MongoDB uses int for 32-bit integers and double for 64-bit floating-point numbers. <br>Int stores whole numbers, while double can store decimals.

beginner

How does MongoDB store a number with decimals?

MongoDB stores numbers with decimals using the double type, which is a 64-bit floating-point number.

intermediate

What happens if you store a large whole number in MongoDB that exceeds 32-bit integer range?

If the number is too large for 32-bit int, MongoDB stores it as a long (64-bit integer) or double depending on the value.

intermediate

Why is it important to choose the correct number type in MongoDB?

Choosing the correct number type helps save space and ensures accurate calculations. For example, using int for whole numbers is efficient, while double is needed for decimals.

Which MongoDB data type is best for storing a person's name?

A String

B int

C double

D boolean

Names are text, so the String type is the correct choice.

What type does MongoDB use to store a number like 42?

A double

B boolean

C int

D string

42 is a whole number that fits in 32-bit int, so MongoDB stores it as int.

Which type should you use to store the number 3.14 in MongoDB?

A double

B int

C string

D long

3.14 has decimals, so it must be stored as a double.

If a number is too big for int, MongoDB stores it as:

A boolean

B long or double

C string

D array

Large numbers are stored as long (64-bit int) or double depending on the value.

Which MongoDB type is NOT used for numbers?

A long

B double

C int

D string

String is for text, not numbers.

Explain the difference between String and number types in MongoDB and when to use each.

Think about what kind of data you want to save: words or numbers.

Describe how MongoDB handles large numbers that don't fit in 32-bit integers.

Consider the size limits of int and alternatives.