Snowflake COF-C02 Exam - Topic 6 Question 38 Discussion

Actual exam question for Snowflake's COF-C02 exam

Question #: 38
Topic #: 6

[All COF-C02 Questions]

Which data type can be used for floating-point numbers without losing precision?

ABINARY

BVARIANT

CINTEGER

DDOUBLE

Show Suggested Answer

Suggested Answer: D

In Snowflake, the DOUBLE data type is used for floating-point numbers and can represent a wide range of values without losing precision. This data type is ideal for storing numerical values that require decimal precision.

Define the Column: When creating a table, specify the column with the DOUBLE data type to store floating-point numbers.

CREATE TABLE example_table (

id INTEGER,

value DOUBLE

);

Insert Data: Insert floating-point numbers into the DOUBLE column.

INSERT INTO example_table (id, value) VALUES (1, 123.456);

References:

Snowflake Documentation: Data Types

Snowflake Documentation: Numeric Data Types

by Marla at Aug 06, 2024, 12:12 PM

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Lyla

3 months ago

VARIANT seems like a stretch for this question.

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Elden

3 months ago

Agreed, DOUBLE is the way to go!

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Ozell

3 months ago

Wait, can DOUBLE really handle all that precision?

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Antonio

4 months ago

I thought BINARY could work too, but not really.

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Stefanie

4 months ago

Definitely DOUBLE for floating-point precision!

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Arlyne

4 months ago

I’m a bit confused because I thought BINARY could also handle floating-point numbers, but now I’m leaning towards DOUBLE for precision.

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Carla

4 months ago

I practiced a similar question last week, and I chose DOUBLE then too. It seems to be the standard for floating-point precision.

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Myra

4 months ago

I feel like we covered this in class, and I want to say that DOUBLE is the right answer, but I might be mixing it up with something else.

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Elroy

5 months ago

I think I remember that DOUBLE is used for floating-point numbers, but I'm not entirely sure if it's the only one that maintains precision.

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Leana

5 months ago

I'm leaning towards DOUBLE. It's designed to handle floating-point numbers with high precision, so that seems like the best choice here.

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Tien

5 months ago

Okay, let me think this through. Floating-point numbers need to be able to represent decimal values accurately. VARIANT might work, but I think DOUBLE is the more common and precise option for this.

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Cheryll

5 months ago

I'm pretty sure the answer is DOUBLE. That's the standard data type for floating-point numbers, right?

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Kent

5 months ago

Hmm, I'm a bit confused on this one. I know BINARY is used for binary data, and INTEGER is for whole numbers. But I'm not sure which one is best for floating-point numbers without losing precision.

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Lisbeth

5 months ago

Hmm, I'm not sure about this. I'll need to think it through carefully.

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Francoise

5 months ago

I feel like option C is the way to go here. Analyzing the existing data to define the user groups, and then confirming the user requirements, seems like the logical next step.

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Dottie

1 year ago

Wait, is this a trick question? Obviously, D) DOUBLE is the right answer. I'd double-check the other options, they seem a bit... flat.

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Stephaine

1 year ago

Hmm, C) INTEGER? More like 'not-so-smart' choice. D) DOUBLE is the only option that can handle my massive decimal numbers.

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Tequila

1 year ago

Yeah, C) INTEGER wouldn't be able to handle those massive decimal numbers.

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Kip

1 year ago

I agree, D) DOUBLE is definitely the best choice for floating-point numbers.

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Shelton

1 year ago

I was gonna say B) VARIANT, but then I remembered that's for mixed data types. D) DOUBLE is the double-down choice!

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Ona

1 year ago

Yeah, B) VARIANT is more for mixed data types, so D) DOUBLE is definitely the better choice.

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Cristal

1 year ago

I think you're right, D) DOUBLE is the way to go for floating-point numbers.

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Jerilyn

2 years ago

I believe DOUBLE is the correct answer because it can store decimal numbers without losing precision.

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Alline

2 years ago

A) BINARY? Really? That's for bits, not floating-point numbers! D) DOUBLE is the clear winner here.

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Nidia

1 year ago

D) DOUBLE is the most suitable data type for precision with floating-point numbers.

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Miriam

1 year ago

C) INTEGER wouldn't work well for floating-point numbers.

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Madelyn

1 year ago

A) Yeah, BINARY is definitely not the right option.

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Herman

1 year ago

D) DOUBLE is the best choice for floating-point numbers.

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Ollie

2 years ago

D) DOUBLE is the way to go! Precision is key, and DOUBLE won't let you down.

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Blair

2 years ago

D) DOUBLE is the best choice for floating-point numbers to ensure precision.

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Elbert

2 years ago

B) VARIANT is not the correct data type for maintaining precision with floating-point numbers.

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Jillian

2 years ago

A) BINARY is not suitable for floating-point numbers.

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Gerald

2 years ago

I'm not sure, but I think BINARY can also be used for floating-point numbers.

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Glenn

2 years ago

I agree with Gracia, DOUBLE is the best data type for floating-point numbers.

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Gracia

2 years ago

I think the answer is D) DOUBLE.

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Juan

2 years ago

I'm not sure, but I think DOUBLE makes sense because it can handle decimal numbers accurately.

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Bettye

2 years ago

I agree with Tiffiny, DOUBLE is the best choice for floating-point numbers.

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Tiffiny

2 years ago

I think the answer is D) DOUBLE.

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