Discuss Snowflake COF-C02 Exam Topic 6 Question 38

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

ABINARY

BVARIANT

CINTEGER

DDOUBLE

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

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38 comments · newest first

Lyla 11 months ago

VARIANT seems like a stretch for this question.

Elden 11 months ago

Agreed, DOUBLE is the way to go!

Ozell 11 months ago

Wait, can DOUBLE really handle all that precision?

Antonio 11 months ago

I thought BINARY could work too, but not really.

Stefanie 11 months ago

Definitely DOUBLE for floating-point precision!

Arlyne 12 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.

Carla 12 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.

Myra 12 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.

Elroy 1 year 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.

Leana 1 year 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.

Tien 1 year 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.

Cheryll 1 year ago

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

Kent 1 year 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.

Lisbeth 1 year ago

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

Francoise 1 year 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.

Dottie 2 years 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.

Stephaine 2 years ago

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

Tequila 2 years ago

↳ replying to Stephaine

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

Kip 2 years ago

↳ replying to Stephaine

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

Shelton 2 years ago

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

Ona 2 years ago

↳ replying to Shelton

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

Cristal 2 years ago

↳ replying to Shelton

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

Jerilyn 2 years ago

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

Alline 2 years ago

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

Nidia 2 years ago

↳ replying to Alline

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

Miriam 2 years ago

↳ replying to Alline

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

Madelyn 2 years ago

↳ replying to Alline

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

Herman 2 years ago

↳ replying to Alline

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

Ollie 2 years ago

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

Blair 2 years ago

↳ replying to Ollie

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

Elbert 2 years ago

↳ replying to Ollie

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

Jillian 2 years ago

↳ replying to Ollie

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

Gerald 2 years ago

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

Glenn 2 years ago

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

Gracia 2 years ago

I think the answer is D) DOUBLE.

Juan 2 years ago

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

Bettye 2 years ago

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

Tiffiny 2 years ago

I think the answer is D) DOUBLE.

Snowflake COF-C02 Exam - Topic 6 Question 38 Discussion