Snowflake Exam COF-C02 Topic 6 Question 56 Discussion

Actual exam question for Snowflake's COF-C02 exam

Question #: 56
Topic #: 6

When unloading data, which combination of parameters should be used to differentiate between empty strings and NULL values? (Select TWO).

AESCAPE_UNENCLOSED_FIELD

BREPLACE_INVALID_CHARACTERS

CFIELD_OPTIONALLY_ENCLOSED_BY

DEMPTY_FIELD_AS_NULL

ESKIP_BLANK_LINES

Show Suggested Answer

Suggested Answer: C, D

When unloading data in Snowflake, it is essential to differentiate between empty strings and NULL values to preserve data integrity. The parameters FIELD_OPTIONALLY_ENCLOSED_BY and EMPTY_FIELD_AS_NULL are used together to address this:

FIELD_OPTIONALLY_ENCLOSED_BY: This parameter specifies the character used to enclose fields, which can differentiate between empty strings (as enclosed fields) and NULLs.

EMPTY_FIELD_AS_NULL: By setting this parameter, Snowflake interprets empty fields as NULL values when unloading data, ensuring accurate representation of NULLs versus empty strings.

These parameters are crucial when exporting data for systems that need explicit differentiation between NULL and empty string values.

by Filiberto at Jun 11, 2025, 01:08 PM

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Evette

2 days ago

I'm a bit unsure about the second option. I remember practicing with similar questions, but I can't recall if "FIELD_OPTIONALLY_ENCLOSED_BY" is relevant here.

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Tamera

8 days ago

I think "EMPTY_FIELD_AS_NULL" is definitely one of the options we should choose. It seems to fit the question about differentiating NULLs from empty strings.

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Cassie

13 days ago

I've seen questions like this before, so I think I know the right approach. I'll make sure to select the two most relevant parameters to solve this.

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Lasandra

19 days ago

The key here is to differentiate between empty strings and NULL values. I'm pretty sure the right combination of parameters will do that, but I'll need to review them carefully.

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Murray

24 days ago

I'm a bit confused by the wording of this question. I'll need to re-read it a few times to make sure I understand what they're asking.

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Dalene

29 days ago

Okay, I think I know the answer to this one. Let me double-check the options and make sure I'm on the right track.

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Kerrie

1 month ago

Hmm, this looks like a tricky one. I'll need to think carefully about the different parameters and how they might handle empty strings versus NULL values.

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Keneth

4 months ago

Aha, I got this! D and E are the way to go. Anything to avoid those pesky NULL value issues. Though, I have to say, sometimes I wish data came with a 'self-cleaning' feature. Would make my life a lot easier.

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Rana

3 months ago

It's always a relief when you can avoid those pesky NULL value issues, right?

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Jesusita

3 months ago

I know what you mean, a 'self-cleaning' data feature would be a game changer for sure.

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Destiny

4 months ago

I agree, D and E are definitely the best options to handle empty strings and NULL values.

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Vernice

4 months ago

I'm not sure about that. I think it might also be helpful to use C) FIELD_OPTIONALLY_ENCLOSED_BY to handle any optional enclosing characters.

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Eric

4 months ago

I agree with Ulysses. Using EMPTY_FIELD_AS_NULL will differentiate between empty strings and NULL values, and SKIP_BLANK_LINES will help skip blank lines.

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Ulysses

5 months ago

I think the correct combination is D) EMPTY_FIELD_AS_NULL and E) SKIP_BLANK_LINES.

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Izetta

5 months ago

Hmm, I'm not sure. I was thinking B and C might work, but I guess D and E make more sense. Gotta love these tricky data unloading questions, am I right?

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Gwen

5 months ago

I think the correct answer is D and E. Differentiating between empty strings and NULL values is crucial, and those two options seem to address that directly.

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Jesusita

4 months ago

I would go with D and E as well, to handle empty strings and NULL values properly.

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Jesusita

4 months ago

I think it's important to use EMPTY_FIELD_AS_NULL and SKIP_BLANK_LINES.

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Jesusita

5 months ago

I agree, D and E are the correct options.

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