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Snowflake SOL-C01 Exam - Topic 4 Question 1 Discussion

Actual exam question for Snowflake's SOL-C01 exam
Question #: 1
Topic #: 4
[All SOL-C01 Questions]

Which function would you use to determine the sentiment of a customer review in Snowflake Cortex?

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Suggested Answer: C

The SENTIMENT function in Snowflake Cortex analyzes text and returns a numerical sentiment score between -1 and 1. This value indicates whether the text expresses negative, positive, or neutral sentiment. It accepts English-language text and uses Snowflake's managed AI models to infer polarity based on contextual understanding. A negative score represents negative emotion, a positive score represents positive emotion, and values near zero indicate neutrality. It is ideal for customer reviews, feedback analysis, and text mining. TRANSLATE is used for language translation, COMPLETE for text generation, and PARSE_DOCUMENT for extracting text from documents---not sentiment analysis. SENTIMENT provides fast, in-database AI inference without external model hosting or integration.

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by Sunny at Dec 18, 2025, 01:33 PM

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Harris
3 days ago
How can we be sure that's the right function?
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Vanesa
8 days ago
I disagree, I thought it was B) COMPLETE.
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Jonell
13 days ago
Wait, is there really a function called SENTIMENT? Sounds cool!
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Stefania
18 days ago
Definitely C) SENTIMENT, it makes the most sense!
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Janet
24 days ago
I think the answer is C) SENTIMENT.
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Phillip
29 days ago
I definitely recall that SENTIMENT is specifically for determining feelings in text, so that seems like the right choice.
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Gerardo
2 months ago
I’m a bit confused; I thought COMPLETE might be related to sentiment analysis too, but now I’m not so sure.
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Valentin
2 months ago
I remember practicing with similar questions, and I feel like TRANSLATE was more about converting text rather than analyzing it.
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Janna
2 months ago
I think the function we need is SENTIMENT, but I’m not entirely sure if it’s the only one that can analyze text.
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Cruz
2 months ago
C) SENTIMENT all the way. Unless you want your reviews to sound like they were translated by Google Translate.
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Irving
2 months ago
D) PARSE_DOCUMENT? Really? That's like using a sledgehammer to crack a nut.
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Victor
3 months ago
C) SENTIMENT is the way to go. Gotta love those Snowflake Cortex functions!
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Albina
3 months ago
I'd go with C) SENTIMENT. Seems like the most logical choice for sentiment analysis.
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Bette
3 months ago
C) SENTIMENT is the correct answer to determine the sentiment of a customer review in Snowflake Cortex.
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Carin
3 months ago
Based on the question, I think the SENTIMENT function is the way to go to determine the sentiment of the customer review. That seems like the most straightforward approach.
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Wilda
3 months ago
I'm a little confused on this one. Is PARSE_DOCUMENT the function that can do sentiment analysis? Or is that a different one? I'll need to review the available functions more closely.
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Dion
3 months ago
The SENTIMENT function sounds like it would be the most relevant for this task. I'm pretty confident that's the right answer, but I'll review the function details just to be sure.
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Bulah
4 months ago
Hmm, I'm a bit unsure about this one. I know there are some text analysis functions in Snowflake Cortex, but I can't remember the exact names. I'll have to double-check the documentation.
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Darell
4 months ago
I think the SENTIMENT function would be the best choice here to analyze the sentiment of the customer review.
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Brent
4 months ago
I think it's C) SENTIMENT.
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