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Snowflake DSA-C02 Exam - Topic 1 Question 12 Discussion

What Can Snowflake Data Scientist do in the Snowflake Marketplace as Consumer?
D) Use the business intelligence (BI)/ML/Deep learning tools of her choice.
A) Discover and test third-party data sources.
B) Receive frictionless access to raw data products from vendors.
C) Combine new datasets with your existing data in Snowflake to derive new business in-sights.

Snowflake DSA-C02 Exam - Topic 1 Question 12 Discussion

Actual exam question for Snowflake's DSA-C02 exam
Question #: 12
Topic #: 1
[All DSA-C02 Questions]

What Can Snowflake Data Scientist do in the Snowflake Marketplace as Consumer?

Show Suggested Answer Hide Answer
Suggested Answer: D

All are correct except a standard-only stream tracks row inserts only.

A standard (i.e. delta) stream tracks all DML changes to the source object, including inserts, up-dates, and deletes (including table truncates).


by Rosio at Feb 12, 2024, 04:44 PM

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Janna
9 months ago
Not sure about that, seems like it could get messy with all those datasets.
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Sherill
9 months ago
Frictionless access to raw data is a game changer!
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Luisa
9 months ago
Wait, can you really combine datasets like that? Sounds too good to be true.
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Gilbert
10 months ago
Totally agree, it's super useful for data exploration.
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Lacey
10 months ago
You can discover and test third-party data sources!
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Arlean
10 months ago
I vaguely recall something about using BI tools, but I can't remember if that was specific to the marketplace. D seems a bit off to me.
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Ligia
10 months ago
I feel like combining datasets was a big topic in our practice questions, so C might be the right choice here.
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Krissy
10 months ago
I'm a bit unsure, but I remember something about accessing raw data products easily, so maybe B is correct?
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Van
11 months ago
I think option A sounds familiar, like we discussed how data scientists can explore different data sources in the marketplace.
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Joanne
11 months ago
I'm confident that options A, C, and D are all correct. The Snowflake Marketplace seems to provide a lot of flexibility and access for Data Scientists.
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Cristy
11 months ago
The key here is that the Data Scientist can discover and test third-party data sources, as well as combine those with their existing data to derive new business insights. That's a really powerful capability.
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Art
11 months ago
Hmm, I'm a bit unsure about the exact capabilities. I'll need to review the Snowflake Marketplace documentation to make sure I understand the full scope of what a Data Scientist can do as a consumer.
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Merlyn
11 months ago
This question seems straightforward - I think the Snowflake Data Scientist can do all of those things in the Snowflake Marketplace as a consumer.
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Paris
11 months ago
Okay, I think I've got this. The Metering_History view is used for gathering the hourly credit usage for an account, so I'll go with option A.
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Shenika
11 months ago
Hmm, I'm a bit confused by the different responsibilities listed. I'll need to think through how each role would be involved in the new customer engagement process.
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Dortha
11 months ago
I feel confident I can do this, but I'll double-check the instructions just to be sure I'm not overlooking anything.
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Harrison
1 year ago
I'm just hoping the exam doesn't ask me to build a snowman with the data. That would be the ultimate data science challenge!
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Merrilee
1 year ago
A is important too. Discovering and testing third-party data sources is crucial for expanding the data ecosystem and finding hidden gems.
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Carline
1 year ago
Hmm, I'm tempted to go with D. Who doesn't love having a smorgasbord of tools to play with? It's like being a kid in a data science candy store!
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Bette
1 year ago
User 4: D does sound appealing, but don't forget about the other options like combining new datasets for new insights.
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Nana
1 year ago
User 3: Definitely! It's like having a data science playground to experiment with.
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Ramonita
1 year ago
User 2: I agree, it's like having all the tools you need right at your fingertips.
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Glenna
1 year ago
User 1: I think D is a great choice! Having a variety of tools can really enhance your data analysis.
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Cherelle
1 year ago
B and D also sound really useful. Frictionless access to raw data products and the ability to use your preferred BI/ML/DL tools would be a game-changer.
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Tonja
1 year ago
Timothy: It really opens up a lot of possibilities for data analysis and insights.
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Timothy
1 year ago
User 2: Definitely! And being able to use the tools you're comfortable with is a huge advantage.
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Johnathon
1 year ago
User 1: I agree, having access to raw data products easily would save a lot of time.
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Eloisa
1 year ago
I think the correct answer is C. Being able to combine new datasets with existing data to derive new business insights is a key capability for a Snowflake Data Scientist in the Marketplace.
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Rosamond
1 year ago
True, having access to third-party data sources can also provide valuable information for analysis.
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Franchesca
1 year ago
I think option D is also important, having access to BI/ML/Deep learning tools can enhance data analysis.
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Princess
1 year ago
I agree, being able to combine new datasets with existing data is crucial for deriving insights.
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Afton
1 year ago
I believe we can also receive frictionless access to raw data products from vendors in the Snowflake Marketplace.
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Lezlie
1 year ago
Yes, that's true. We can also combine new datasets with our existing data in Snowflake to derive new business insights.
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Kiley
1 year ago
I think as a Snowflake Data Scientist, we can discover and test third-party data sources in the Snowflake Marketplace.
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