New Year Sale 2026! Hurry Up, Grab the Special Discount - Save 25% - Ends In 00:00:00 Coupon code: SAVE25
Welcome to Pass4Success

- Free Preparation Discussions

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).


Contribute your Thoughts:

0/2000 characters
Janna
3 months ago
Not sure about that, seems like it could get messy with all those datasets.
upvoted 0 times
...
Sherill
3 months ago
Frictionless access to raw data is a game changer!
upvoted 0 times
...
Luisa
3 months ago
Wait, can you really combine datasets like that? Sounds too good to be true.
upvoted 0 times
...
Gilbert
4 months ago
Totally agree, it's super useful for data exploration.
upvoted 0 times
...
Lacey
4 months ago
You can discover and test third-party data sources!
upvoted 0 times
...
Arlean
4 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.
upvoted 0 times
...
Ligia
4 months ago
I feel like combining datasets was a big topic in our practice questions, so C might be the right choice here.
upvoted 0 times
...
Krissy
4 months ago
I'm a bit unsure, but I remember something about accessing raw data products easily, so maybe B is correct?
upvoted 0 times
...
Van
5 months ago
I think option A sounds familiar, like we discussed how data scientists can explore different data sources in the marketplace.
upvoted 0 times
...
Joanne
5 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.
upvoted 0 times
...
Cristy
5 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.
upvoted 0 times
...
Art
5 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.
upvoted 0 times
...
Merlyn
5 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.
upvoted 0 times
...
Paris
5 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.
upvoted 0 times
...
Shenika
5 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.
upvoted 0 times
...
Dortha
5 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.
upvoted 0 times
...
Harrison
9 months 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!
upvoted 0 times
...
Merrilee
9 months ago
A is important too. Discovering and testing third-party data sources is crucial for expanding the data ecosystem and finding hidden gems.
upvoted 0 times
...
Carline
9 months 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!
upvoted 0 times
Bette
8 months ago
User 4: D does sound appealing, but don't forget about the other options like combining new datasets for new insights.
upvoted 0 times
...
Nana
8 months ago
User 3: Definitely! It's like having a data science playground to experiment with.
upvoted 0 times
...
Ramonita
8 months ago
User 2: I agree, it's like having all the tools you need right at your fingertips.
upvoted 0 times
...
Glenna
9 months ago
User 1: I think D is a great choice! Having a variety of tools can really enhance your data analysis.
upvoted 0 times
...
...
Cherelle
9 months 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.
upvoted 0 times
Tonja
8 months ago
Timothy: It really opens up a lot of possibilities for data analysis and insights.
upvoted 0 times
...
Timothy
8 months ago
User 2: Definitely! And being able to use the tools you're comfortable with is a huge advantage.
upvoted 0 times
...
Johnathon
9 months ago
User 1: I agree, having access to raw data products easily would save a lot of time.
upvoted 0 times
...
...
Eloisa
10 months 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.
upvoted 0 times
Rosamond
9 months ago
True, having access to third-party data sources can also provide valuable information for analysis.
upvoted 0 times
...
Franchesca
9 months ago
I think option D is also important, having access to BI/ML/Deep learning tools can enhance data analysis.
upvoted 0 times
...
Princess
9 months ago
I agree, being able to combine new datasets with existing data is crucial for deriving insights.
upvoted 0 times
...
...
Afton
11 months ago
I believe we can also receive frictionless access to raw data products from vendors in the Snowflake Marketplace.
upvoted 0 times
...
Lezlie
11 months ago
Yes, that's true. We can also combine new datasets with our existing data in Snowflake to derive new business insights.
upvoted 0 times
...
Kiley
11 months ago
I think as a Snowflake Data Scientist, we can discover and test third-party data sources in the Snowflake Marketplace.
upvoted 0 times
...

Save Cancel