Free Snowflake DSA-C03 Exam Questions

Become Snowflake Certified with updated DSA-C03 exam questions and correct answers

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Total 65 Questions | Updated On: Jun 17, 2026

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Question 1

Which one is incorrect understanding about Providers of Direct share?

A : A data provider is any Snowflake account that creates shares and makes them available to other Snowflake accounts to consume.

B : As a data provider, you share a database with one or more Snowflake accounts.

C : You can create as many shares as you want, and add as many accounts to a share as you want.

D : If you want to provide a share to many accounts, you can do the same via Direct Share.

Answer: D

Question 2

Data providers add Snowflake objects (databases, schemas, tables, secure views, etc.) to a share us-ing Which of the following options?

A : Grant privileges on objects to a share via Account role.

B : Grant privileges on objects directly to a share.

C : Grant privileges on objects to a share via a database role.

D : Grant privileges on objects to a share via a third-party role.

Answer: B,C

Question 3

Which is the visual depiction of data through the use of graphs, plots, and informational graphics?

A : Data Interpretation

B : Data Virtualization

C : Data visualization

D : Data Mining

Answer: D

Question 4

As Data Scientist looking out to use Reader account, Which ones are the correct considerations about Reader Accounts for Third-Party Access?

A : Reader accounts (formerly known as read-only accounts) provide a quick, easy, and cost-effective way to share data without requiring the consumer to become a Snowflake customer.

B : Each reader account belongs to the provider account that created it.

C : Users in a reader account can query data that has been shared with the reader account, but cannot perform any of the DML tasks that are allowed in a full account, such as data loading, insert, update, and similar data manipulation operations.

D : Data sharing is only possible between Snowflake accounts.

Answer: D

Question 5

Performance metrics are a part of every machine learning pipeline, Which ones are not the performance metrics used in the Machine learning?

A : R² (R-Squared)

B : Root Mean Squared Error (RMSE)

C : AU-ROC

D : AUM

Answer: D

Page: 1 / 13

Total 65 Questions | Updated On: Jun 17, 2026

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