Question 1

Which one is not Types of Feature Scaling?

Options :

A : Economy Scaling

B : Min-Max Scaling

C : Standard Scaling

D : Robust Scaling

Answer: B

Question 2

Which one is incorrect understanding about Providers of Direct share?

Options :

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 3

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

Options :

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 4

To return the contents of a DataFrame as a Pandas DataFrame, Which of the following method can be used in SnowPark API?

Options :

A : REPLACE_TO_PANDAS

B : SNOWPARK_TO_PANDAS

C : CONVERT_TO_PANDAS

D : TO_PANDAS

Answer: D

Question 5

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

Options :

A : Publish listings for free-to-use datasets to generate interest and new opportunities among the Snowflake customer base.

B : Publish listings for datasets that can be customized for the consumer.

C : Share live datasets securely and in real-time without creating copies of the data or im-posing data integration tasks on the consumer.

D : Eliminate the costs of building and maintaining APIs and data pipelines to deliver data to customers.

Answer: A,B,C,D