Question 1

Which one is not the feature engineering techniques used in ML data science world?

Options :

A : Imputation

B : Binning

C : One hot encoding

D : Statistical

Answer: D

Question 2

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 3

The most widely used metrics and tools to assess a classification model are:

Options :

A : Confusion matrix

B : Cost-sensitive accuracy

C : Area under the ROC curve

D : All of the above

Answer: D

Question 4

Select the Data Science Tools which are known to provide native connectivity to Snowflake?

Options :

A : Denodo

B : DvSUM

C : DiYotta

D : HEX

Answer: D

Question 5

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

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