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Question 1

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 2

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

Question 3

Mark the incorrect statement regarding Python UDF?

Options :

A : Python UDFs can contain both new code and calls to existing packages

B : For each row passed to a UDF, the UDF returns either a scalar (i.e. single) value or, if defined as a table function, a set of rows.

C : A UDF also gives you a way to encapsulate functionality so that you can call it repeatedly from multiple places in code

D : A scalar function (UDF) returns a tabular value for each input row

Answer: D

Question 4

Which one is not the types of Feature Engineering Transformation?

Options :

A : Scaling

B : Encoding

C : Aggregation

D : D. Normalization

Answer: C

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