Question 1

Which one is not the types of Feature Engineering Transformation?

Options :

A : Scaling

B : Encoding

C : Aggregation

D : D. Normalization

Answer: C

Question 2

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 3

Which of the following cross validation versions may not be suitable for very large datasets with hundreds of thousands of samples?

Options :

A : k-fold cross-validation

B : Leave-one-out cross-validation

C : Holdout method

D : All of the above

Answer: B

Question 4

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

Options :

A : R² (R-Squared)

B : Root Mean Squared Error (RMSE)

C : AU-ROC

D : AUM

Answer: D

Question 5

Which one is the incorrect option to share data in Snowflake?

Options :

A : a Listing, in which you offer a share and additional metadata as a data product to one or more accounts.

B : a Direct Marketplace, in which you directly share specific database objects (a share) to another account in your region using Snowflake Marketplace.

C : a Direct Share, in which you directly share specific database objects (a share) to anoth-er account in your region.

D : a Data Exchange, in which you set up and manage a group of accounts and offer a share to that group.

Answer: B

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