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DSA-C02 PDF + Testing Engine



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  • Exam Name: SnowPro Advanced: Data Scientist Certification Exam
  • Last Update: 26-May-2024
  • Questions and Answers: 65
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DSA-C02 Questions and Answers

Question # 1

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


k-fold cross-validation


Leave-one-out cross-validation


Holdout method


All of the above

Question # 2

Which ones are the known limitations of using External function?


Currently, external functions cannot be shared with data consumers via Secure Data Sharing.


Currently, external functions must be scalar functions. A scalar external function re-turns a single value for each input row.


External functions have more overhead than internal functions (both built-in functions and internal UDFs) and usually execute more slowly


An external function accessed through an AWS API Gateway private endpoint can be accessed only from a Snowflake VPC (Virtual Private Cloud) on AWS and in the same AWS region.

Question # 3

Select the Correct Statements regarding Normalization?


Normalization technique uses minimum and max values for scaling of model.


Normalization technique uses mean and standard deviation for scaling of model.


Scikit-Learn provides a transformer RecommendedScaler for Normalization.


Normalization got affected by outliers.

Question # 4

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






One hot encoding



Question # 5

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


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.


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


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.


Data sharing is only possible between Snowflake accounts.

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