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Which one is not the feature engineering techniques used in ML data science world?
Which one is not the feature engineering techniques used in ML data science world?A . ImputationB . BinningC . One hot encodingD . StatisticalView AnswerAnswer: D Explanation: Feature engineering is the pre-processing step of machine learning, which is used to transform raw data into features that can be used for...
As Data Scientist looking out to use Reader account, Which ones are the correct considerations about Reader Accounts for Third-Party Access?
As Data Scientist looking out to use Reader account, Which ones are the correct considerations about Reader Accounts for Third-Party Access?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...
SHOW GRANTS OF SHARE product_s;
SHOW GRANTS OF SHARE product_s;A . GRANT USAGE ON DATABASE product_db TO SHARE product_s;B . CREATE DIRECT SHARE product_s;C . GRANT SELECT ON TABLE sales_db. product_agg.Item_agg TO SHARE product_s;D . ALTER SHARE product_s ADD ACCOUNTS=xy12345, yz23456;View AnswerAnswer: C Explanation: CREATE SHARE product_s is the correct Snowsql command to create Share...
As Data Scientist looking out to use Reader account, Which ones are the correct considerations about Reader Accounts for Third-Party Access?
As Data Scientist looking out to use Reader account, Which ones are the correct considerations about Reader Accounts for Third-Party Access?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...
