SnowPro Advanced: Data Engineer Practice Mode

Community Discussion

Written by other learners. Comments can disagree with the marked answer — check the official documentation when in doubt.

• Chose D4

  **correction- changing answer to D, @Maicas you're right. D. External tokenization allows the preservation of analytical values after de-identification. External tokenization typically involves using a separate service or system to tokenize sensitive data. This method allows for the preservation of certain analytical values even after de-identification, making it possible to perform some types of analysis on the tokenized data without compromising individual identities.

• Chose C1

  option-C https://docs.snowflake.com/en/user-guide/security-column-ext-token-intro#external-tokenization-benefits "Using a tokenization provider, tokenized data is pre-loaded into Snowflake. Therefore, even without applying a masking policy to a column in a table or view, users never see the real data value. This provides enhanced data security to the most sensitive data in your organization."

• 1

  Tokenized data is protected, preventing users from seing the real value. Just the opposite of answer C, which is UNmasked data.