Question 3

Explanation

✅ Declaring a function as SECURE might prevent the optimizer from performing certain pushdown optimizations, potentially impacting performance.

Explanation:

• SECURE functions in Snowflake restrict visibility of their logic and execution details to enhance data security.

• However, this security constraint can limit the optimizer’s ability to perform pushdown optimizations, meaning certain operations may not be executed as efficiently as non-secure functions.

• This trade-off is important for architects to consider when balancing performance vs. security in their Snowflake environment.

❌ Why the other options are incorrect?

• Secure functions always run on larger warehouses, increasing compute costs. → Incorrect, because warehouse size is independent of function security settings.

• Secure functions enforce row-level security, which is always faster than non-secure functions. → Incorrect, as row-level security is managed separately and does not inherently improve performance.

• Secure functions require data to be decrypted on the client side, leading to network latency. → Incorrect, because Snowflake handles encryption/decryption internally, not on the client side.

• Secure functions automatically leverage query caching more aggressively than non-secure functions. → Incorrect, as query caching behavior is not affected by function security settings.

You can find more details on Snowflake Secure Functions and their impact on query optimization here and here.