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Snowflake SnowPro Specialty - Native Apps Sample Questions:

1. Within a Snowflake Native Application, you need to implement a feature that is only available in the latest version of the application, and the usage of that feature needs to be tracked. How would you accomplish this within the application code, considering that you want to avoid exposing internal details about version numbers directly to the consumer?

A) Implement a UDF (User-Defined Function) that checks the application version and returns a flag indicating whether the feature is available. Use this flag in SQL queries to conditionally enable the feature and track its usage.
B) Create a separate role that is only granted to users of the latest version, and use this role to control access to the feature. Use a view to abstract the role requirement.
C) Use Snowflake's Resource Monitors to track resource usage by different versions of the application.
D) Use the 'APPLICATION$VERSION' function within a stored procedure to conditionally enable the feature and log the usage to a separate table. Make sure the logs are maintained within the producer account.
E) Rely on the consumer to explicitly enable the feature through a configuration parameter, then log the feature's usage.

2. A Native App provider wants to use a parameter in their MANIFEST.yml to dynamically control the number of worker threads a stored procedure uses. The desired behavior is to allow the consumer to configure this value. Considering security best practices, which of the following parameter definitions in the 'MANIFEST.yml' is the MOST appropriate?

A)

B)

C)

D)

E)

3. You are the developer of a Snowflake Native App, and you're designing a feature that allows consumer accounts to create custom reports based on data exposed by the application. These reports will be defined using SQL queries and stored as views within the consumer's account, referencing objects (tables, views) provided by the application. The application does NOT want to provide direct 'SELECT access on underlying application's tables. How can you enable this feature while adhering to best practices for security and access control within the Snowflake Native App Framework? (Select all that apply)

A) Create stored procedures that execute 'CREATE VIEW' statements in the consumer's account, controlled by parameters passed from the consumer, using EXECUTE AS OWNER.
B) Implement a UDF that constructs and executes the user's SQL query against the application's data and returns the results.
C) Grant the 'SELECT privilege directly on the application's underlying tables to a role in the consumer account.
D) Expose secure views within the application package. Consumer accounts can then create views in their account that reference these secure views.
E) Utilize Data Sharing to share the underlying tables directly with the consumer account.

4. You are developing a Snowflake Native Application that leverages user-defined functions (UDFs) and stored procedures. During the security scanning process before listing on the Snowflake Marketplace, you encounter a 'Failed to Detect Secrets' error. After investigation, you determine that the error stems from hardcoded API keys within a Python UDF that are being used to interact with a third-party service. Which of the following strategies would be MOST effective and secure to resolve this issue and pass the security scan?

A) Remove the Python UDF entirely and rewrite the logic in SQL stored procedures. Store the API keys as environment variables within the stored procedure's definition.
B) Encrypt the API keys within the Python UDF using a symmetric encryption algorithm and store the encryption key in a secure string within the application package.
C) Replace the hardcoded API keys with references to Snowflake secrets and grant the necessary privileges to the application role. Access the secrets within the UDF using the 'SYSTEM$GET SECRET function.
D) Obfuscate the API keys within the Python UDF using a string manipulation technique. This will make it harder for unauthorized users to discover the keys.
E) Store the API keys in a separate, secured table within the application's data container and access them dynamically within the Python UDF using SQL queries.

5. You are developing a Snowflake Native Application that processes sensitive dat a. During the application lifecycle management, including version updates, what steps should you take to ensure the data security and privacy of the consumers' data, especially considering that your development team might need access to a subset of the data for testing?

A) Create a separate Snowflake account for testing and populate it with synthetic data that mimics the structure and characteristics of the consumer's data.
B) Implement data masking and anonymization techniques to create a sanitized test dataset derived from the consumer's data. Provide the development team with access only to the masked data, via data sharing from the producer to consumer account.
C) Use Snowflake's data classification features to identify sensitive data and implement row-level security to restrict access to the development team.
D) Utilize Snowflake's external functions to process the data in a secure enclave outside of Snowflake, minimizing the risk of data exposure. Ensure external functions called are encrypted.
E) Grant the development team direct access to the consumer's data warehouse to facilitate testing. Ensure proper auditing is enabled.

Solutions: