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Snowflake NAS-C01 Exam Syllabus Topics:

Snowflake SnowPro Specialty - Native Apps Sample Questions:

1. You are troubleshooting an issue where a Snowflake Native Application's Scala UDF, 'process_data' , is sporadically failing with an 'OutOfMemoryError'. The UDF processes large XML files. You need to identify the cause and implement a solution. Which strategies are most appropriate for diagnosing and resolving this issue within the constraints of a Snowflake Native Application?

A) Use a memory profiler to analyze the UDF's memory usage. Identify memory leaks or inefficient data structures that contribute to the 'OutOfMemoryErroN.
B) Break down the large XML files into smaller chunks before processing them with the UDF. This reduces the memory footprint of each individual UDF execution. Implement a system to orchestrate processing chunks.
C) Implement caching mechanisms within the UDF to reuse previously processed XML data, reducing the need to load and parse the same data repeatedly.
D) Modify the 'process_data' UDF to stream the XML file instead of loading the entire file into memory at once. Use a streaming XML parser to process the data incrementally.
E) Increase the warehouse size for the consumer's account. This provides more memory to the UDF execution environment.

2. A provider is developing a Snowflake Native Application that shares event data with consumers. The provider wants to ensure that specific columns in the event data are obfuscated for certain consumer accounts, while remaining visible to others. Which of the following approaches is the MOST secure and maintainable way to achieve this?

A) Implement dynamic data masking policies on the sensitive columns using the CURRENT_ACCOUNT() function to determine which accounts receive obfuscated data.
B) Use a stored procedure to query the event data, applying obfuscation logic based on the consumer's APP INSTANCE ID() before returning the results.
C) Create a separate view for each consumer account with the sensitive columns masked using a CASE statement based on the CURRENT_ACCOUNT() function.
D) Implement conditional logic within the event table function to obfuscate data based on the consumer's APP_INSTANCE_ID().
E) Data masking is not supported in Native Apps. The provider must rely on consumer-side masking implementations.

3. You are designing a setup script for a Snowflake Native Application. This script needs to perform the following actions: 1. Create a secure view that exposes a subset of data from a table owned by the provider account. 2. Grant 'SELECT privilege on this secure view to a specific role within the consumer account, but ONLY if that role already exists in the consumer account. 3. Create a UDF in the provider account which calls external function. This UDF needs access to a secret stored in a Snowflake secret object. Which of the following code snippets BEST implements these requirements, ensuring both security and proper privilege management?

A)

B)

C)

D)

E)

4. You are developing a Snowflake Native Application that allows consumers to schedule data transformations using a stored procedure.
This stored procedure needs to be able to access and update a configuration table within your application package, as well as read data from the consumer's tables. Which of the following approaches are valid and secure ways to grant the stored procedure the necessary privileges?

A) Create a custom role within the application package with the necessary privileges to access the configuration table and the consumer's data. Grant this custom role to the stored procedure using the 'EXECUTE AS OWNER clause and the application role 'USAGE' on the schema containing the stored procedure.
B) Grant the application role 'SELECT' and 'UPDATE privileges directly on the configuration table within the application package and the consumer's tables. This allows the stored procedure to access and modify the data as needed using the ' EXECUTE AS OWNER clause.
C) Grant the 'OWNERSHIP' privilege on the application package to the role executing the stored procedure. This provides the stored procedure with full control over all objects within the package.
D) Use the 'EXECUTE AS CALLER clause when creating the stored procedure and grant the application role 'USAGE' on the schema containing the stored procedure. This allows the stored procedure to execute with the privileges of the user calling it.
E) Create a secure view that exposes only the necessary columns from the consumer's tables. Grant the stored procedure 'SELECT privilege on the secure view using the ' EXECUTE AS OWNER clause and the application role 'USAGE on the schema containing the stored procedure.

5. 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) 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.
B) 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.
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) 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.
E) 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.

Solutions: