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Snowflake NAS-C01 Exam Syllabus Topics:

Snowflake SnowPro Specialty - Native Apps Sample Questions:

1. A Snowflake Native App provider is experiencing intermittent failures during consumer installation attempts. The logs on the provider side show generic error messages with limited details. You suspect the issue lies within the Java UDFs used by the application. Which combination of actions would MOST effectively help you diagnose the root cause, assuming you have access to both the provider and consumer environments?

A) Disable all Java UDFs within the application and re-attempt the installation on the consumer side. If the installation succeeds, re-enable the UDFs one at a time to isolate the faulty UDE Do not examine any logs.
B) Implement structured logging within the Java UDFs using SLF4J or java.util.logging, including detailed context (e.g., input parameters, intermediate variable values). Configure Snowflake to capture UDF logs and analyze them using SQL. Enable tracing using Snowflake's Event Tables and correlate UDF execution with other system events.
C) Attempt to reproduce the error in a local Java development environment using mock data. If successful, use a debugger to step through the code. Do not configure any logging within Snowflake itself.
D) Rely solely on Snowflake's default logging capabilities. Increase the logging level to DEBUG for the entire Snowflake account. Contact Snowflake support immediately for assistance with debugging the Java UDFs.
E) Implement try-catch blocks within the Java UDFs to catch exceptions and log them to a dedicated Snowflake table. Use Snowflake's error functions (e.g., ERRORCODE(Y , 'ERRORMESSAGE(Y) to capture relevant information about the exceptions.

2. You are designing a Snowflake Native Application that provides a data enrichment service. Consumers provide their data via a secure data share, and your application enriches it with external datasets within your provider account. To ensure data security and prevent accidental data leakage, which of the following strategies should you implement when designing the application's logic (select all that apply)?

A) Grant the consumer's application role 'OWNERSHIP' privilege on the data share. This simplifies data management for the consumer.
B) Use fully qualified names when referencing objects within the consumer's shared data (e.g.,
C) Create a dedicated service user within your provider account with restricted privileges to access the shared data. The application's logic should execute using this service user's context.
D) Implement strict input validation and sanitization of the data received from the consumer to prevent SQL injection or other malicious attacks that could lead to data exfiltration.
E) Log all data access and modifications performed by the application, including the user context (application role), timestamps, and objects accessed, for auditing purposes.

3. You are creating a Snowflake Native Application that uses Snowpark Container Services. The application needs to process large datasets and requires a Compute Pool with specific GPU resources. You use the following SQL command to create a compute pool:

After creating the compute pool, you notice that your Snowpark Container Service is unable to start. Upon inspecting the 'SYSTEM$GET CP POLICY' for the allowed instance families list does not contain 'GPU NV M'. What is the MOST likely reason for this and how do you rectify it?

A) The specified instance family is invalid or not supported in your region. Use 'SYSTEM$GET_CP POLICY to verify the available instance families and choose a supported one.
B) The account does not have access to GPU-based instance families. Contact Snowflake support to enable GPU instance families for your account.
C) The COMPUTE POOL needs to be explicitly associated to the application package by running ALTER APPLICATION PACKAGE ADD COMPUTE POOL my_compute_poor.
D) GPU instance types are automatically enabled as part of SPCS and there is no account restriction.
E) You need to explicitly grant the 'USAGE privilege on the instance family to the application role used by the container service using "GRANT USAGE ON INSTANCE FAMILY GPU NV M TO ROLE

4. You have a Snowflake Native Application that utilizes a managed table. After upgrading your application to version 2.0, some users report that they are missing data in the managed table. After investigation, you realize version 2.0 changed the schema of the managed table and also did not properly migrate all the data from old format into new format. Which of the following steps should be taken to address the missing data after upgrading a Snowflake Native Application?

A) Create a new version 2.1 that includes a data migration script to transfer data from the old schema (as it existed in version 1.0) to the new schema in version 2.0. Use release directives to upgrade affected users to version 2.1 after staging.
B) Create a new version 2.1. Within version 2.1's setup script, dynamically detect if the application is an upgrade from 1.0 and, if so, execute the data migration script to transfer data from the old schema to the new schema.
C) Since managed tables are fully managed by Snowflake, contact Snowflake support to initiate a data recovery process in each affected consumer account.
D) Manually insert the missing data into the managed table in each consumer's account, contacting affected users to coordinate the data entry.
E) Rollback all users to version 1.0 and then perform the schema migration directly on the consumer's account using custom SQL scripts.

5. You're developing a Snowflake Native Application with a front-end UI built using Streamlit, deployed as a UDF. This UI allows users to upload CSV files for processing. To adhere to security best practices and prevent unacceptable code practices in a Native App, what considerations should you prioritize in your development and deployment process specifically related to handling user-uploaded files ?

A) Allow user to execute scripts or upload executable file as part of CSV content
B) Store the uploaded CSV files directly within a Snowflake table without any validation to ensure high performance and minimal overhead.
C) Disable any logging or auditing of file upload activity to protect user privacy and avoid unnecessary data storage.
D) Assume that all uploaded files are safe and trustworthy, and directly process them without any security checks.
E) Implement strict file size limits and file type validation on both the client-side (Streamlit UI) and server-side (Snowflake UDF) to prevent denial-of-service attacks and malicious file uploads. Sanitize and validate the contents of the uploaded CSV file, escaping special characters and preventing SQL injection vulnerabilities if data from the CSV is used in SQL queries.

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