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Snowflake NAS-C01 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Native Application Design and Creation	35%	- Application development workflow 1. Building and versioning applications 2. Application roles and privileges
Topic 2: Installation, Testing and Troubleshooting	20%	- Validation and debugging 1. Tracing and troubleshooting workflows 2. Logging and event tables
Topic 3: Deployment and Marketplace Publishing	25%	- Distribution and lifecycle management 1. Version upgrades and release management 2. Marketplace listings and publishing
Topic 4: Snowflake Native App Framework Overview	20%	- Native application concepts and architecture 1. Application packages and structure 2. Manifest files and setup scripts

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Snowflake SnowPro Specialty - Native Apps Sample Questions (Q18-Q23):

NEW QUESTION # 18
You are developing a Streamlit application within a Snowflake Native Application that needs to access a secured view named 'sensitive_data' in the application's container. This view exposes aggregated and anonymized dat a. What minimum set of privileges must be granted to the 'app_public' application role to allow users to query this view from the Streamlit application?

A. GRANT SELECT ON VIEW .application.sensitive_data TO APPLICATION ROLE app_public;
B. GRANT USAGE ON SCHEMA application TO APPLICATION ROLE app_public; GRANT SELECT ON VIEW .application.sensitive_data TO APPLICATION ROLE app_public;
C. GRANT USAGE ON DATABASE TO APPLICATION ROLE app_public; GRANT SELECT ON VIEW .application.sensitive_data TO APPLICATION ROLE app_public;
D. GRANT USAGE ON DATABASE .application TO APPLICATION ROLE app_public; GRANT SELECT ON VIEW .application.sensitive_data TO APPLICATION ROLE app_public;
E. GRANT USAGE ON SCHEMA application TO APPLICATION ROLE app_public; GRANT ALL PRIVILEGES ON VIEW application.sensitive_data TO APPLICATION ROLE app_public;

Answer: B

Explanation:
The correct answer is B. To access a view, you need 'SELECT privilege on the view itself and USAGE privilege on the schema containing the view. 'APPLICATION' schema is the automatically generated schema, and should be used. Option A is incorrect because the USAGE privilege should be granted on the schema, not the database. Option C is incorrect because the USAGE privilege is needed on the schema, not just the database. Option D is incorrect because granting ALL PRIVILEGES is generally not a best practice for security and not needed. Option E is incorrect because you must grant usage on the Schema.

NEW QUESTION # 19
You are developing a Snowflake Native Application that integrates with an external API to enrich data within the consumer's account. You need to design the setup script to handle API credentials securely and ensure that consumers can configure their own API keys. Which of the following methods is the MOST secure and recommended approach for managing API credentials within a Snowflake Native Application?

A. Hardcode the API credentials directly into the setup script and distribute them to consumers.
B. Store the API credentials as environment variables within the application's deployment environment.
C. Encrypt the API credentials using a simple symmetric key and include the decryption key in the setup script.
D. Use Snowflake's secret management capabilities (e.g., SECRETS feature) to store the API credentials securely, allowing consumers to create and manage their own secrets and reference them within the application.
E. Store the API credentials in a publicly accessible stage and instruct consumers to download and configure them manually.

Answer: D

Explanation:
Using Snowflake's secret management capabilities (C) provides the most secure way to store and manage API credentials. This allows consumers to control their own credentials and prevent them from being exposed in the application code. Hardcoding credentials (A) is a major security risk. Storing credentials in a publicly accessible stage (B) is also insecure. Storing them as environment variables (D) might not be persistent. Encrypting with a symmetric key included in the setup script (E) does not provide adequate security as the decryption key is readily available.

NEW QUESTION # 20
You are developing a Snowflake Native Application that uses a UDF to process data in the consumer's account. The UDF needs to access a specific table in the consumer's account but the UDF is running as Invoker's Rights (IR). Select all that apply to securely configure data access for this scenario using a data access framework and least privilege principles:

A. Grant 'SELECT privilege on the specific table to the application's service user role. Configure the UDF to run as OWNER, and use 'EXECUTE AS OWNER.
B. Grant 'SELECT privilege on the specific table directly to the application's invoker role.
C. Create an API integration that enables the UDF to securely authenticate and access the data through an external service.
D. Create a stored procedure running as OWNER, grant necessary privileges, then call this SP from UDF running as Invoker.
E. Create a secure view that exposes only the necessary columns of the table, granting 'SELECT privilege on the secure view to the application's invoker role. Configure the UDF to select from this secure view.

Answer: D,E

Explanation:
Options B and E are correct. Option B implements the data access framework with least privilege using secure views. Granting direct SELECT access (Option C) to the table to the invoker role is not recommended because it exposes the entire table and it will not work as IR UDF cannot directly access consumer data. Using external services(Option D) is an option, but not the most efficient for accessing local data. Option A won't work directly without proper data access framework as it is. Data access framework will solve this issue. Using an intermediate SP as OWNER called by the UDF as INVOKER is a valid approach.

NEW QUESTION # 21
You are developing a Snowflake Native Application that includes a Python UDE This UDF needs to interact with an external API that requires authentication using OAuth 2.0. The application package should securely manage the OAuth credentials without exposing them to the consumer account. How can you securely configure and access the OAuth credentials from within the UDF?

A. Store the OAuth credentials in a secure external storage (e.g., AWS Secrets Manager) and retrieve them using an external function.
B. Store the OAuth client ID and secret directly in the UDF code as string literals.
C. Store the OAuth client ID and secret in environment variables within the Snowflake environment for the application.
D. Use Snowflake's secret management feature to store the OAuth client ID and secret, and access them from the UDF using 'SYSTEM$GET SECRET.
E. Configure an OAuth integration in Snowflake and grant the UDF's role access to it, allowing the UDF to obtain tokens using 'SYSTEM$GET OAUTH TOKEN'.

Answer: D,E

Explanation:
Storing credentials directly in the code (A) is a major security risk. Environment variables in Snowflake (B) are not designed for sensitive credentials. Snowflake's secret management (C) provides a secure way to store and access secrets. Using an external storage with an external function (D) is a viable option but adds complexity. OAuth integration (E) allows Snowflake to handle the OAuth flow, providing secure token management. Therefore, C and E provide the most secure and manageable solutions.

NEW QUESTION # 22
You're building a Streamlit application within a Snowflake Native App that uses the Permissions API (hypothetical) to control access to sensitive dat a. Your security team has mandated that any changes to data access privileges must be audited. How can you effectively log all privilege grant and revoke operations performed via the Permissions API within your Streamlit application running inside Snowflake, assuming you are given the hypothetical 'PermissionsClient' and methods as below?

A. Implement a custom logging function that captures the API calls and their parameters. Use a try-except block around each API call, logging the details to a separate audit table in Snowflake, and pushing logs to external SIEM tools.
B. Leverage Snowflake's built-in 'QUERY _ HISTORY' view to track all SQL commands executed by the Streamlit application. Filter for 'GRANT and 'REVOKE statements to identify privilege changes. Replicate to external storage for retention.
C. Use Snowflake's native logging capabilities in the application's setup script, logging directly to the Snowflake event log. However, these logs may require a system administrator to interpret and extract.
D. Configure Snowflake's event tables for security to track privilege grants and revokes. Create a Streamlit function that fetches and displays these audit events within the application's admin panel. Push data into separate staging area.
E. Rely solely on the Permissions API's built-in audit trails, assuming it automatically logs all operations to a system table accessible only by Snowflake administrators.

Answer: A

Explanation:
Option A is the most comprehensive approach. It provides the most flexibility and control. By implementing a custom logging function, you can capture the specific details of each API call (including parameters), handle exceptions, and store the audit logs in a dedicated table within Snowflake. This table can then be easily queried, reported on, or integrated with external SIEM (Security Information and Event Management) tools for further analysis and alerting. Option B could be part of the solution, but filtering the QUERY_HISTORY table may not capture all details, especially if using stored procedures. It requires parsing SQL text, which can be brittle. Option C could work for some audit events, but you'd still need to create and manage a process to send these events to an audit log. Option D has limited granularity and security. Relying on Snowflake's native logs provides little control. Option E is incorrect; the hypothetical Permissions API doesn't automatically log actions to a user-accessible system table.

NEW QUESTION # 23
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