NAS-C01 Practice Exams | Valid NAS-C01 Test Guide

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Snowflake NAS-C01 Exam Syllabus Topics:

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

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Free PDF Quiz 2026 Snowflake NAS-C01: SnowPro Specialty - Native Apps – The Best Practice Exams

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Snowflake SnowPro Specialty - Native Apps Sample Questions (Q352-Q357):

NEW QUESTION # 352
A Snowflake Native Application developer is debugging a privilege issue in the consumer's account. They suspect that a specific application role, 'app_admin' , does not have the necessary privileges to execute a stored procedure 'calculate_summary' within the application. Which of the following SQL statements will BEST help the developer diagnose the problem by listing the privileges granted to the 'app_admin' role? (Assume exists within the application.)

A. SELECT FROM WHERE grantee_name = 'APP_ADMIN';
B. SHOW GRANTS OF APPLICATION ROLE app_admin;
C. SHOW GRANTS TO ROLE app_admin;
D. SHOW GRANTS TO APPLICATION app_admin;
E. SHOW GRANTS ON STORED PROCEDURE calculate_summary TO APPLICATION ROLE app_admin;

Answer: B

Explanation:
'SHOW GRANTS OF APPLICATION ROLE is the specific syntax used to view the privileges granted to an application role within a Snowflake Native Application. "SHOW GRANTS TO ROLE app_admin' would look for a regular role named app_admin, not an application role. The SNOWFLAKE.ACCOUNT_USAGE views don't know about application roles and can only return data about 'regular' Snowflake roles.

NEW QUESTION # 353
You're developing a Snowflake Native Application that performs complex data transformations within the consumer's account. These transformations require substantial compute resources. You want to optimize resource utilization and minimize cost for your consumers.
Which strategies can you employ to achieve this goal? (Select TWO)

A. Force consumers to use the largest possible virtual warehouse size to ensure transformations complete quickly.
B. Implement data skipping techniques to minimize the amount of data scanned during transformations. This involves clustering tables appropriately.
C. Utilize Snowflake's auto-suspend and auto-resume features for virtual warehouses to minimize compute costs when the application is idle.
D. Implement dynamic scaling by programmatically adjusting the virtual warehouse size based on the workload using stored procedures and the function to cancel long running and inefficient tasks.
E. Do not use transactions for data transformation pipelines as transactions introduce overhead.

Answer: B,C

Explanation:
Snowflake's auto-suspend and auto-resume features (C) automatically suspend the virtual warehouse when it's idle and resume it when needed, minimizing compute costs. Data skipping techniques (D), such as clustering tables, reduce the amount of data scanned, which directly impacts compute cost. Option A is incorrect because forcing consumers to use the largest warehouse is not cost- effective. Option B is not a standard feature and might not be efficient. Option E is incorrect as transactions ensure data integrity, which is usually a paramount requirement.

NEW QUESTION # 354
You're developing a Snowflake Native Application and want to control access to different features based on roles. You have a Streamlit application that displays sensitive data, and you only want users with the 'DATA ANALYST and 'ADMIN' roles to be able to view this dat a. Which of the following methods or a combination of methods are MOST appropriate for enforcing this role-based access control within your Streamlit application and the underlying Snowflake resources?

A. Within the Streamlit application, use the function to check for a URL parameter containing the user's role. If the role matches or 'ADMIN', display the data; otherwise, display an error message. Grant 'SELECT' privilege on the underlying data tables to the DATA ANALYST and 'ADMIN' roles directly.
B. Create a stored procedure that checks the user's role using 'CURRENT and returns the requested data only if the role matches or ' ADMIN'. Call this stored procedure from your Streamlit application. Do not grant any direct privileges on the underlying tables to the 'DATA_ANALYST or 'ADMIN' roles. Set the 'EXECUTE AS CALLER property on the stored procedure.
C. Create a custom python module that checks if the user's role matches "DATA_ANALYST or 'ADMIN' and configure it for role based access control.
D. Within the Streamlit application, use 'snowflake.connector' to execute 'SELECT and check if the returned role matches DATA ANALYST or 'ADMIN'. If so, display the data; otherwise, display an error message. Grant USAGE' privilege on a custom role, and grant 'SELECT on the underlying tables and USAGE on the schema to that custom role. Finally grant the 'DATA_ANALYST and 'ADMIN' roles to this custom role.
E. Implement row-level security (RLS) policies on the underlying tables to filter data based on the user's role. Then, within the Streamlit application, simply display the data without any explicit role checks. The RLS policies will automatically ensure that users only see the data they are authorized to see. Grant 'SELECT privilege on the underlying data tables to the 'DATA ANALYST and 'ADMIN' roles directly.

Answer: B,E

Explanation:
The MOST appropriate methods are C and D. Option C: Using a stored procedure with 'EXECUTE AS CALLER and role checks provides a robust and secure way to control data access. The stored procedure acts as a gatekeeper, ensuring that only authorized roles can retrieve the data. Option D: Implementing row-level security (RLS) adds an additional layer of security by filtering data at the database level based on the user's role. This ensures that even if a user were to bypass the Streamlit application's role checks, they would still only be able to see the data they are authorized to see. Option A is susceptible to tampering and does not enforce data-level security. Option B requires an added level of complexity with an extra custom role and is unnecessary. Option E does not secure at the database level.

NEW QUESTION # 355
A Snowflake Native Application uses a task 'aggregate_data' to aggregate dat a. This task is owned by the 'app_public' role and executes a stored procedure 'aggregate data proc'. Consumers have reported the task sometimes fails intermittently, citing permission issues, specifically related to accessing a specific table in the consumer account. The application provider has granted 'SELECT' privilege on the table to the 'app_public' role. However, the failures persist. What is the MOST LIKELY cause of the intermittent failures related to executing the task?

A. The stored procedure is executed with caller's rights (CALLER), but the application role 'app_public' doesn't have sufficient warehouse privileges in the consumer account.
B. The task 'aggregate_data' is executing with definer's rights (OWNER) of the application, so the grant of SELECT privilege to 'app_public' is sufficient, and there is likely an issue with transient network connectivity.
C. The stored procedure is executed with caller's rights (CALLER), but the application role 'app_public' doesn't have the ACTIVATION privilege on the task.
D. The stored procedure is executed with caller's rights (CALLER), and the 'EXECUTE TASK privilege wasn't granted correctly, which causes the user to randomly lose access on the Snowflake Ul.
E. The stored procedure is executed with definer's rights (OWNER), so the privilege check occurs against the application provider's account, not the consumer's account.

Answer: E

NEW QUESTION # 356
You are developing a Snowflake Native Application that requires fine-grained control over data access for its users. You plan to use Streamlit within the application and leverage the Permissions API to manage these privileges. Assume you have successfully established a connection to Snowflake within your Streamlit app. Which of the following code snippets accurately demonstrate how to grant the 'SELECT privilege on a table named 'APP DATA in the application's schema to a specific role, 'APP USER, using the Permissions API, and then verify if that privilege has been granted?

Answer: E

Explanation:
Option E is correct because it accurately grants the SELECT privilege and then uses the 'SHOW GRANTS TO ROLE' command to verify the privilege. It also includes a check to ensure the schema, table, and privilege all match the expected values, handling upper/lower case variations. Option A is similar, but has inconsistent index access in the SHOW GRANT results, and its check might be too strict by requiring the role to match. Option B incorrectly accesses the results of SHOW GRANTS, checking the wrong indices. Option C mentions a hypothetical PermissionsClient which is NOT available in Snowflake. The Permissions API does not have 'grant_select' or 'check_privilege' methods like that. Option D uses INFORMATION_SCHEMA which is less reliable in the context of Snowflake Native Applications. The table name case-sensitivity matters with INFORMATION SCHEMA. The Information Schema is dependent on the privileges of the session role.

NEW QUESTION # 357
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