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Snowflake NAS-C01 Exam Syllabus Topics:

Section	Weight	Objectives
Snowflake Native App Framework Overview	20%	- Understand Snowflake architecture, features, tools, and best practices 1. Data sharing and protection mechanisms 2. Cloud-based computing and storage concepts 3. Account security and access management
Snowflake Native Applications Design and Creation	35%	- Create and manage billing events and cost monitoring techniques 1. Formulate Snowflake native application workflows and procedures - Apply Snowflake best practices while building native application workloads 1. Design scalable applications 2. Build, distribute, and monetize apps in Snowflake
Snowflake Native Applications Installation and Testing	20%	- Install and test native applications 1. Validate application functionality and performance
Snowflake Native Applications Deployment	25%	- Build, version, and release native applications 1. Use Snowflake's marketplace 2. Use data sharing for app interoperability

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Snowflake SnowPro Specialty - Native Apps Sample Questions (Q167-Q172):

NEW QUESTION # 167
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. Configure an OAuth integration in Snowflake and grant the UDF's role access to it, allowing the UDF to obtain tokens using 'SYSTEM$GET OAUTH TOKEN'.
B. Use Snowflake's secret management feature to store the OAuth client ID and secret, and access them from the UDF using 'SYSTEM$GET SECRET.
C. Store the OAuth client ID and secret directly in the UDF code as string literals.
D. Store the OAuth credentials in a secure external storage (e.g., AWS Secrets Manager) and retrieve them using an external function.
E. Store the OAuth client ID and secret in environment variables within the Snowflake environment for the application.

Answer: A,B

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 # 168
You are designing a Streamlit application within a Snowflake Native App package. This application displays data from a customer's Snowflake account. The application needs to enforce strict data governance policies, ensuring that users only see the data they are authorized to view based on their roles and permissions within the customer's account. Which strategies and Snowflake features should be employed to achieve this?

A. Use external tables to fetch the data.
B. Leverage Snowflake's row access policies to automatically filter data based on the user's role and context at the database level.
C. Use Snowflake's masking policies to redact sensitive data based on the user's role and context at the database level.
D. Create separate Streamlit applications for each user role, each with its own data access configuration.
E. Implement row-level security policies directly within the Streamlit application using Python code to filter the data.

Answer: B,C

Explanation:
Row access policies (B) are the recommended approach for implementing row-level security in Snowflake, as they are applied at the database level and ensure consistent enforcement regardless of the application accessing the data. Masking policies (D) are crucial for redacting sensitive information based on user roles. Implementing data filtering within the Streamlit application (A) is less secure and harder to maintain. Creating separate applications for each role (C) is inefficient and not scalable. External tables are for accessing data outside of Snowflake not controlling access to existing data.

NEW QUESTION # 169
A Snowflake Native Application is being developed. The application requires access to a third-party API to enrich dat a. To securely store the API key, the developer plans to use a Secret object within Snowflake. Which of the following steps are necessary to grant the application, specifically an application role named 'data_processor' , the ability to read this Secret object? (Choose three)

A. The 'data_processor' application role automatically inherits privileges for accessing Secrets defined within the application package.
B. Grant the READ privilege on the Secret object to the 'data_processor' application role.
C. Grant the USAGE privilege on the secret object to the 'APPLICATION PACKAGE.
D. Grant the OWNERSHIP privilege on the Secret object to the 'data_processor' application role.
E. Grant the USAGE privilege on the Secret object to the 'data_processor' application role.

Answer: B,E

Explanation:
To allow an application role to access a Secret object, you must explicitly grant the READ privilege on the secret to that application role. Additionally, you must also explicitly grant the USAGE privilege on the secret to that application role. OWNERSHIP grants all privileges and is not necessary in this scenario. Granting privileges to the APPLICATION PACKAGE only allows those privileges to be granted to application roles, not directly used by the application.

NEW QUESTION # 170
Your Snowflake Native Application uses a combination of stored procedures and UDFs. You've implemented robust logging within your application to track usage and potential errors. You want to grant a Snowflake support engineer temporary access to these logs for troubleshooting purposes, minimizing the risk of exposing sensitive consumer dat a. Select the two statements below that describe best practices to ensure security and efficiency.

A. Implement row-level security (RLS) policies on the logging table to restrict access based on the support engineer's role.
B. Grant the support engineer OWNERSHIP of the database containing the logging tables. This allows them full access for troubleshooting.
C. Use a temporary table to copy the relevant log data, mask sensitive information using 'MASKING POLICY or 'ANONYMIZATION' and grant the support engineer SELECT access to the temporary table. Schedule the table to drop automatically after a short period (e.g. 24 hours).
D. Create a new user role specifically for support and grant this role SELECT privileges on the logging tables without any filtering.
E. Create a dedicated view on the logging table that filters out sensitive data (e.g., PII) and grant the support engineer SELECT privileges on this view.

Answer: C,E

Explanation:
Options A and D are the most secure and efficient methods. Option A creates a restricted view, limiting the data the engineer can see. Option D uses masking and temporary tables to provide access to anonymized data for a limited time. Granting ownership (B) provides excessive permissions. RLS (C) is valid, but more complex for temporary access. The best practice is to avoid granting access directly to raw data or granting unnecessary privileges. Option E lacks security considerations by granting direct access to raw unfiltered data.

NEW QUESTION # 171
A data science team is developing a Native App on Snowflake that requires access to data from multiple customer accounts (Reader Accounts). They need to ensure strict data governance and minimize the risk of data leakage. Which of the following approaches provides the MOST secure and scalable solution for accessing and managing this cross-account data?

A. Implement a data access service within the Native App that uses external functions to query data from consumer accounts, relying on network policies for security.
B. Create a shared database from each consumer account containing views over the required tables, granting SELECT privileges on these views to the application role.
C. Package the data extraction logic directly into the Native App using User-Defined Functions (UDFs) that establish secure connections to each consumer account using separate credentials stored securely within the application package.
D. Grant SELECT privileges directly to the application role on all relevant tables in the consumer accounts.
E. Utilize secure data sharing with data clean rooms, exposing the required datasets via views on each data clean room.

Answer: E

Explanation:
Secure data sharing provides the MOST secure and scalable solution. Data clean rooms add governance, limiting what data can be exposed, and simplifying setup. Options A and B expose data without fine-grained control; Option C introduces complexities with external function setup and network policies; Option D raises security concerns by managing consumer credentials within the application.

NEW QUESTION # 172
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