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Snowflake SnowPro Specialty - Native Apps Sample Questions (Q107-Q112):

NEW QUESTION # 107
A Native App provider wants to implement comprehensive monitoring of their application's behavior within consumer accounts. They decide to use Event Tables to capture various application events. Which of the following strategies is the MOST appropriate for designing and managing Event Tables for this purpose? Select ALL that apply.

A. Create separate Event Tables for each distinct event type, with columns tailored to the specific data associated with each event.
B. Use a centralized Event Table that is shared across all consumer accounts to simplify data aggregation and analysis.
C. Implement a data retention policy to automatically purge older events from the Event Tables, minimizing storage costs and improving query performance.
D. Create a single, generic Event Table with a VARIANT column for event-specific data to accommodate all event types.
E. Utilize dynamic table creation based on the type of event being recorded, ensuring optimal storage and query performance for each event type. Dynamic table creation is managed programmatically.

Answer: A,C,E

Explanation:
Option B is correct because creating separate Event Tables tailored to specific event types allows for better data organization, efficient querying, and optimized storage. Option D is correct because implementing a data retention policy is crucial for managing the size of Event Tables and preventing excessive storage costs. Option E is correct, using dynamic table creation based on event type optimizes both storage and query execution by having a dedicated table structure for each type of event. Option A, using a single generic table with a VARIANT column, can lead to inefficient querying and difficulties in data analysis. Option C is generally incorrect; Event Tables are typically scoped to the application instance within each consumer account for security and data isolation reasons. Sharing a centralized table across all consumer accounts would raise significant security and governance concerns.

NEW QUESTION # 108
A company is developing a Snowflake Native Application that will be distributed through the Snowflake Marketplace. The application uses internal stages to store intermediate data processing results. Which of the following methods is the MOST secure and recommended way to manage the application's internal stages?

A. Create an external stage in AWS S3 or Azure Blob Storage and grant access to the application database role.
B. Create an internal stage owned by the ACCOUNTADMIN role and grant usage to the application database role.
C. Create an internal stage owned by a custom role created specifically for stage management within the application, granting only necessary permissions.
D. Create an internal stage owned by the application database role. The application framework automatically grants necessary permissions.
E. Create an internal stage owned by the application database role and grant usage to all roles within the application.

Answer: C

Explanation:
Creating a custom role specifically for stage management and granting only the necessary permissions (such as READ and WRITE) follows the principle of least privilege and enhances security. The ACCOUNTADMIN role is overly privileged. Relying on the application framework to automatically grant permissions may not provide sufficient control. External stages introduce dependencies and require managing external credentials. The database role may not be granular enough; a dedicated role is more secure.

NEW QUESTION # 109
You are developing a Snowflake Native Application that uses Streamlit to provide a user interface for data analysts. The application accesses sensitive customer data residing in a managed database. To enhance security, you want to implement row-level security (RLS) based on the user's role. You have the following Streamlit code snippet:

Which of the following actions should you take to implement RLS in the Snowflake Native App, ensuring only authorized users can view specific rows of 'customer_data'? Assume the already contains necessary credentials. Choose the most secure and efficient method.

A. Use Snowflake's masking policies combined with a secure view. The masking policy reveals data based on the user's role. Grant the Streamlit application's role access to the secure view.
B. Implement a custom Python decorator that checks user roles before executing the 'get_data' function. Raise an exception if the user lacks the necessary role.
C. Create a secure view in Snowflake that implements RLS based on the role of the user executing the query. Grant the Streamlit user access to this view instead of the base table, and modify the 'get_data' function to query the view.
D. Implement RLS directly within the Streamlit application by filtering the 'data' DataFrame based on the user's role before displaying it using 'st.dataframe'. Store user roles in a separate table and fetch them using a different database connection.
E. Modify the SQL query within the 'get_data' function to include a 'WHERE clause that filters data based on the current Streamlit user's username obtained using 'st.session_state.user.username' .

Answer: A

Explanation:
Using Snowflake's masking policies and secure views is the most secure and efficient method. It centralizes RLS within Snowflake, leveraging its security features. Option A is vulnerable to SQL injection if 'st.session_state.user.username' is not properly sanitized. Option B is better, but masking policies provide more granular control and data obfuscation. Option C pushes security logic to the application layer, which is less secure. Option E adds unnecessary complexity and overhead.

NEW QUESTION # 110
You are developing a Snowflake Native Application designed to be deployed by various consumers from the Snowflake Marketplace. The application interacts with user-provided data through secure UDFs and external functions. To ensure minimal impact and prevent unintended data access, how should you configure the application's security context and privileges when creating the application package?

A. Define roles within the application and grant 'USAGE' on all schemas and 'SELECT on all tables to these roles.
B. Grant 'ALL PRIVILEGES on the database containing consumer data to the application role.
C. Create a separate application role with minimal privileges, and grant only 'USAGES on the database and 'EXECUTE' on the relevant functions to that role. Use 'CALL to grant USAGE on the share.
D. Grant OWNERSHIP privilege on all schemas and tables to the application's service account.
E. Use the 'CALL APPLICATION.API GRANT PRIVILEGE command, and grant only the 'USAGE privilege on the shared database containing consumer data, along with the ' EXECUTE privilege on the UDFs and external functions.

Answer: C

Explanation:
The best practice for securing Native Applications is to follow the principle of least privilege. Granting 'OWNERSHIP' or 'ALL PRIVILEGES' (A, D) is far too permissive and poses a significant security risk. While creating roles within the application (C) offers some control, it doesn't leverage the explicit privilege granting mechanism designed for Native Apps. Option B is partially correct but incomplete. Option E is the most secure and correct approach. It uses a dedicated application role with minimal required privileges CUSAGE on database, 'EXECUTE on UDFs/external functions) and 'CALL to grant 'USAGE' on the data share provided by the consumer, ensuring that the application can only access the explicitly shared data and execute the intended functions.

NEW QUESTION # 111
Within a Snowflake Native Application, you need to implement a feature that is only available in the latest version of the application, and the usage of that feature needs to be tracked. How would you accomplish this within the application code, considering that you want to avoid exposing internal details about version numbers directly to the consumer?

A. Use Snowflake's Resource Monitors to track resource usage by different versions of the application.
B. Implement a UDF (User-Defined Function) that checks the application version and returns a flag indicating whether the feature is available. Use this flag in SQL queries to conditionally enable the feature and track its usage.
C. Rely on the consumer to explicitly enable the feature through a configuration parameter, then log the feature's usage.
D. Use the 'APPLICATION$VERSION' function within a stored procedure to conditionally enable the feature and log the usage to a separate table. Make sure the logs are maintained within the producer account.
E. Create a separate role that is only granted to users of the latest version, and use this role to control access to the feature. Use a view to abstract the role requirement.

Answer: D

Explanation:
The correct answer is (A). Using 'APPLICATION$VERSION' within a stored procedure allows you to conditionally enable the feature based on the application version. Logging the usage to a separate table (within the producer account) provides valuable insights into feature adoption without exposing version details to the consumer. Resource monitors (D) track resource consumption but not specific feature usage. Roles (B) can control access but don't directly provide usage tracking. Option E relies too much on consumer action. While UDFs (C) can check the version, doing so in SQL queries for conditional enabling might not be the most performant or maintainable approach. All logs should be captured within Producer account.

NEW QUESTION # 112
......

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Reliable NAS-C01 Exam Materials & Book NAS-C01 Free

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2026 Reliable NAS-C01 Exam Materials - Snowflake SnowPro Specialty - Native Apps - High-quality Book NAS-C01 Free

Snowflake SnowPro Specialty - Native Apps Sample Questions (Q107-Q112):

2026 Reliable NAS-C01 Exam Materials | Accurate SnowPro Specialty - Native Apps 100% Free Book Free

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