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| Section | Weight | Objectives |
|---|
| Advanced Features & Management | 20% | - Governance and compliance - Billing events and cost monitoring - Event logging and telemetry - Integration with Snowpark and external services
|
| Application Deployment & Distribution | 25% | - Versioning and release management - Listing types and monetization - Upgrades and lifecycle management - Publishing to Snowflake Marketplace
|
| Application Design & Creation | 35% | - Manifest files and configuration - Native App Framework architecture - Security and access control - Setup scripts and application logic - Application packages and objects
|
| Application Installation & Testing | 20% | - Testing strategies and validation - Debugging and troubleshooting - Provider and consumer workflows - Installation procedures and dependencies
|
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Snowflake SnowPro Specialty - Native Apps Sample Questions (Q195-Q200):
NEW QUESTION # 195
You're developing a Snowflake Native App with a Streamlit I-Jl. The app needs to read configuration data from a file named within your application package. The file contains sensitive information, and you want to ensure it's only accessible by your application's code and not directly readable by the consumer. What steps would you take to accomplish this?
- A. Store 'config.json' in a table within your application's schema and grant the 'SELECT' privilege on the table to the consumer's role.
- B. Store 'config.json' within the Streamlit code, and then encode and decode it to the original string when the user invokes the Streamlit application.
- C. Store 'configjson' outside the application package and read it directly from an external stage at runtime.
- D. Store 'config.json' within the application package and read it using Python code within a stored procedure. Grant appropriate privileges on the stored procedure, but not on the 'config.json' file or the internal stage.
- E. Store 'config.json' in an internal stage and grant the 'READ' privilege on the stage to the consumer's role.
Answer: D
Explanation:
The best approach is to store the 'config.json' file within the application package and access it using Python code within a stored procedure. By granting privileges only on the stored procedure and not on the 'config.json' file itself or the internal stage, you ensure that the consumer cannot directly read the configuration data. Option A exposes it directly to the consumer. Option C would need to be encrypted, which adds complexity. Option D means the configuration is outside your application package. Option E is simply obfuscation and not encryption and hence should be avoided.
NEW QUESTION # 196
You are developing a Snowflake Native App that utilizes Streamlit for its user interface. You want to control the app's behavior based on whether it's running in a development environment within your provider account or in a consumer account after installation. Which of the following methods can you use within your 'streamlit.py' to determine the current execution context (Provider vs. Consumer) reliably?
- A. Query the view. Presence in this view indicates a provider environment.
- B. Read an environment variable set during the application installation process by the consumer.
- C. Use which is a function specifically designed to check if the app is running in a consumer account.
- D. Examine the session context function 'CURRENT ACCOUNT()' function and compare it with the provider account identifier, if matches then it is a provider. It is the best method.
Answer: D
Explanation:
Using session context function such as and comparison with the provider account identifier is the most reliable way to determine if the app is running in the provider account. does not exist, and querying INFORMATION_SCHEMA.APPLICATIONS is designed for a different purpose.
NEW QUESTION # 197
You are developing a Snowflake Native Application that utilizes the 'APPLICATION ROLE' within a secure data sharing context. The application needs to perform different actions based on the role assigned to the user accessing the shared dat a. Consider the following code snippet in a stored procedure:

Which of the following modifications is necessary for the stored procedure to correctly utilize the 'APPLICATION ROLE and function as intended within the context of a Snowflake Native Application and a share?
- A.

- B.

- C. No modification is needed. The function will automatically return the active 'APPLICATION_ROLE' within the share.
- D.

- E.

Answer: D
Explanation:
Option D is correct. The 'CURRENT ROLE()' function returns the primary role of the user, not necessarily the active 'APPLICATION_ROLE. To accurately determine the active , you must use The other options are not relevant to identifying the active application role. Calling SNOWFLAKE.PLATFORM INFO.GET APPLICATION ROLE() may provide some information, but it is preferable to call CURRENT_APPLICATION_ROLE().
NEW QUESTION # 198
You've built a Snowflake Native Application that processes data and exposes a set of stored procedures to the consumer. You're implementing a CI/CD pipeline using GitLab CI/CD for deploying updates. Your pipeline includes the following stages: linting, unit testing, integration testing, and deployment to a staging environment. During the integration testing stage, you want to verify that the exposed stored procedures function correctly against a representative dataset. What is the MOST effective approach for performing these integration tests?
- A. Mock the Snowflake environment entirely within the GitLab CI/CD runner and execute the stored procedures against the mock environment. This eliminates the need for a live Snowflake connection during testing.
- B. Provision a dedicated Snowflake testing account with a representative dataset. Install the application version in this account and execute the stored procedures from within the account using Snowflake's SQL API or a Snowpark Python test framework.
- C. Use the application's setup script to automatically create a test database populated with sample data when the application is installed. Integration tests can then run queries in this database to ensure the application functions correctly.
- D. Execute the stored procedures directly from the GitLab CIICD runner using a Snowflake connection established with hardcoded credentials in the CI/CD configuration.
- E. Create a separate set of stored procedures within the application package specifically for testing purposes. These procedures should mimic the functionality of the production stored procedures and assert their behavior.
Answer: B
Explanation:
Option C is the MOST effective. It closely simulates the production environment by installing the application in a dedicated testing account with a representative dataset. This allows for realistic integration tests that verify the stored procedures' functionality. Option A is insecure due to hardcoded credentials. Option B is redundant and might not accurately reflect the behavior of the production stored procedures. Option D is difficult to implement accurately and might not catch all potential issues. Option E, while helpful for initial testing, doesn't provide the same level of confidence as testing against a fully installed application in a dedicated account.
NEW QUESTION # 199
You are developing a Snowflake Native Application that processes customer orders. The application needs to securely store sensitive customer data (e.g., credit card numbers) within the provider's account but must grant the consumer's account access to analyze aggregated, de-identified order statistics. Which combination of features is BEST suited to achieve this while adhering to security best practices and Snowflake Native App constraints?
- A. Store sensitive data in an internal stage within the provider account. Create a stored procedure that reads data from the stage, aggregates and de-identifies it, and writes the results to a shareable table. The consumer application can query the shareable table.
- B. Store sensitive data in a table within the provider account. Use dynamic data masking policies to de-identify the data when accessed by the consumer account. Share the underlying table directly with the consumer account through a share.
- C. Store sensitive data in a table within the provider account. Create a user-defined function (UDF) that aggregates and de-identifies the data. Share the table and the UDF with the consumer account through a share. The consumer application can then use the UDF to query the data.
- D. Store sensitive data in a secured view within the provider account. Grant the consumer account usage privileges on this secured view. Create a setup script using 'CREATE APPLICATION ROLE and 'GRANT to give the consumer's application role access to the secured view.
- E. Store sensitive data in a table within the provider account. Create a stored procedure that aggregates and de-identifies the data, writing the results to a new table. Share this new, aggregated table with the consumer account via a data share.
Answer: E
Explanation:
Option C is best. Storing sensitive data in the provider account and then sharing only the aggregated, de-identified data is the most secure approach. Using a stored procedure isolates the sensitive data processing and ensures only the intended output is shared. Options A and D expose sensitive data directly or indirectly through secured views/masking which are less secure. Option B uses an internal stage unnecessarily. Option E is less secure since it shares direct table access and consumer needs to call the UDF for aggregation.
NEW QUESTION # 200
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