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| Section | Weight | Objectives |
|---|
| Deployment and Marketplace Publishing | 25% | - Distribution and lifecycle management
- 1. Version upgrades and release management
- 2. Marketplace listings and publishing
|
| Native Application Design and Creation | 35% | - Application development workflow
- 1. Application roles and privileges
- 2. Building and versioning applications
|
| Snowflake Native App Framework Overview | 20% | - Native application concepts and architecture
- 1. Manifest files and setup scripts
- 2. Application packages and structure
|
| Installation, Testing and Troubleshooting | 20% | - Validation and debugging
- 1. Logging and event tables
- 2. Tracing and troubleshooting workflows
|
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Snowflake SnowPro Specialty - Native Apps Sample Questions (Q292-Q297):
NEW QUESTION # 292
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. 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.
- 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. 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' .
- D. 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.
- E. 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.
Answer: D
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 # 293
You are developing a Snowflake Native Application that needs to be deployed across multiple consumer accounts. The application relies on a secure external function (SEF) for real-time data enrichment. The SEF interacts with a third-party API secured with OAuth 2.0. What are the MOST important considerations when designing the setup script for this application to ensure seamless deployment and security in the consumer accounts?
- A. The setup script should explicitly create a new API integration with the consumer's credentials, separate from the provider's account. Consumer will manually update credentials.
- B. The setup script should create an API integration referencing a secret object in the consumer account, allowing the consumer to inject their own credentials post- installation.
- C. The setup script should pre-configure the API integration in the provider account and securely share the credentials with consumer accounts during the installation process.
- D. The setup script should include instructions for the consumer to manually create and configure the API integration using their own OAuth 2.0 credentials after the application is installed.
- E. The setup script should attempt to automatically create the API integration using the provider's credentials, but gracefully handle failures if the consumer's account lacks necessary privileges.
Answer: B,D
Explanation:
Options C and E are the most secure and practical. Option C gives the consumer full control of the OAuth credentials. Option E uses secure secret objects, providing a way for consumers to inject their credentials post-installation without exposing them directly in the setup script, adhering to the principle of least privilege and enhancing security. Options A and B represent poor security practice. Option D is unreliable.
NEW QUESTION # 294
You are designing a Snowflake Native App that includes a managed task. This managed task updates several tables in a secured schema within the consumer account. To comply with strict security requirements, you need to minimize the privileges granted to the application role while ensuring the managed task executes successfully. Which combination of privileges is absolutely necessary for the application role to successfully execute the managed task and update the tables in the secured schema, assuming the application role already has USAGE on the database and schema?
- A. EXECUTE MANAGED TASK, OWNERSHIP on the secured schema.
- B. EXECUTE MANAGED TASK, SELECT, INSERT, UPDATE, DELETE on the tables AND MODIFY on the schema.
- C. EXECUTE MANAGED TASK, SELECT, INSERT, UPDATE, DELETE on the tables.
- D. EXECUTE MANAGED TASK, MODIFY on the secured schema.
- E. EXECUTE MANAGED TASK, OWNERSHIP on the tables.
Answer: B
Explanation:
Option D represents the minimum necessary privileges. 'EXECUTE MANAGED TASK' allows the application to run the managed task. 'SELECT , 'INSERT, 'UPDATE', and 'DELETE are required to perform data manipulation operations on the tables. 'MODIFY on the schema allows the application to modify objects within the schema, which is required for updating tables. OWNERSHIP grants excessive privileges and is not required for simply updating data. MODIFY on the schema alone is insufficient without the data manipulation privileges on the table.
NEW QUESTION # 295
A Snowflake Native Application provider is deploying their application in multiple regions (AWS US-East-l and AWS EU-Central-l). The application relies on external functions that interact with a third-party API. The provider wants to optimize for both latency and cost while ensuring high availability. Which of the following strategies represents the MOST effective approach for configuring and deploying these external functions to meet these requirements? Select two.
- A. Configure a global load balancer in front of the third-party API endpoints and point all external functions to the load balancer's endpoint. This allows the load balancer to route requests to the closest available API endpoint.
- B. Utilize Snowflake's cross-region replication feature to automatically replicate the external functions between regions. This ensures that the functions are always available in both regions.
- C. Deploy separate external functions in each region, pointing to API endpoints hosted in the respective regions. Configure each external function with the same security integration to simplify access management.
- D. Create a single external function that uses a conditional statement to route requests to different API endpoints based on the Snowflake region where the function is being called. This approach reduces management overhead.
- E. Host the external function code directly within the Snowflake application package and leverage Snowflake's serverless compute to execute the function logic without relying on external APIs.
Answer: A,C
Explanation:
Options B and D are the most effective. Deploying separate external functions in each region (B) allows for regional optimization, reducing latency by calling API endpoints hosted in the same region. Configuring the same security integration simplifies access management. Using a global load balancer (D) adds another layer of resilience and allows for dynamic routing to the closest available API endpoint, improving availability and potentially reducing costs. Option A could introduce latency due to conditional logic and potentially suboptimal routing. Option C is not applicable as external functions are not replicated by Snowflake replication. E cannot be hosted directly to the Snowflake application package
NEW QUESTION # 296
You are building a Snowflake Native App that aggregates data across multiple consumer accounts. Your app needs to securely access data in each consumer's Snowflake account without requiring them to share their credentials directly. You are evaluating different options for secure data access. Which of the following strategies are viable and recommended to implement this, maximizing security and minimizing administrative overhead for the consumer?
- A. Use Snowflake Data Clean Rooms to allow the app to query data from the consumers accounts.

- B. Have consumers create and share a JWT (JSON Web Token) with your application. The JWT will be used to authenticate against their Snowflake instance via an external function.

- C. Utilize Snowflake's Native App data sharing capabilities where the provider app shares data products back to the consumer account and the consumer account can use this inside their apps.

- D. Require consumers to grant SELECT privileges on their tables directly to the application's account. This necessitates the consumer to manage grants directly.

- E. Implement a data sharing agreement where consumers create a share from their account and grant usage to your application's account using secure data sharing. The application account can then create a database from this share.

Answer: C,E
Explanation:
Granting SELECT directly (A) requires the consumer to manage grants directly, which is not ideal for scalability or security. Passing JWT tokens (D) is complex and requires careful management of keys. Snowflake Data Clean Rooms(B) are not the correct solution to get consumer data in Provider App.. Secure data sharing (C) is a viable and secure option, as it allows consumers to share data without exposing credentials. Snowflake's Native App sharing Data Products back to the consumer account (E) is the best option for secure data access.
NEW QUESTION # 297
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