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| Section | Weight | Objectives |
|---|
| 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. Building and versioning applications
- 2. Application roles and privileges
|
| Installation, Testing and Troubleshooting | 20% | - Validation and debugging
- 1. Tracing and troubleshooting workflows
- 2. Logging and event tables
|
| Deployment and Marketplace Publishing | 25% | - Distribution and lifecycle management
- 1. Version upgrades and release management
- 2. Marketplace listings and publishing
|
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Snowflake SnowPro Specialty - Native Apps Sample Questions (Q146-Q151):
NEW QUESTION # 146
You are developing a Snowflake Native Application for a financial institution that needs to be deployed across multiple cloud providers (AWS, Azure, GCP) to minimize latency for their global customer base. The application relies on a secure and consistent method for accessing external services for real-time market dat a. Which of the following strategies would BEST ensure cross-cloud functionality and adherence to Snowflake Marketplace best practices for secure data access?
- A. Hardcode cloud-specific endpoint URLs for the external services in your application code, using conditional statements to determine the correct endpoint based on the Snowflake cloud region.
- B. Use Snowflake's external functions with secure OAuth authentication to access the external services, leveraging Snowflake's built-in cross-cloud replication capabilities to ensure data consistency.
- C. Use Snowflake's Network Rules feature in conjunction with external functions that leverage API integration objects, storing the secret material necessary to authenticate with the external API. Leverage Snowflake's built-in cross-cloud replication capabilities to ensure data consistency.
- D. Package the external service client libraries directly within the Native Application and configure the application to dynamically discover the nearest available endpoint at runtime, storing credentials within a Snowflake secret.
- E. Create separate versions of the Native Application for each cloud provider, each with customized configurations for accessing the external services. Publish each version separately on the Snowflake Marketplace.
Answer: C
Explanation:
Using Network Rules in conjunction with external functions that use API integration objects and secrets provides the most secure and flexible approach. Network Rules allow you to specify which external networks the application can access, which API integration objects handle authentication and manage external access details, and secrets securely store the credentials. Snowflake replication ensures data consistency across clouds.
NEW QUESTION # 147
A software company, 'Datalnsights', is developing a Snowflake Native Application that requires restricted access to a source data table in the consumer's account. Datalnsights wants to ensure that only the application can access the data, and the consumer cannot directly query it. What is the MOST secure and recommended approach Datalnsights should use within their application package to grant access?
- A. Granting 'SELECT privilege directly on the source data table to the application role.
- B. Creating a secure view on top of the source data table and granting 'SELECT privilege to the application role on the view.
- C. Exposing the table directly through the application's setup script using 'GRANT SELECT ON TABLE TO APPLICATION ROLE app_role' .
- D. Using a secure UDF within the application to access the source data table, ensuring data masking and redaction, with only the UDF being granted SELECT privileges on the table.
- E. Granting the ' USAGE privilege on the database and schema containing the source data table directly to the application role.
Answer: D
Explanation:
Using a secure UDF is the recommended approach. By encapsulating the data access within a secure UDF, you can control precisely how data is accessed and potentially mask sensitive information. Options A, B and E grants direct access which contradicts the requirement for data restriction. While a secure view (C) adds a layer of indirection, a UDF provides greater flexibility and control over the data access logic and potential redaction.
NEW QUESTION # 148
A Snowflake Native Application provider has encountered performance issues with a Scala-based UDF, 'aggregate data' , used within their application. Consumers report slow execution times when processing large datasets. The provider has identified that the UDF involves complex calculations and data transformations. Which optimization techniques can be applied to improve the performance of the 'aggregate_data' UDF within the constraints of the Snowflake Native Application environment?
- A. Utilize Snowflake's vectorized UDF feature (if supported for Scala UDFs) to process data in batches, reducing the overhead of calling the UDF for each individual row.
- B. Optimize the UDF's data structures and algorithms to reduce memory usage and improve processing efficiency. Consider using techniques such as caching frequently accessed data within the UDF.
- C. Replace the Scala UDF with a Snowflake stored procedure written in SQL. Stored procedures generally offer better performance for data-intensive operations.
- D. Leverage Scala's parallel collections (e.g., 'par') to distribute the workload across multiple cores during data processing. Ensure that the UDF is designed to be thread-safe.
- E. Move the entire UDF logic to an external cloud function (e.g., AWS Lambda, Azure Function) and invoke it from Snowflake using a remote service. This offloads the computation to a more powerful environment.
Answer: A,B,D
Explanation:
Options B, C, and D are valid optimization techniques. Parallel collections (B) can leverage multi-core processing. Efficient data structures and algorithms (C) reduce memory usage and improve performance. Vectorized UDFs (D) process data in batches. Option A, using a stored procedure, might be beneficial if the performance gain outweighs the cost of rewriting the logic. However, that needs to be determined from measuring actual performance. Option E is not typically recommended due to added latency and complexity, unless absolutely necessary.
NEW QUESTION # 149
You are developing a Native App on Snowflake that needs to interact with an external REST API. To ensure proper security, you want to store the API key securely within the application package and use it for authentication. Which of the following is the MOST secure and RECOMMENDED method to accomplish this?
- A. Hardcode the API key directly into the application code within a UDF (User-Defined Function).
- B. Store the API key in a secure stage with encryption and grant SELECT privilege to the application role.
- C. Create a key-pair stored procedure. Storing the API key as a secret, then decrypting the key during each API call.
- D. Store the API key as a secret using Snowflake's Secret Management feature and reference it within a secure UDE
- E. Store the API key in a table within the application database with minimal access control, relying on Snowflake's data encryption at rest.
Answer: D
Explanation:
Snowflake's Secret Management offers the most secure way to store and manage sensitive information like API keys. It allows you to store secrets securely and reference them within UDFs, preventing direct exposure. Options A, B and D introduce security risks by storing the API key in less secure ways or directly in code. Option E introduces unnessary complexity.
NEW QUESTION # 150
An application provider creates a Snowflake Native App that needs to access sensitive data within the consumer's account. The provider has already defined an APPLICATION ROLE named Which of the following combination of actions are required to grant the 'app_role' the ability to select data from a table named 'customer_data' in schema of database 'consumer_db' within the consumer's account? (Choose two)
- A. No privileges are needed as the Application already installed in consumer account.
- B. Grant the 'SELECT privilege on the 'consumer_db.app_schema.customer_data' table to the 'APPLICATION ROLE app_role'.
- C. Grant the 'SELECT privilege on the 'consumer_db.app_schema.customer_data' table to the 'APPLICATION PACKAGE
- D. Grant the 'IMPORTED PRIVILEGES' privilege on the 'consumer_db' database to the 'APPLICATION PACKAGE.
- E. Grant the 'USAGE privilege on the schema to the 'APPLICATION ROLE app_role' .
Answer: B,E
Explanation:
To enable an application role to access objects in the consumer account, SELECT access on the table, along with usage access to the schema, need to be granted to the APPLICATION ROLE. Granting privileges to the APPLICATION PACKAGE only makes the privileges available for granting to the application roles, it does not automatically provide access. SELECT privilege on the table and USAGE on the schema are both needed. The APPLICATION ROLE, not PACKAGE, needs the SELECT privilege to the table. IMPORTED PRIVILEGES is typically granted to share data across accounts, not within an account for a Native App.
NEW QUESTION # 151
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