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| Section | Weight | Objectives |
|---|
| Topic 1: Snowflake Native App Framework Overview | 20% | - Native application concepts and architecture
- 1. Application packages and structure
- 2. Manifest files and setup scripts
|
| Topic 2: Deployment and Marketplace Publishing | 25% | - Distribution and lifecycle management
- 1. Marketplace listings and publishing
- 2. Version upgrades and release management
|
| Topic 3: Installation, Testing and Troubleshooting | 20% | - Validation and debugging
- 1. Tracing and troubleshooting workflows
- 2. Logging and event tables
|
| Topic 4: Native Application Design and Creation | 35% | - Application development workflow
- 1. Building and versioning applications
- 2. Application roles and privileges
|
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Snowflake SnowPro Specialty - Native Apps Sample Questions (Q185-Q190):
NEW QUESTION # 185
You are developing a subscription-based Snowflake Native Application that offers tiered pricing (Basic, Premium, Enterprise) based on resource consumption (e.g., compute hours, data storage). Consumers select their desired tier during the subscription process. Your application needs to dynamically adjust resource limits based on the selected tier. Which combination of the following actions should you take to correctly implement this?
- A. Store tier-specific resource limits (e.g., compute hours, data storage limits) in a configuration table within the application. Implement stored procedures that enforce these limits during runtime using custom logic.
- B. Use 'ALTER WAREHOUSE commands within the application to dynamically adjust warehouse sizes based on the selected tier, after retrieving the selected tier information via the application's configuration metadata.
- C. Leverage Snowflake's data governance features, creating row access policies for each tier and assigning them based on the consumer's subscription status
- D. Implement role-based access control (RBAC) using different roles for each tier, granting each role appropriate privileges for data access and compute resources. Assign users to roles based on their subscription tier.
- E. Create separate resource monitors for each tier and associate the consumer's account with the appropriate resource monitor based on their selected tier during application installation.
Answer: A,B
Explanation:
The correct answers are A and D. Option A: Adjusting warehouse sizes dynamically with 'ALTER WAREHOUSE allows you to provide different compute resources based on the tier. Option D: Storing tier-specific resource limits in a configuration table and enforcing them in stored procedures allows for granular control over resource consumption. Option B is not a suitable solution for controlling resources within an application container. Resource monitors are more suited for organization-level control. Option C (RBAC) controls data access but doesn't inherently limit resource consumption. Option E is focused on row-level security and not relevant for governing overall resource limits.
NEW QUESTION # 186
Your Snowflake Native Application needs to integrate with an external Python library (e.g., 'requests' ) to fetch data from a third-party API. You have packaged the library using Anacond a. How do you correctly reference and use this external library within a Python UDF in your application?
- A. Install the 'requests' library on each Snowflake virtual warehouse used by the application.
- B. Import the library directly in the UDF code using 'import requests'. Snowflake automatically handles external dependencies.
- C. Create a stage to store the Anaconda packages and reference them when calling the UDF from Streamlit.
- D. Use 'snowflake.ingest.SimplelngestManager' to manage the library dependencies within the application's metadata.
- E. Specify the library in the 'imports' clause when creating the UDF using the opackageS decorator. For example:

Answer: E
Explanation:
Snowflake uses Anaconda for managing Python dependencies in UDFs. The correct way to specify external libraries is through the packages parameter in the '@sproc' decorator or when creating a UDF using 'CREATE FUNCTION'. Directly importing without specifying the package or managing it manually (C, D, E) will lead to A is wrong since the library has to be explicitly declared as a dependency.
NEW QUESTION # 187
You are developing a Snowflake Native App that allows consumers to configure certain parameters through a setup page. You want to persist these configurations securely. What is the recommended approach to store and retrieve consumer-specific configuration data within a Snowflake Native App?
- A. Create a dedicated configuration table within the consumer's Snowflake account using the setup script and use secure UDFs to access it.
- B. Store the configuration data in a consumer-specific stage created during app installation.
- C. Store the configuration data as environment variables within the application package.
- D. Utilize the 'APPLICATION_SETTINGS' object to store and retrieve configuration parameters. Access these settings within your application logic.
- E. Store the configuration data in a secured view provided by the provider and accessible to the consumer.
Answer: D
Explanation:
The recommended approach is to use the 'APPLICATION_SETTINGS' object (Option E). Snowflake provides this mechanism specifically for storing and retrieving consumer-specific configuration data securely within a Native App. 'APPLICATION SETTINGS' allows providers to define configurable parameters that consumers can set during installation or later through a setup interface. These settings are securely managed by Snowflake and accessible within the application's logic using Javascript or SQL. Other options are not recommended for the following reasons: A: Environment variables are not consumer-specific and are generally used for application-wide settings, not per-consumer configurations. B: Storing configuration data in a consumer-specific stage is not secure or recommended, as it bypasses Snowflake's built-in security mechanisms. C: Creating tables directly in the consumer's account requires additional permissions and can be more complex to manage. D: Secured views are generally intended for data sharing, not for storing configuration parameters.
NEW QUESTION # 188
You are developing a Snowflake Native Application and need to track changes made to the application code across different versions. You want to leverage Snowflake's built-in capabilities for version control and auditing. Which of the following approaches is the MOST suitable and efficient for achieving this?
- A. Utilize Snowflake's Information Schema views (e.g., 'INFORMATION_SCHEMA.PROCEDURES, 'INFORMATION SCHEMA.FUNCTIONS) in conjunction with Time Travel to query historical metadata and code definitions.
- B. Use Snowflake's Time Travel feature to query historical versions of application code objects (e.g., stored procedures, UDFs) and compare differences between versions.
- C. Integrate with an external version control system (e.g., Git) and store application code and deployment scripts in the repository. Use CI/CD pipelines to manage deployments to Snowflake.
- D. Use Snowflake's Streams feature to capture changes made to application code objects and store them in a separate change table for auditing.
- E. Manually maintain a change log in a separate Snowflake table, documenting each code modification with associated version numbers and timestamps.
Answer: A
Explanation:
Option E is the most suitable and efficient solution. Combining Snowflake's Information Schema views with Time Travel provides a comprehensive and native way to track changes to application code objects. The Information Schema provides metadata about database objects, and Time Travel allows you to query historical versions of those objects. This approach leverages Snowflake's built-in capabilities without requiring external tools or manual change logging. Options A and B requires extra configuration of the whole process. Option C while feasible, Time Travel has to be enabled on each component, which makes option E superior. Option D is designed for data and not code auditing.
NEW QUESTION # 189
Consider a scenario where a Snowflake Native Application contains a task named "daily data sync'. This task needs to be executed in the consumer's account. To enable proper monitoring and governance within the consumer's account, the consumer wants to tag the executions of this task. Which of the following actions must the application provider take to ensure that the consumer can successfully tag the 'daily data sync' task executions without compromising the security of the application or requiring the consumer to have elevated privileges on the application database?
- A. The provider must grant the APPLY TAG privilege on the account to the consumer s account role.
- B. The provider must grant the APPLY TAG privilege on the task to the consumer's account role. No other configuration is necessary.
- C. The provider must grant the APPLY MASKING POLICY privilege on the task to the consumer's account role, enabling the consumer to configure tags via masking policies.
- D. The provider must grant the OWNERSHIP privilege on the task to the consumer's account role, allowing the consumer to set tags directly.
- E. The provider cannot enable the consumer to tag the task executions without granting elevated privileges on the application database or compromising security; tagging is solely the provider's responsibility.
Answer: A
Explanation:
Granting the 'APPLY TAG' privilege on the account to the consumer s account role enables the consumer to tag objects (including task executions) within their own account. This approach avoids granting elevated privileges on the application database or compromising the application's security, as the consumer is only able to apply tags and not modify the underlying task definition or data. The 'APPLY MASKING POLICY privilege is irrelevant for tagging, and 'OWNERSHIP' is too broad, potentially compromising security. Providers can create tasks with appropriate roles and grants to permit tagging for consumers.
NEW QUESTION # 190
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