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| Section | Weight | Objectives |
|---|
| Topic 1: Snowflake Native Applications Installation and Testing | 20% | - Install and test native applications
- 1. Validate application functionality and performance
|
| Topic 2: Snowflake Native Applications Design and Creation | 35% | - Apply Snowflake best practices while building native application workloads
- 1. Design scalable applications
- 2. Build, distribute, and monetize apps in Snowflake
- Create and manage billing events and cost monitoring techniques
- 1. Formulate Snowflake native application workflows and procedures
|
| Topic 3: Snowflake Native App Framework Overview | 20% | - Understand Snowflake architecture, features, tools, and best practices
- 1. Account security and access management
- 2. Data sharing and protection mechanisms
- 3. Cloud-based computing and storage concepts
|
| Topic 4: Snowflake Native Applications Deployment | 25% | - Build, version, and release native applications
- 1. Use Snowflake's marketplace
- 2. Use data sharing for app interoperability
|
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Snowflake SnowPro Specialty - Native Apps Sample Questions (Q200-Q205):
NEW QUESTION # 200
You are designing a Snowflake Native Application that involves data sharing with consumers. You want to leverage a custom Python library 'data_transform.py' within your application package to perform specific data transformations on the shared data before it is accessed by consumers. This library contains sensitive logic and should not be directly visible or accessible by the consumer. Which of the following is the MOST secure and appropriate way to package and utilize this 'data_transform.py' library?
- A. Publish 'data_transform.py' as a public Python package on Anaconda and have consumers install it in their Snowflake environment.
- B. Include directly within your application package's source code and call its functions from within your application's procedures. Grant necessary privileges on the procedures to the consumer's role, ensuring to only expose the procedures and never the python source.
- C. Package 'data_transform.py' as a user-defined function (UDF) and grant 'USAGE privilege on the UDF to the consumer's role.
- D. Store 'data_transform.py' as an internal stage file and read it dynamically into your application's Python code at runtime.
- E. Embed the contents of 'data_transform.py' directly within the application's stored procedure code as a multi-line string.
Answer: B
Explanation:
The most secure and appropriate way to package and utilize the custom library is to include it directly within your application package's source code and call its functions from within your application's procedures. This approach ensures that the library's sensitive logic remains encapsulated within your application and is not directly visible or accessible by the consumer. Only expose stored procedures with defined permissions and never the underlaying source code. Options A, UDFs, can be a way to expose code but also requires direct granting of USAGE which is not ideal. Option C, storing as an internal stage file, adds complexity and does not inherently improve security. Option D exposes code publicly, thus, this is incorrect. Option E can be hard to maintain.
NEW QUESTION # 201
A data analytics company is developing a Snowflake Native App that allows customers to enrich their existing Snowflake data with external, proprietary datasets. The application requires READ access to customer tables and the ability to store processed results within the application's managed database. Which combination of Snowflake Native App Framework privileges and features is MOST appropriate to achieve this functionality?
- A. The application's manifest includes REQUESTED PRIVILEGES = [ 'USAGE ON DATABASE', 'READ ON TABLE' ]. Use stored procedures executing with caller's rights to access customer tables and standard INSERT statements to write to the managed database.
- B. The application package grants OWNERSHIP privilege on customer tables to the application. Use standard INSERT statements within stored procedures to write enriched data into the application's managed database.
- C. Use an API Integration to securely access the customer's data and a Stored Procedure to write the enriched data into application's stage.
- D. The application's manifest includes REQUESTED PRIVILEGES = [ 'READ ON DATABASE', 'READ ON TABLE' l. Use stored procedures executing with definer's rights to access customer tables through a secure view, and standard INSERT statements to write to the managed database.
- E. The application's manifest includes REQUESTED PRIVILEGES = [ 'READ' l. Use stored procedures executing with definer's rights to access customer tables and external functions to write to the managed database.
Answer: D
Explanation:
The correct approach involves requesting necessary privileges (READ ON DATABASE, READ ON TABLE) in the application manifest. Using definer's rights within stored procedures allows the application to access customer data securely through secure views, and standard INSERT statements are the correct way to write to the managed database. Granting OWNERSHIP is excessive and insecure. Caller's rights would require the user installing the app to have READ privileges on the customer's data, defeating the purpose of secure access within the app.
NEW QUESTION # 202
You are developing a Snowflake Native Application that connects to an external API to enrich dat a. To comply with best practices and maintain security posture of your Native App, you decide to manage the API Key as Secret. Which of the following approach are needed to ensure that the Snowflake Native application can securely access the secret?
- A. Store the API Key directly within the application code, encrypting it using AES encryption with a key managed by Snowflake.
- B. Store the API Key as a Secret within Snowflake and grant USAGE privilege on the secret to the application role.
- C. Create a secure UDF that retrieves the API Key from an external key management system and grant USAGE privilege on UDF to the application role.
- D. Store the API key using Snowflake's secret management feature and the 'USAGE' privilege to the application's invoker's rights role.
- E. Store the API Key as an environment variable within the application container.
Answer: B,D
Explanation:
Snowflake's secret management feature with appropriate privilege grants is the recommended approach. Storing the API Key as a Secret (A & E) within Snowflake and granting 'USAGE privilege to the appropriate role (Application role or invoker's rights role) ensures secure access. Embedding the key directly in code (B) or as an environment variable (D) is insecure. While a UDF retrieving the key (C) could work, it adds complexity and potential performance overhead compared to using Snowflake's native secret management.
NEW QUESTION # 203
You have successfully deployed your Snowflake Native Application Package to an external stage (AWS S3), but consumers are reporting they are not receiving updates after you deploy new versions to the external stage. You have verified that the IAM role, Snowflake integration, and S3 bucket policy are correctly configured. What steps should you take to troubleshoot and resolve this issue?
- A. Execute the 'ALTER APPLICATION PACKAGE REFRESH' command after each deployment to the external stage. This explicitly informs Snowflake to refresh the application package metadata.
- B. Grant the APPLICATION ROLE to the SNOWFLAKE DEPLOYMENT role on the application package. This allows the deployment process to automatically update the consumer instances.
- C. Ensure the S3 bucket has versioning enabled. Snowflake relies on S3 versioning to detect new application package versions.
- D. Consumers must manually refresh their installed application instance using the command 'ALTER APPLICATION REFRESH;' after a new package version is deployed.
- E. Verify that the SNOWFLAKE DEPLOYMENT role has been granted ownership of the Integration object used for accessing the external stage.
Answer: A,D
Explanation:
To ensure consumers receive updates after deploying new versions, the APPLICATION PACKAGE metadata must be refreshed, and consumers must update their application instances. Executing 'ALTER APPLICATION PACKAGE REFRESH' after each deployment (B) updates the Snowflake metadata about the available package versions. Consumers must then refresh their instance using 'ALTER APPLICATION REFRESH;' (C) to pick up the new version. S3 versioning (A) is not directly related to the update process in Snowflake Native Applications, and the APPLICATION ROLE(D) and ownership of integration (E) do not affect update distribution.
NEW QUESTION # 204
You are developing a Snowflake Native Application that provides data enrichment services. You want to monetize your application through the Snowflake Marketplace using a custom, usage-based pricing model. You need to track the number of API calls made by each consumer account and bill them accordingly. Which of the following steps are necessary to implement this in your application and listing configurations?
- A. Implement a metering function within your Native Application using 'snowflake.snowpark.functions.metering'. Configure your application listing with a STANDARD listing type and set a base price.
- B. Implement a metering function within your Native Application using 'snowflake.snowpark.functions.metering'. Configure your application listing with a CONSUMPTION listing type and define metering events based on API calls made. Set the cost per metering event.
- C. Implement a metering function using stored procedures, record API usage in a dedicated table within your application's container and use 'CREATE NOTIFICATION INTEGRATION' to send billing data to an external system for invoice generation.
- D. Use Snowflake's data sharing capabilities to share a billing table with consumer accounts, tracking API calls externally and managing billing outside of the Snowflake Marketplace.
- E. Implement custom code to track API calls in a table within the application package and use a scheduled task to generate billing reports manually. This report is then shared outside of Snowflake Marketplace.
Answer: B
Explanation:
The correct approach is to use 'snowflake.snowpark.functions.metering' to track API calls and configure a CONSUMPTION listing. CONSUMPTION listings allow you to define metering events and their corresponding costs, enabling usage-based pricing. Options A is partially correct regarding the metering function but incorrect about the listing type. Standard listing is for free apps. Other options bypass native monetization and require manual billing processes, defeating the purpose of leveraging the Marketplace's monetization features.
NEW QUESTION # 205
......
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