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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 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 3: Snowflake Native Applications Deployment | 25% | - Build, version, and release native applications
- 1. Use data sharing for app interoperability
- 2. Use Snowflake's marketplace
|
| Topic 4: 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
|
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Snowflake SnowPro Specialty - Native Apps Sample Questions (Q144-Q149):
NEW QUESTION # 144
You are deploying a Snowflake Native Application that utilizes a UDF (User-Defined Function) to perform complex data transformations. The UDF is written in Python and depends on several external packages. You need to ensure that the consumer of your application can seamlessly install and use the UDF without encountering dependency conflicts or versioning issues. How should you manage the UDF and its dependencies during the deployment process, considering Snowflake's Native App framework?
- A. Document the Python UDF dependencies in the application's documentation and instruct consumers to manually install them before using the function. No packaging is required.
- B. Package the Python UDF and its dependencies into a ZIP file and include it in the application package. Consumers will need to manually install the dependencies using 'conda install' after installing the application.
- C. Use Anaconda packages within the Snowflake environment to manage Python dependencies. Ensure all required packages are explicitly listed in the setup script used during the application installation process.
- D. Utilize the Snowflake Native Apps framework to bundle the Python UDF and its dependencies within the application package. Snowflake will automatically handle dependency resolution during application installation.
- E. Upload the Python UDF code directly into a stage and create a Snowflake function using the 'CREATE FUNCTION' command. Rely on the consumer's existing Python environment to resolve dependencies.
Answer: D
Explanation:
The Snowflake Native Apps framework is designed to handle dependency management automatically. Option D is the correct answer. The framework ensures that the UDF and its dependencies are packaged together and resolved seamlessly during installation, avoiding conflicts and versioning issues for the consumer. Options A, C, and E place the burden of dependency management on the consumer, which is not ideal. While B uses Anaconda packages, it's less seamless and automatic than using the Native Apps framework's built-in capabilities. This automatic dependency resolution is a key benefit of the Native Apps framework.
NEW QUESTION # 145
A Snowflake Native App developer is designing an application that requires persisting a large volume of intermediate data during a complex data transformation process. This data is only needed during the execution of the app and can be discarded afterward. Which of the following storage options within the Snowflake Native App Framework would be MOST suitable for this purpose, considering both performance and cost-effectiveness?
- A. Store the data in the user's temporary stage.
- B. Create a volatile table within the application's managed database.
- C. Use an external stage pointing to AWS S3 or Azure Blob Storage.
- D. Use a transient table within the application's managed database.
- E. Use a permanent table within the application's managed database.
Answer: B
Explanation:
Volatile tables are the most suitable option because they are designed for storing temporary data that is only needed for the duration of the session. They provide good performance and are automatically dropped when the session ends, ensuring efficient use of storage resources and preventing data leakage. Transient tables are retained until explicitly dropped, while permanent tables incur ongoing storage costs. User's temporary stage access is generally restricted. External stages add complexity and are generally used for data sharing, not temporary storage.
NEW QUESTION # 146
An application provider wants to grant the 'EXECUTE MANAGED TASK' privilege to a consumer account for a specific managed task within their Snowflake Native App. The provider uses the following SQL statement:

However, when the consumer account attempts to execute the managed task, they encounter an error indicating insufficient privileges. Which of the following reasons could explain why the consumer account is unable to execute the task, and how could the provider resolve the issue? Select two correct answers.
- A. The 'EXECUTE MANAGED TASK' privilege must be granted directly to the consumer account's user role, not the application role. The provider needs to identify the user role used by the consumer and grant the privilege to that specific role.
- B. The application role 'app_public' might not be activated within the consumer account's session. The consumer needs to ensure the application role is active using 'USE ROLE app_public;' before attempting to execute the managed task.
- C. The consumer account needs to explicitly grant the 'USAGE' privilege on the application database and schema to the application role 'app_public'. The provider needs to provide SQL to facilitate this in their setup script for consumer.
- D. The managed task owner (the application) does not have the OWNERSHIP privilege on the database and schema where the managed task resides. The application must have OWNERSHIP on these objects.
- E. The 'EXECUTE MANAGED TASK' privilege needs to be granted with the 'WITH GRANT OPTION' clause to allow the consumer to further grant the privilege to other roles within their account.
Answer: B,C
Explanation:
Option B is correct because the application role needs to be activated in the consumer's session to use the granted privilege. Option D is correct because even with the EXECUTE MANAGED TASK privilege, the application role needs USAGE privileges on the database and schema containing the task to access it. Option A is incorrect because granting to the application role is the correct method. Option C focuses on the provider's application setup, which does not directly relate to the consumer's inability to execute after a successful grant. Option E isn't applicable since the consumer is attempting to execute, not grant privileges to others.
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 the ' USAGE privilege on the database and schema containing the source data table directly 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. Granting 'SELECT privilege directly on the source data table to the application 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. Exposing the table directly through the application's setup script using 'GRANT SELECT ON TABLE TO APPLICATION ROLE app_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
You are packaging a Snowflake Native App and need to ensure that consumer accounts can only access specific data views you've created within your application schem a. You want to prevent consumers from directly querying the underlying tables. Which of the following security measures, when implemented together, BEST achieve this objective? (Choose two)
- A. Grant "OWNERSHIP' on the views to the 'application role' within the application package.
- B. Do not grant any privileges on the underlying tables to the 'application role' within the application package.
- C. Use secure views to expose data, ensuring data access is controlled through the view's definition.
- D. Grant 'SELECT privilege only on the views to the 'application role' within the application package.
- E. Grant 'SELECT' privilege on the underlying tables to the 'application role' within the application package.
Answer: C,D
Explanation:
The combination of granting ' SELECT only on the views (Option B) and using secure views (Option E) provides the strongest data security. Granting select on the views allows consumers to see the data you want them to see. Secure views prevent consumers from circumventing the view definition to access underlying tables, even if they had theoretical privileges (which they shouldn't). Not granting any privileges on tables(C) is correct in conjunction with (B&E), but on its own consumers will not see any data as they can't select from any object. Giving application role ownership to View(D) is not necessary to give consumer access to view the data.
NEW QUESTION # 149
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