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| Section | Weight | Objectives |
|---|---|---|
| Application Design & Creation | 35% | - Security and access control - Manifest files and configuration - Native App Framework architecture - Application packages and objects - Setup scripts and application logic |
| Application Deployment & Distribution | 25% | - Publishing to Snowflake Marketplace - Versioning and release management - Upgrades and lifecycle management - Listing types and monetization |
| Advanced Features & Management | 20% | - Governance and compliance - Event logging and telemetry - Billing events and cost monitoring - Integration with Snowpark and external services |
| Application Installation & Testing | 20% | - Debugging and troubleshooting - Installation procedures and dependencies - Testing strategies and validation - Provider and consumer workflows |
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NEW QUESTION # 206
You are developing a Streamlit application within a Snowflake Native Application that needs to access a secured view named 'sensitive_data' in the application's container. This view exposes aggregated and anonymized dat a. What minimum set of privileges must be granted to the 'app_public' application role to allow users to query this view from the Streamlit application?
Answer: C
Explanation:
The correct answer is B. To access a view, you need 'SELECT privilege on the view itself and USAGE privilege on the schema containing the view. 'APPLICATION' schema is the automatically generated schema, and should be used. Option A is incorrect because the USAGE privilege should be granted on the schema, not the database. Option C is incorrect because the USAGE privilege is needed on the schema, not just the database. Option D is incorrect because granting ALL PRIVILEGES is generally not a best practice for security and not needed. Option E is incorrect because you must grant usage on the Schema.
NEW QUESTION # 207
You have created a Snowflake Native Application that includes a User-Defined Function (UDF) written in Python. The UDF processes JSON data and performs complex calculations. During testing in a consumer's account, you discover that the UDF is running slower than expected. What steps can you take to optimize the UDF's performance? (Select TWO)
Answer: A,E
Explanation:
Leveraging vectorization (B) allows you to process data in bulk, significantly improving performance. Reducing complexity (D) minimizes the processing overhead of the UDF. Switching to SQL (A) might not always be faster, especially if the logic is complex or requires Python-specific libraries. Increasing the warehouse size (C) affects the overall query performance in the consumers account, but can impact cost dramatically. There is no recompilation as a general optimization strategy (E).
NEW QUESTION # 208
An application provider, 'SecureData Solutions', wants to implement an in-app share within their Snowflake Native App. They intend to share a specific, filtered subset of a provider-owned table with consumers to enhance app functionality without exposing the entire dataset. Which of the following steps are REQUIRED to properly configure and utilize this in-app share?
Answer: D
Explanation:
In-app sharing requires using secure views for filtering. A share is created, and usage rights on the database and schema containing the secure view must be granted to the share. Then, SELECT privilege on the secure view is granted to the share directly. Finally, OWNERSHIP on the SHARE is granted to the application role. Database Roles cannot be directly be granted to share, as shares need access to concrete securable objects, views or tables.
NEW QUESTION # 209
You've installed a Snowflake Native Application that provides advanced data analytics. The application requires a consumer-defined function (UDF), 'MASK SENSITIVE DATA, to be created in their account and used by the application. The application's setup script includes logic to check for the UDF's existence, but you want to ensure the application gracefully handles the case where the consumer has not yet created the UDF. Which of the following strategies can you implement to improve the application's resilience and provide a better user experience in this scenario? Select all that apply.
Answer: C,E
Explanation:
Options B and C are the best strategies for handling the missing UDF gracefully. 'TRY_FUNCTION' allows the application to continue running even if the UDF is not present, while error handling provides a clear and informative message to the user. Option A is problematic because it introduces a UDF that is not the intended function, potentially leading to data inconsistencies. Option D creates a rigid dependency and a poor user experience. Option E adds unnecessary complexity.
NEW QUESTION # 210
A customer has installed your Snowflake Native Application, which utilizes a IJDF that performs complex calculations. The customer reports performance issues and sporadic errors. As the application provider, how can you BEST establish telemetry and observability to diagnose the problem, without compromising the customer's data security or privacy?
Answer: B
Explanation:
Option B provides a balanced approach to observability and security. By logging anonymized input parameters and execution time within the IJDF and storing the data in an Event Table in the application provider's account, you can analyze performance and identify errors without directly accessing the customer's sensitive data. Exposing aggregate statistics allows the customer to monitor the application's performance. The other options either compromise security or rely on the customer to provide data, which might not be feasible or secure.
NEW QUESTION # 211
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