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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Application Deployment & Distribution | 25% | - Versioning and release management - Publishing to Snowflake Marketplace - Upgrades and lifecycle management - Listing types and monetization |
| Topic 2: Advanced Features & Management | 20% | - Billing events and cost monitoring - Event logging and telemetry - Governance and compliance - Integration with Snowpark and external services |
| Topic 3: Application Design & Creation | 35% | - Native App Framework architecture - Security and access control - Application packages and objects - Manifest files and configuration - Setup scripts and application logic |
| Topic 4: Application Installation & Testing | 20% | - Testing strategies and validation - Installation procedures and dependencies - Provider and consumer workflows - Debugging and troubleshooting |
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問題 #106
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.
答案:A,B
解題說明:
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.
問題 #107
You are developing a Snowflake Native App that processes data in the consumer's account and presents the results in a dashboard. You need to ensure that the dashboard automatically updates when the underlying data changes. Which of the following approaches, or combination of approaches, would be MOST effective in achieving this real-time or near real-time data refresh for the dashboard?
Choose TWO.
答案:A,C
解題說明:
Streams and Tasks are designed for incremental data processing and are well-suited for automatically updating data in response to changes. Allowing the customer to trigger an update is useful, but it doesn't provide auto update. A task can be used, however Streams and Tasks should be used. Depending on the application architecture Container Services might be used to keep the dashboards updated.
問題 #108
You are developing a Snowflake Native Application designed to be deployed by various consumers from the Snowflake Marketplace. The application interacts with user-provided data through secure UDFs and external functions. To ensure minimal impact and prevent unintended data access, how should you configure the application's security context and privileges when creating the application package?
答案:A
解題說明:
The best practice for securing Native Applications is to follow the principle of least privilege. Granting 'OWNERSHIP' or 'ALL PRIVILEGES' (A, D) is far too permissive and poses a significant security risk. While creating roles within the application (C) offers some control, it doesn't leverage the explicit privilege granting mechanism designed for Native Apps. Option B is partially correct but incomplete. Option E is the most secure and correct approach. It uses a dedicated application role with minimal required privileges CUSAGE on database, 'EXECUTE on UDFs/external functions) and 'CALL to grant 'USAGE' on the data share provided by the consumer, ensuring that the application can only access the explicitly shared data and execute the intended functions.
問題 #109
You are troubleshooting an issue where a Snowflake Native Application's Scala UDF, 'process_data' , is sporadically failing with an 'OutOfMemoryError'. The UDF processes large XML files. You need to identify the cause and implement a solution. Which strategies are most appropriate for diagnosing and resolving this issue within the constraints of a Snowflake Native Application?
答案:C,D
解題說明:
Options C and E are the most effective solutions. Streaming XML (C) avoids loading the entire file into memory. Breaking down files into chunks (E) reduces memory footprint per execution. Option A might temporarily alleviate the issue but doesn't address the underlying problem. Option B, Memory Profiler, can be complex to implement in Snowflake Native Apps due to limited tooling access. Option D can improve performance with caching, if applicable. However, that does not solve the memory issue for the initial load.
問題 #110
You are developing a Snowflake Native Application that provides data enrichment services. You want to offer tiered pricing based on the number of API calls made by consumers. Which of the following is the most effective approach to implement usage-based billing and track API call consumption within your application?
答案:A
解題說明:
Option A is the most effective as it directly tracks API calls within the application. Resource monitors (B) only control compute costs, not API usage. System$METER functions (C) track storage, notAPl calls. Custom logs (D) introduce complexity and security concerns. Snowflake's events table is a good general approach (E), but requires enabling detailed logging, which has performance implications and might not be available in all accounts. A shared table with a UDF provides the most direct and controllable way to meter usage.
問題 #111
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NAS-C01指南: https://www.kaoguti.com/NAS-C01_exam-pdf.html