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| Section | Weight | Objectives |
|---|---|---|
| Application Design & Creation | 35% | - Setup scripts and application logic - Native App Framework architecture - Security and access control - Application packages and objects - Manifest files and configuration |
| Application Installation & Testing | 20% | - Installation procedures and dependencies - Testing strategies and validation - Debugging and troubleshooting - Provider and consumer workflows |
| Application Deployment & Distribution | 25% | - Listing types and monetization - Versioning and release management - Publishing to Snowflake Marketplace - Upgrades and lifecycle management |
| Advanced Features & Management | 20% | - Billing events and cost monitoring - Event logging and telemetry - Integration with Snowpark and external services - Governance and compliance |
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質問 # 304
You are developing a Snowflake Native Application that manages customer accounts. In version 1.0, you had a table named 'CUSTOMER_ACCOUNTS with columns 'ACCOUNT D', 'CUSTOMER NAME, and 'EMAIL'. You are now releasing version 2.0, which requires adding a new column 'PHONE NUMBER to the 'CUSTOMER ACCOUNTS table, but you need to ensure backward compatibility and allow seamless upgrades for existing installations. Which of the following approaches within the 'setup.sqr file is the MOST robust and reliable to implement this schema change without disrupting existing users?
正解：E
解説：
Option E is the most robust because it explicitly checks for the existence of the column before attempting to add it. This prevents errors during upgrade if the column already exists (e.g., if a previous upgrade failed partially). Using a stored procedure within 'setup.sqr provides more control and avoids syntax errors that might arise from 'IF statements directly in the script. Option A, B and C would fail if the column already exists, throwing an error and halting the upgrade process. Option D is destructive, as it drops and recreates the table, leading to data loss. Therefore, option E is the most reliable and production-ready.
質問 # 305
You are tasked with automating the installation of a Snowflake Native Application across multiple consumer accounts using the Snowflake Marketplace. The installation process must be idempotent (running the installation script multiple times should not cause errors or unexpected behavior). You have the following requirements: 1. Check if the application is already installed. 2. If not installed, install the application from the Marketplace. 3. Grant specific privileges on the installed application to a role within the consumer account. Which of the following Snowflake Scripting (SnowSQL) snippets BEST implements this idempotent installation process? Assume 'application name', 'application _ package', 'consumer role', and 'marketplace listing url' are pre-defined variables.
正解：C
解説：
Option D provides the best approach. It first checks if the application already exists using 'SHOW APPLICATIONS LIKE 'application_name' and If the application does not exist (count is 0), it proceeds to install the application from the Marketplace using 'CREATE APPLICATION ... FROM MARKETPLACE. The 'GRANT USAGE statement is executed regardless of whether the application was just installed or already existed, making the entire process idempotent. A,B,C do not account for idempotency. E is not idempotent for granting the role.
質問 # 306
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?
正解：A、E
解説：
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.
質問 # 307
You've developed a Snowflake Native Application. During the installation process in a consumer's account, the installation fails. The error message is vague and doesn't pinpoint the exact cause. What are the MOST effective steps you can take, in order , to diagnose the installation failure and provide the consumer with a resolution? (Select the top 3 steps)
正解：A、B、E
解説：
The most effective steps, in order, are: 1. D: Use 'SYSTEM$GET_PKG INSTALLATION ERRORS' in the provider account. This function is specifically designed to provide detailed error information about failed installations. It's the quickest way to get actionable insights. 2. B: Review Snowflake Event Tables. After getting a specific error from the , correlate the information with your application+s specific event logs. This helps understand the application-level context of the error. 3. A: Examine consumer's ACCOUNT_USAGE views. While less specific, checking query history and error logs in the consumer account can provide valuable insights into the environment and any potential conflicts. Option C is not the first step because Native Apps should ideally handle role creation. Sharing entire metadata (Option E) is a security risk and rarely necessary.
質問 # 308
You are tasked with automating the creation of Snowflake Marketplace listings for several Native Applications. The application metadata, pricing tiers, and listing descriptions are stored in a JSON file. Which Snowflake feature(s) or approach would best facilitate the automated creation and management of these listings?
正解：B、D
解説：
Automating Marketplace listing creation requires a programmatic approach. Manually entering data (A) is not suitable for automation. Directly uploading the JSON and parsing it with a stored procedure (E) is feasible but less efficient and scalable than options using dedicated APIs or connectors. The most suitable options are B and C. A Python script with the Snowflake Connector (B) allows for flexible and robust automation, enabling complex logic and error handling. Leveraging the Snowflake REST API (C) also provides a programmatic interface specifically designed for managing Snowflake resources (if such an API and specific function SYSTEM$CREATE MARKETPLACE LISTING exists). While a CLI (D) could be used, it is usually less feature-rich than the REST API or Connector for complex tasks.
質問 # 309
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