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| Section | Weight | Objectives |
|---|---|---|
| Snowflake Native App Framework Overview | 20% | - Native application concepts and architecture
|
| Native Application Design and Creation | 35% | - Application development workflow
|
| Installation, Testing and Troubleshooting | 20% | - Validation and debugging
|
| Deployment and Marketplace Publishing | 25% | - Distribution and lifecycle management
|
Question 1
You are developing a Snowflake Native Application and want to implement robust observability and telemetry. Which of the following approaches will enable you to effectively monitor the application's performance, identify errors, and collect usage metrics within the consumer's account?
A. The consumer is responsible for implementing observability and telemetry. The application developer cannot implement observability features that function within the consumer's account.
B. Rely solely on Snowflake's built-in query history and resource monitoring features in the consumer's account, as these automatically capture all application activity.
C. Utilize to write log data to a secure table within the application and leverage views granted to the consumer to expose relevant metrics and error information. Ensure appropriate roles have access to the views.
D. Directly access the consumer's system tables (e.g., 'SNOWFLAKE.ACCOUNT USAGE.QUERY HISTORY) to extract application-related metrics based on query identifiers generated by the application.
E. Implement custom logging using 'SYSTEM$LOG' and store application logs in a separate table within the application's container. Configure grants to allow the application developer to access these logs.
Question 2
Consider the following setup script snippet for a Snowflake Native Application:
What is the primary purpose of the 'WHERE NOT EXISTS' clause in the 'INSERT' statement within this setup script?
A. To ensure that the 'INSERT statement only executes if the table is empty.
B. To prevent duplicate rows with the same 'param_name' from being inserted into the 'app_data.configuration' table during subsequent installations or upgrades of the application.
C. To handle potential errors that may occur if the 'api_endpoint' parameter is already defined in the consumer's account.
D. To optimize the performance of the 'INSERT statement by avoiding unnecessary insertions when the configuration parameter already exists.
E. To guarantee that the 'app_data.configuration' table always contains the latest version of the 'api_endpoint' parameter, overwriting any existing value.
Question 3
A provider has released a Snowflake Native Application that calculates risk scores. As a consumer, you've installed the application. However, you are seeing inconsistent results when querying a view provided by the application named 'RISK SCORES'. You suspect the provider has an issue with their data or logic. Which of the following actions are MOST appropriate to troubleshoot this from the consumer side, focusing on querying and without access to the provider's source code?
A. Raise a support ticket with the provider through the Snowflake Marketplace. Include example queries, input data, and the expected vs. actual results to facilitate their debugging process. Further, Query data using different warehouse sizes to see if concurrency is a factor.
B. Use on the provider's account to establish a secure connection and directly debug the provider's stored procedures.
C. Contact Snowflake Support and provide them with a detailed description of the issue and relevant query examples. Snowflake Support can access the provider's environment and investigate.
D. Examine the 'INSTALLATION INFORMATION' view in the application's database to check for provider-published error messages or status updates related to data quality issues. Use queries to identify patterns in the inconsistent results.
E. Utilize the 'DEBUG' procedure exposed by the application (if any) to step through the risk calculation logic with specific input values.
Question 4
You are managing versions of a Snowflake Native App that persists data to tables within the consumer's account. You want to provide consumers with the ability to rollback to a previous version of the application without losing dat a. Which combination of Snowflake features and practices would best support this requirement?
A. Rely solely on Snowflake's Time Travel feature on the consumer's tables, instructing users to manually restore data to the desired point in time after rolling back the application.
B. Require consumers to manually back up their data before each application upgrade and provide instructions on how to restore it.
C. Implement a backup and restore mechanism within your application, creating regular snapshots of the consumer's tables and storing them in a secured location. Provide a rollback procedure that restores data from the appropriate snapshot.
D. Combine Snowflake's Time Travel feature with automated scripts within your application that identify and restore tables affected by the rollback to the specific point in time when the previous version was active. Provide users with a simplified rollback process.
E. Store data version history within the application and reconstruct historical states on demand. This requires complex data modeling and coding.
Question 5
You are the developer of a Snowflake Native App, and you're designing a feature that allows consumer accounts to create custom reports based on data exposed by the application. These reports will be defined using SQL queries and stored as views within the consumer's account, referencing objects (tables, views) provided by the application. The application does NOT want to provide direct 'SELECT access on underlying application's tables. How can you enable this feature while adhering to best practices for security and access control within the Snowflake Native App Framework? (Select all that apply)
A. Grant the 'SELECT privilege directly on the application's underlying tables to a role in the consumer account.
B. Create stored procedures that execute 'CREATE VIEW' statements in the consumer's account, controlled by parameters passed from the consumer, using EXECUTE AS OWNER.
C. Implement a UDF that constructs and executes the user's SQL query against the application's data and returns the results.
D. Expose secure views within the application package. Consumer accounts can then create views in their account that reference these secure views.
E. Utilize Data Sharing to share the underlying tables directly with the consumer account.
Solutions:
| Question 1 Answer: C | Question 2 Answer: B | Question 3 Answer: A,D | Question 4 Answer: C,D | Question 5 Answer: B,D |
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