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| Section | Weight | Objectives |
|---|---|---|
| Snowflake Native Applications Installation and Testing | 20% | - Install and test native applications
|
| Snowflake Native Applications Design and Creation | 35% | - Create and manage billing events and cost monitoring techniques
|
| Snowflake Native App Framework Overview | 20% | - Understand Snowflake architecture, features, tools, and best practices
|
| Snowflake Native Applications Deployment | 25% | - Build, version, and release native applications
|
1. You are troubleshooting a Snowflake Native Application installation that consistently fails with a cryptic error message: 'Internal Application Error: Check application logs for details'. You have access to the application's code package but are unsure how to effectively gather detailed logs and telemetry data from the running application. Which strategy would provide the MOST comprehensive and maintainable observability solution within the Snowflake Native App framework?
A) Rely solely on the error messages returned by Snowflake during application execution, as these are sufficient for identifying most installation issues.
B) Integrate a third-party logging framework (e.g., Log4j) into the application code and configure it to write logs to an external logging service accessible over the internet.
C) Utilize the view to analyze query execution patterns and identify potential bottlenecks within the application's SQL code.
D) Implement calls within the application code to write log messages directly to a Snowflake table owned by the application provider. Consumers can then query this table to view logs.
E) Leverage Snowflake's event tables and configure the application to emit custom events to these tables. Consumers can then subscribe to these events to monitor application behavior.
2. A Snowflake Native Application uses a task 'aggregate_data' to aggregate dat a. This task is owned by the 'app_public' role and executes a stored procedure 'aggregate data proc'. Consumers have reported the task sometimes fails intermittently, citing permission issues, specifically related to accessing a specific table in the consumer account. The application provider has granted 'SELECT' privilege on the table to the 'app_public' role. However, the failures persist. What is the MOST LIKELY cause of the intermittent failures related to executing the task?
A) The stored procedure is executed with caller's rights (CALLER), and the 'EXECUTE TASK privilege wasn't granted correctly, which causes the user to randomly lose access on the Snowflake Ul.
B) The stored procedure is executed with definer's rights (OWNER), so the privilege check occurs against the application provider's account, not the consumer's account.
C) The task 'aggregate_data' is executing with definer's rights (OWNER) of the application, so the grant of SELECT privilege to 'app_public' is sufficient, and there is likely an issue with transient network connectivity.
D) The stored procedure is executed with caller's rights (CALLER), but the application role 'app_public' doesn't have sufficient warehouse privileges in the consumer account.
E) The stored procedure is executed with caller's rights (CALLER), but the application role 'app_public' doesn't have the ACTIVATION privilege on the task.
3. You are designing a Snowflake Native Application that uses Snowpark Container Services to process dat a. The application needs to store intermediate results in a Snowflake table. You have the following requirements: 1. The table should only be accessible to the Native App. 2. The table schema should be automatically updated when the application is upgraded. 3. You want to minimize the privileges granted to the container service's service account. Which of the following approaches should you use? (Select TWO)
A) Create a separate database for the Native App's internal data and grant the 'OWNERSHIP' privilege on this database to the Native App's service account.
B) Create the table within the application's package using a setup script. Grant the 'USAGE privilege on the application's schema to the Native App's service account.
C) Create the table within the application's package using a setup script. The setup script should execute during the application installation and upgrade process.
D) Create the table manually in the consumer's account and grant 'USAGE' and 'SELECT privileges on the table to the Native App's service account.
E) Grant 'ALL PRIVILEGES on the database containing the table to the Native App's service account. This allows the application to manage the table and its schema.
4. You are designing a Snowflake Native Application that requires fine-grained access control to its data within the consumer account. You want to ensure that consumers can only access data relevant to their specific department. Which of the following Snowflake features, when combined, offer the MOST secure and flexible solution for implementing this requirement within the context of a Snowflake Native Application ?
A) External Tables and Secure Views with Owner's Rights.
B) Row Access Policies and Secure Views with Caller's Rights.
C) User-Defined Functions (UDFs) and Row Access Policies.
D) Dynamic Data Masking policies and Views with Caller's Rights.
E) Views and Stored Procedures with Caller's Rights.
5. You are developing a Snowflake Native Application that performs complex data transformations. As part of your development lifecycle, you need to ensure that your code behaves idempotently even when facing intermittent network errors or unexpected disruptions. Consider the following function written in Snowpark Python that updates a table:
What modification is necessary to make this function idempotent against disruptions during the writing process to Snowflake and unexpected execution?
A) Leverage Snowflake's 'TRANSACTIONAL_REPLICATION' to replicate the operations to minimize data loss in between failures.
B) Use a 'MERGE statement to selectively update only changed rows, while ignoring existing ones.
C) Create a temporary table, write the transformed data to the temporary table, and then atomically rename the temporary table to the original table name.
D)
E) Wrap the 'df.write' operation in a retry mechanism with exponential backoff to handle intermittent network errors.
Solutions:
| Question # 1 Answer: D | Question # 2 Answer: B | Question # 3 Answer: B,C | Question # 4 Answer: B | Question # 5 Answer: C |
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