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Snowflake NAS-C01 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Application Installation & Testing | 20% | - Testing strategies and validation - Debugging and troubleshooting - Installation procedures and dependencies - Provider and consumer workflows |
| Topic 2: Application Deployment & Distribution | 25% | - Versioning and release management - Upgrades and lifecycle management - Listing types and monetization - Publishing to Snowflake Marketplace |
| Topic 3: Advanced Features & Management | 20% | - Billing events and cost monitoring - Governance and compliance - Event logging and telemetry - Integration with Snowpark and external services |
| Topic 4: Application Design & Creation | 35% | - Security and access control - Native App Framework architecture - Application packages and objects - Setup scripts and application logic - Manifest files and configuration |
Snowflake SnowPro Specialty - Native Apps Sample Questions:
1. You are developing a Snowflake Native App that requires accessing a specific table within the consumer's account. The consumer should not have direct access to this table. Which of the following is the MOST secure and appropriate method to grant the necessary access?
A) Creating a Snowflake Secure View on the table in the provider account and sharing this view with the consumer account using Data Sharing.
B) Employing a Stored Procedure owned by the application role that queries the table in the provider account, and allowing access to the procedure via API integration.
C) Granting direct SELECT access to the consumer role on the table in the provider account, ensuring to revoke access after the app is installed.
D) Creating a Snowflake Secure UDF that queries the table within the provider account and exposing the UDF to the consumer account through a package.
E) Granting the CONSUMPTION usage privilege on the provider account database to the consumer account, and then granting SELECT on the specific table to a role that the app assumes.
2. Consider the following scenario: You're developing a Snowflake Native Application that uses external functions to call an API endpoint. The API endpoint experiences intermittent outages. You need to implement a robust mechanism to handle these outages gracefully and log the errors appropriately. Which of the following approaches are BEST suited to achieve this within the constraints of a Snowflake Native Application?
A) Implement a retry mechanism within the external function, using exponential backoff. Log errors and retry attempts to a dedicated logging table within the provider account using a secure UDF.
B) Use snowflake pipes to write to a logging table in provider account.
C) Rely solely on Snowflake's built-in monitoring tools to detect and report external function failures.
D) Implement error handling within the external function's code (e.g., using try-except blocks in Python). Log any errors directly to the consumer's system event logs using ' SYSTEM$LOG'.
E) Utilize a queueing system (e.g., Kafka, SQS) to buffer requests to the external function. Implement error handling and retry logic within the queue consumer. Log failures to Snowflake Event Tables.
3. You've developed a Snowflake Native Application and are preparing to release a new version. You want to ensure that if any critical issues are detected after the upgrade, you can quickly revert users back to the previous stable version. Which combination of Snowflake features and best practices should you implement to facilitate a seamless rollback process? Select all that apply.
A) Keep the previous stable version staged in the application package. If issues arise with the new version, use release directives to direct users back to the previous version by modifying the 'ACTIVATE_AT parameter or using tags.
B) Before staging the new version, create a new version of the application package with a lower version number that points to the previous stable version's code. Use ALTER APPLICATION' to downgrade users.
C) Before staging the new version, create a full backup of all data warehouses used by your application in consumer accounts.
D) Utilize the 'UNSTAGE VERSION' command to immediately remove the problematic version from all consumer accounts.
E) Implement robust logging and monitoring within your application to quickly identify and diagnose any issues after the upgrade.
4. A Snowflake Native App provider has implemented an Event Table to capture application logs. They observe a significant performance degradation in their application queries when the Event Table grows beyond a certain size. Which of the following strategies can be implemented to mitigate the performance issue, assuming that frequent querying of the last 7 days of data is common? Select ONLY ONE answer.
A) Disable automatic clustering on the Event Table.
B) Create a materialized view on top of the Event Table that filters for events within the last 7 days.
C) Implement a stored procedure that manually copies the last 7 days of data to a separate, smaller table.
D) Partition the Event Table by date, using the ' INSTALLATION_TIMESTAMP' column.
E) Increase the warehouse size used for querying the Event Table.
5. You are tasked with creating a new version (2.0) of a Snowflake Native Application. This new version introduces significant schema changes and requires data migration from the old schema in version 1.0 to the new schem a. You need to write the 'setup.sqr script for version 2.0. Which of the following steps or considerations are MOST critical to ensure a smooth and successful upgrade for existing customers? (Select TWO)
A) Before applying schema changes, backup the existing data using 'CREATE TABLE AS SELECT to safeguard against data loss during the upgrade process.
B) Use external stages for data backup, and leverage Snowflake Data Sharing to provide access to the older version data for consumers after upgrade.
C) Include only the schema changes in 'setup.sql' without any data migration logic. Assume users will manually migrate the data.
D) Implement robust error handling and logging within the 'setup.sqr script to capture any issues during schema migration or data transfer.
E) Use 'setup.sqr to perform a direct 'INSERT INTO ... SELECT FROM operation to move data from the old tables to the new tables after the new tables are created.
Solutions:
| Question # 1 Answer: D | Question # 2 Answer: A,E | Question # 3 Answer: A,E | Question # 4 Answer: B | Question # 5 Answer: A,D |


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