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Snowflake NAS-C01 Exam Syllabus Topics:

Section	Weight	Objectives
Advanced Features & Management	20%	- Event logging and telemetry - Governance and compliance - Integration with Snowpark and external services - Billing events and cost monitoring
Application Deployment & Distribution	25%	- Upgrades and lifecycle management - Publishing to Snowflake Marketplace - Versioning and release management - Listing types and monetization
Application Installation & Testing	20%	- Provider and consumer workflows - Testing strategies and validation - Debugging and troubleshooting - Installation procedures and dependencies
Application Design & Creation	35%	- Security and access control - Manifest files and configuration - Native App Framework architecture - Setup scripts and application logic - Application packages and objects

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Snowflake SnowPro Specialty - Native Apps Sample Questions (Q196-Q201):

NEW QUESTION # 196
You are developing a Snowflake Native Application that processes financial transactions. You want to implement a robust version management strategy. You have created versions 'v1_0', 'V1 _ 1', and 'v2 Version has a critical bug fix and needs to be prioritized for immediate deployment to specific consumer accounts that reported issues, while contains significant feature enhancements and is undergoing phased rollout. What is the most efficient and secure way to manage these releases in Snowflake?

A. Option C
B. Option A
C. Option B
D. Option D
E. Option E

Answer: B

Explanation:
Option A is the most efficient. Granting 'I-JSAGES on specific versions directly controls which version each consumer account accesses. This avoids the overhead of deploying multiple application packages and doesn't require complex data manipulation within the application itself. Options B is inefficient and resource intensive. Option C will only effect the new installation, and we already has consumers that need the bug fixed on the old version. Option D is complex and requires custom code which can lead to errors. Option E is viable but the patch command is suited for more than just bug fixes, using the version grants are the best method for this case.

NEW QUESTION # 197
A Snowflake Native Application is designed to process customer data using a series of stored procedures. One of the stored procedures, process data', requires access to a stage named 'customer stage' in the consumer's account to load dat a. The application role 'app_role' is intended to manage all access within the application. However, the procedure fails with a permission error during testing in the consumer environment. Which of the following combination of steps is required to fix the problem?

A. Grant 'USAGE privilege on the database and schema containing 'customer_stage' to the provider account, and grant privilege on 'customer_stage' to the 'app_role' .
B. Grant 'USAGE privilege on the database and schema containing 'customer_stage' to the 'app_role', and grant 'READ privilege on 'customer_stage' to the app_role' .
C. Grant 'READ and ' WRITE privilege on 'customer_stage' directly to the provider account.
D. Grant 'USAGE privilege on the database and schema containing 'customer_stage' to the 'app_role', and create a new role in the consumer account, grant 'READ on the 'customer_stage' to this new role, then grant this new role to 'app_role' .
E. The stored procedure needs to be defined with 'EXECUTE AS CALLER rights to assume the privileges of the role executing the procedure.

Answer: B,E

Explanation:
Options A and E are correct. Option A: The 'app_role' needs 'USAGE privileges on the database and schema to access objects within them. It also needs 'READ' privilege on the stage to load data from it. Option E: If the stored procedure is accessing objects with the 'OWNER rights instead of 'CALLER rights, then it doesn't matter what the 'app_role' has privileges to. The procedure needs to be defined to execute as the caller to take advantage of the consumers permissions to external stages. Options B and C are incorrect because granting privileges directly to the provider account or the consumer account is the incorrect pattern for Snowflake Native Apps. The privileges should be managed within the consumer account, usually through an 'app_role' . Option D includes an unnecessary intermediary role that is not needed.

NEW QUESTION # 198
A Native App developer is using Snowflake's Event Tables for tracing the execution of their application. They have noticed a significant performance overhead when event logging is enabled, particularly for high-volume UDFs. Which of the following strategies would be MOST effective in mitigating the performance impact of event logging while still capturing valuable tracing information?

A. Write event data directly to an external cloud storage system (e.g., AWS S3, Azure Blob Storage) bypassing Snowflake's Event Tables altogether.
B. Increase the frequency of event table flushes to reduce the number of events buffered in memory. This minimizes memory pressure and write latency.
C. Disable event logging entirely for high-volume UDFs to eliminate the performance overhead.
D. Reduce the number of columns captured in the event tables to minimize the amount of data being written. Store all tracing data in a single large event table to simplify querying.
E. Implement sampling or conditional logging within the UDFs, only logging events for a subset of executions or when specific conditions are met. Utilize asynchronous logging techniques where appropriate to offload logging operations.

Answer: E

Explanation:
Option C offers the best balance between performance and valuable tracing information. Sampling allows you to reduce the volume of events logged, while conditional logging ensures that only relevant events are captured. Asynchronous logging further minimizes the performance impact. Option A is not desirable as it eliminates tracing altogether. Option B will not reduce overhead. Option D is a good strategy but doesn't address high logging volumes. Option E may not be compliant or possible.

NEW QUESTION # 199
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. Use external stages for data backup, and leverage Snowflake Data Sharing to provide access to the older version data for consumers after upgrade.
B. Implement robust error handling and logging within the 'setup.sqr script to capture any issues during schema migration or data transfer.
C. Include only the schema changes in 'setup.sql' without any data migration logic. Assume users will manually migrate the data.
D. Before applying schema changes, backup the existing data using 'CREATE TABLE AS SELECT to safeguard against data loss during the upgrade process.
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.

Answer: B,D

Explanation:
Options C and D are critical for a smooth and successful upgrade. Option C: Backing up the data before making any changes is a crucial safeguard against data loss during the upgrade process. The 'CREATE TABLE AS SELECT command provides an easy way to create a backup of the data before schema modifications. Option D: Implementing robust error handling and logging is essential to monitor the upgrade process and identify any potential issues during schema migration or data transfer. This allows for quick intervention and troubleshooting, minimizing downtime and ensuring data integrity. Option A is incorrect because relying on manual data migration is impractical and error-prone for users. Option B might work for simple data migrations, but it lacks error handling and rollback capabilities. Option E is good practice from security perspective.

NEW QUESTION # 200
You are managing the release of a new version (v2.0) of your Snowflake Native Application that introduces significant schema changes to shared tables accessed by consumer accounts. To minimize disruption during the upgrade, you want to implement a phased rollout while ensuring backward compatibility for consumers who haven't yet upgraded. Which of the following strategies would allow you to achieve this goal effectively? (Select TWO)

A. Create views on top of the new schema in v2.0 that emulate the old schema from vl .0. Grant consumers 'USAGE' on these views until they upgrade.
B. Create separate versions of the shared tables for vl .0 and v2.0, using views to present a unified interface. Grant consumer 'USAGE on view after upgrading.
C. Publish v2.0 without any schema changes and rely on consumers to manually migrate their data to new tables after upgrading.
D. Implement API versioning within your application code and provide compatibility layers to handle requests from consumers running older versions.
E. Use dynamic SQL within stored procedures to conditionally access either the old or new schema based on the consumer's account ID, identified through a custom configuration table.

Answer: A,D

Explanation:
Options A and D are both viable strategies. Creating views on top of the new schema that emulate the old schema provides backward compatibility by maintaining the expected data structure for consumers who have not yet upgraded. Implementing API versioning within the application code allows you to handle requests from consumers running older versions, ensuring that their existing integrations continue to function. Option B introduces unnecessary complexity and performance overhead with dynamic SQL. Option C relies on manual data migration by consumers, which is prone to errors and delays. Option E doubles the storage requirements by creating separate table copies.

NEW QUESTION # 201
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