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Snowflake NAS-C01 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Snowflake Native App Framework Overview	20%	- Understand Snowflake architecture, features, tools, and best practices 1. Cloud-based computing and storage concepts 2. Account security and access management 3. Data sharing and protection mechanisms
Topic 2: Snowflake Native Applications Design and Creation	35%	- Create and manage billing events and cost monitoring techniques 1. Formulate Snowflake native application workflows and procedures - Apply Snowflake best practices while building native application workloads 1. Design scalable applications 2. Build, distribute, and monetize apps in Snowflake
Topic 3: Snowflake Native Applications Deployment	25%	- Build, version, and release native applications 1. Use data sharing for app interoperability 2. Use Snowflake's marketplace
Topic 4: Snowflake Native Applications Installation and Testing	20%	- Install and test native applications 1. Validate application functionality and performance

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Snowflake SnowPro Specialty - Native Apps Sample Questions (Q318-Q323):

NEW QUESTION # 318
Consider the following setup script intended to install a Snowflake Native Application in test mode. The application relies on a custom role 'APP ROLE' and a secured view 'SECURE VIEW'. Analyze the script and identify which line, if any, contains a critical error that would prevent successful testing:

Answer: E

Explanation:
While the code seems correct at first glance, the critical missing piece is the 'GRANT USAGE ON SCHEMA privilege. Without this, the 'APP_ROLE won't be able to access objects within the schema containing the 'SECURE_VIEW'. The rest are valid commands.

NEW QUESTION # 319
A Snowflake Native App provider is working on the consumer-side testing of their application. They need to verify that specific events are being recorded correctly in the Event Table within the consumer's account. They are using the Snowflake Native Apps framework's testing capabilities. Which of the following approaches would be MOST reliable for validating the contents of the Event Table during automated testing?

A. Implement a stored procedure within the Native App that queries the Event Table and returns the results to the provider through a secure output parameter.
B. Use the 'SHOW EXTERNAL TABLES command within the consumer account to inspect the Event Table's structure and contents.
C. Directly query the Event Table from the provider's account using a cross-account secure data share.
D. Grant SELECT privileges on the Event Table to a role in the consumer account that is accessible by the provider's testing framework.
E. Utilize the testing framework's built-in assertion capabilities to verify that specific events are present in the Event Table based on expected values.

Answer: E

Explanation:
Option D, utilizing the testing framework's built-in assertion capabilities, is the MOST reliable and secure approach. The Snowflake Native Apps framework provides dedicated mechanisms for testing and validating application behavior within the consumer's environment, including verifying the contents of Event Tables. Direct access from the provider's account (Option A) is generally not permitted or recommended for security reasons. 'SHOW EXTERNAL TABLES' (Option B) won't work for internal tables created by the Native App. While a stored procedure (Option C) could work, it's less secure and more complex than using the built-in testing framework. Granting SELECT privileges (Option E) poses a security risk and is generally discouraged.

NEW QUESTION # 320
You're packaging a Snowflake Native Application that performs complex analytical computations on data within the consumer's account. This computation involves several intermediate tables and functions, all created within the application package. You want to optimize the application's performance and reduce storage costs in the consumer's account. Which of the following strategies can be employed to achieve these goals, especially considering that intermediate data is not intended to be directly accessible to the consumer?

A. Create all intermediate tables as transient tables. Transient tables do not support Time Travel or Fail-safe, which reduces storage costs, and grant appropriate privileges to application roles.
B. Use external tables to store the intermediate results in cloud storage (e.g., AWS S3), accessed through a secure integration. This minimizes the storage footprint within the consumer's Snowflake account.
C. Create all intermediate tables as standard permanent tables, relying on Snowflake's automatic data compression and storage optimization features to minimize costs. Grant limited privileges to the consumer to control data access.
D. Create all intermediate tables as temporary tables. Temporary tables are automatically dropped at the end of the session, minimizing storage costs and ensuring data privacy.
E. Implement data pruning techniques within the application's logic to delete intermediate data as soon as it is no longer needed, even if permanent tables are used for intermediate steps.

Answer: A,E

Explanation:
Options B and C are correct because they both contribute to optimizing performance and reducing storage costs without compromising data privacy. Transient tables (Option B) reduce storage costs by eliminating Time Travel and Fail-safe, while still allowing for persistence within the consumer's account. Data pruning (Option C) directly reduces the amount of data stored by deleting intermediate results as soon as they are no longer needed. Using temporary tables (Option A) might not be suitable if the application's computation spans multiple sessions or contexts. Using external tables (Option D) would introduce additional complexity and overhead related to data transfer and external storage management. Relying solely on Snowflake's automatic optimization features (Option E) might not be sufficient to minimize storage costs, especially for large intermediate datasets.

NEW QUESTION # 321
You are developing a Snowflake Native Application and want to implement comprehensive cost monitoring for your application's resource consumption within a consumer's Snowflake account. Which of the following approaches provide the MOST effective and granular cost visibility for both you (as the provider) and your consumers?

A. Combine Snowflake's query history (accessed via the ACCOUNT_USAGE schema) with custom tagging of resources and queries within your application. This allows you to attribute resource consumption to specific application features and provide detailed cost breakdowns for consumers.
B. Utilize Snowflake's query history and function within your application to capture query execution statistics. Create views or tables to summarize resource consumption metrics for specific application components.
C. Leverage Snowflake's Resource Monitor feature to set budget limits for the entire consumer account and receive alerts when these limits are exceeded. This provides a general overview of spending but lacks application-specific granularity.
D. Implement custom logging within your application to track resource usage (e.g., CPU time, data scanned) for each function or query. Aggregate and analyze these logs to generate cost reports for consumers.
E. Rely solely on Snowflake's global account-level cost dashboards and resource monitors to track overall Snowflake usage, including the resources consumed by your application. Analyze these dashboards manually to identify potential cost optimization opportunities.

Answer: A

Explanation:
Option E provides the most granular and effective cost monitoring. Using Snowflake's query history from the ACCOUNT USAGE schema allows access to detailed resource consumption data. Combining this with custom tagging (e.g., using 'ALTER WAREHOUSE ... SET TAG allows associating specific queries and resources with your application and its features. This enables creating detailed cost breakdowns for consumers, showing exactly how much each feature is costing them. While B and C are useful, they require more manual effort and custom coding for aggregation. A and D lack application-specific detail. This allows for better chargeback, cost control and optimization.

NEW QUESTION # 322
You are designing a Snowflake Native App that includes a managed task. This managed task updates several tables in a secured schema within the consumer account. To comply with strict security requirements, you need to minimize the privileges granted to the application role while ensuring the managed task executes successfully. Which combination of privileges is absolutely necessary for the application role to successfully execute the managed task and update the tables in the secured schema, assuming the application role already has USAGE on the database and schema?

A. EXECUTE MANAGED TASK, SELECT, INSERT, UPDATE, DELETE on the tables AND MODIFY on the schema.
B. EXECUTE MANAGED TASK, SELECT, INSERT, UPDATE, DELETE on the tables.
C. EXECUTE MANAGED TASK, OWNERSHIP on the secured schema.
D. EXECUTE MANAGED TASK, OWNERSHIP on the tables.
E. EXECUTE MANAGED TASK, MODIFY on the secured schema.

Answer: A

Explanation:
Option D represents the minimum necessary privileges. 'EXECUTE MANAGED TASK' allows the application to run the managed task. 'SELECT , 'INSERT, 'UPDATE', and 'DELETE are required to perform data manipulation operations on the tables. 'MODIFY on the schema allows the application to modify objects within the schema, which is required for updating tables. OWNERSHIP grants excessive privileges and is not required for simply updating data. MODIFY on the schema alone is insufficient without the data manipulation privileges on the table.

NEW QUESTION # 323
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