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Snowflake NAS-C01 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Deployment and Marketplace Publishing	25%	- Distribution and lifecycle management 1. Version upgrades and release management 2. Marketplace listings and publishing
Topic 2: Snowflake Native App Framework Overview	20%	- Native application concepts and architecture 1. Manifest files and setup scripts 2. Application packages and structure
Topic 3: Native Application Design and Creation	35%	- Application development workflow 1. Application roles and privileges 2. Building and versioning applications
Topic 4: Installation, Testing and Troubleshooting	20%	- Validation and debugging 1. Logging and event tables 2. Tracing and troubleshooting workflows

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Snowflake SnowPro Specialty - Native Apps Sample Questions (Q352-Q357):

NEW QUESTION # 352
You are managing a Snowflake Native Application that provides data enrichment services. Over time, you've accumulated several application package versions: v1 .0 (initial release), v1.1 (bug fixes), v2.0 (new features and schema changes), and v2.1 (performance improvements for v2.0). Some consumers are still using v1 .0, while others have upgraded to v2.1. You need to retire v1.0 to reduce maintenance overhead. Which of the following actions and considerations are MOST important when deprecating vl .0? Select TWO that apply.

A. Identify consumers still using v1.0. Communicate the deprecation timeline and provide clear instructions on how to upgrade to a supported version. Offer support during the transition.
B. Keep v1.0 indefinitely to ensure compatibility with all existing application instances, regardless of usage.
C. Automatically migrate all consumers still using v1.0 to the latest version (v2.1 ) without their consent to simplify management.
D. Immediately drop version v1.0 from the application package to free up storage space.
E. Update the application's metadata in the Snowflake Marketplace to indicate that v1.0 is no longer supported.

Answer: A,E

Explanation:
Options B and C are the most crucial. It's vital to communicate with consumers still using v1.0, providing ample notice and support for upgrading. Updating the Marketplace listing accurately reflects the application's supported versions. Option A without considering user base is not optimal. Option D forcing upgrades could lead to data loss if the user doesn't plan to upgrade. Option E is not practical to keep legacy versions forever. The optimal approach involves providing ample notice, migration support, and updating the application listing.

NEW QUESTION # 353
Consider the following Python code snippet used within a Streamlit application deployed as a Snowflake Native App:

A. The code will execute successfully, assuming that Smy_table' exists, and the 'app_public' role has at least SELECT privilege on 'my_table' and USAGE privilege on the schema containing 'my_table' .
B. The code requires using the 'snowflake.snowpark' library instead of for optimized performance within native apps.
C. The code will fail because the Snowflake Connector for Python requires explicit connection parameters to be defined even within a Native App context.
D. The code will fail with a privilege error if the 'app_public' role does not have OWNERSHIP of the table 'my_table' .
E. The code will execute without any privilege errors, assuming the necessary database and schema privileges are granted to the 'app_public' role.

Answer: A

Explanation:
The correct answer is D. When running within a Snowflake Native App, the Snowflake Connector for Python automatically uses the current session context, eliminating the need for explicit connection parameters. The code will execute successfully provided that the 'app_public' role has the appropriate privileges, which includes 'SELECT on 'my_table' and 'USAGE on the schema containing the table. Option A is partially correct, but option D provides more specific privilege requirements. Option B is incorrect because explicit connections aren't needed. Option C is incorrect because 'OWNERSHIP' isn't required, only 'SELECT. Option E is incorrect; using 'snowflake.snowpark' may offer performance benefits for data processing, but using "snowflake.connectofl is viable for simple queries.

NEW QUESTION # 354
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. 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.
C. 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'.
D. Rely solely on Snowflake's built-in monitoring tools to detect and report external function failures.
E. Use snowflake pipes to write to a logging table in provider account.

Answer: A,B

Explanation:
Options B and D are the best choices: B: Implementing a retry mechanism with exponential backoff within the external function allows the application to automatically recover from transient errors. Logging errors and retries to a secure UDF provides valuable insights into the frequency and nature of the outages. The logging table being in the provider account ensures control and security. D: A queueing system adds resilience by buffering requests. This allows the application to continue processing even if the external function is temporarily unavailable. Logging failures to Snowflake Event Tables provides a centralized, secure, and auditable record of the outages. Option A is incorrect because writing to the consumer's event logs directly isn't possible. Option C is insufficient because it lacks proactive error handling and detailed logging. Option E, while a way to ingest data, doesn't address the retry mechanism or provide context for failure analysis within the external function call.

NEW QUESTION # 355
Your Snowflake Native App's setup script needs to create a new schema and grant specific privileges to a custom role defined within the application. However, the setup script is failing with an error related to insufficient privileges. You've verified that the application role has the OWNERSHIP privilege on the application package. What is the MOST likely cause of this issue and how can it be resolved?

A. Setup scripts cannot create schemas, as schemas are automatically provisioned. Only tables, views and other objects can be created by the script.
B. The setup script must explicitly activate the application role before creating the schema. Add the following line to the setup script: 'USE ROLE
C. The application role lacks the CREATE SCHEMA privilege on the database. Grant the CREATE SCHEMA privilege on the database to the application role using 'GRANT CREATE SCHEMA ON DATABASE TO APPLICATION ROLE
D. The setup script is attempting to create a schema with the same name as an existing schema in the consumer account. Ensure the schema name is unique within the consumer account.
E. The application role needs the USAGE privilege on the database. Grant USAGE on the database to the application role using 'GRANT USAGE ON DATABASE TO APPLICATION ROLE

Answer: B,C

Explanation:
The application role needs the CREATE SCHEMA privilege on the database to create new schemas (A). Additionally, the setup script must activate the application role before executing any commands that require that role's privileges (D). Schema creation is allowed by setup scripts. USAGE privilege and schema uniqueness issues are less relevant if CREATE SCHEMA is missing and the role is not activated within the setup script.

NEW QUESTION # 356
You are creating a Snowflake Native App using the Native Apps Framework. Your application needs to perform a task that must execute on a regular schedule (e.g., daily data refresh). Which Snowflake feature(s) can you leverage to achieve this, and what considerations are important when using them within the Native App context?

A. Snowflake Streams should be used to track data changes and trigger the refresh process. The Stream must be defined in the application package, and a separate task can be configured to consume the stream data.
B. Use Snowflake Alerts with a cron schedule to trigger a stored procedure owned by the APPLICATION role. The procedure executes any scheduled task.
C. Snowflake Pipes are the preferred method for scheduled data ingestion within Native Apps, as they are designed for continuous data loading from external sources.
D. Snowflake Tasks can be used directly within the Native App, but you must ensure the task definition is part of the application package and the task is resumed upon installation in the consumer account. The task must use the APPLICATION role.
E. You should implement an external scheduler (e.g., AWS Lambda, Azure Functions) that triggers a Snowflake Stored Procedure via the Snowflake API. The Stored Procedure should be owned by the APPLICATION role.

Answer: B,D

Explanation:
Snowflake Tasks provide a native scheduling mechanism within Snowflake. When using them in a Native App, the task definition must be included in the application package. The task MUST be owned by the APPLICATION role to ensure proper security and access control. External schedulers introduce unnecessary complexity and dependency. Streams are for change data capture, not direct scheduling. Alerts provide a lightweight scheduling mechanism for smaller tasks. Pipes are specifically for continuous data loading from external sources.

NEW QUESTION # 357
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