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Snowflake NAS-C01 Exam Syllabus Topics:

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

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Snowflake SnowPro Specialty - Native Apps Sample Questions (Q148-Q153):

NEW QUESTION # 148
You have a Snowflake Native Application that utilizes a managed table. After upgrading your application to version 2.0, some users report that they are missing data in the managed table. After investigation, you realize version 2.0 changed the schema of the managed table and also did not properly migrate all the data from old format into new format. Which of the following steps should be taken to address the missing data after upgrading a Snowflake Native Application?

A. Rollback all users to version 1.0 and then perform the schema migration directly on the consumer's account using custom SQL scripts.
B. Create a new version 2.1. Within version 2.1's setup script, dynamically detect if the application is an upgrade from 1.0 and, if so, execute the data migration script to transfer data from the old schema to the new schema.
C. Manually insert the missing data into the managed table in each consumer's account, contacting affected users to coordinate the data entry.
D. Since managed tables are fully managed by Snowflake, contact Snowflake support to initiate a data recovery process in each affected consumer account.
E. Create a new version 2.1 that includes a data migration script to transfer data from the old schema (as it existed in version 1.0) to the new schema in version 2.0. Use release directives to upgrade affected users to version 2.1 after staging.

Answer: B

Explanation:
Option D is the correct approach. By dynamically detecting the upgrade and running a data migration script, the application ensures data integrity during the upgrade process. The data migration script will convert data from old format to new format. Option A is almost correct, however we don't assume the user is at 1.0. The application may be updated from earlier versions as well. Option B is not feasible due to operational overhead of doing it for each consumers and requires high privilege on consumer side which is not allowed for native apps. Option C is not practical or scalable. Managed tables are managed by your application code within the package, so Snowflake support won't perform data manipulation (Option E).

NEW QUESTION # 149
You are deploying a containerized application within a Snowflake Native App using Snowpark Container Services (SPCS). This application needs to interact with Snowflake's metadata, specifically retrieving information about tables and views within the customer's account. Which of the following methods is the MOST appropriate and secure way to achieve this?

A. Creating a REST endpoint within the container that accepts SQL queries as input and executes them against Snowflake using the application's internal service account, then returns the results as JSON.
B. Leveraging the Snowpark Python API within the container to execute SQL queries against the Snowflake INFORMATION_SCHEMA views.
C. Using the 'snowflake-jdbc' driver directly within the container, configured with the customer's Snowflake account credentials, which are passed as environment variables.
D. Exposing a Snowflake UDF as an API endpoint that the container can call to retrieve metadata. The UDF executes the SQL queries against the INFORMATION SCHEMA.
E. Using the Snowflake CLI (snowsql) within the container, configured with the application's service account credentials, to execute queries against the INFORMATION SCHEMA.

Answer: B

Explanation:
Option B is the most appropriate and secure method. Snowpark Python API provides a secure and managed way to interact with Snowflake, leveraging the application's service account without exposing sensitive credentials directly within the container or requiring direct JDBC connections. Options A is highly insecure due to exposing credentials. Options C is viable, but requires extra management and maintenance of REST endpoint. Option D is possible but less secure than B for native apps. Option E adds unnecessary complexity.

NEW QUESTION # 150
A consumer installs a Snowflake Native App that collects usage statistics. The app uses an internal stage to store temporary data before aggregating it and sending it to the provider. The consumer notices that the internal stage is consuming a significant amount of storage and wants to understand if they are being charged for this storage. As a consumer, what level of visibility and control do you have over the storage costs associated with the internal stage created and managed by the installed Snowflake Native App?

A. The consumer can view the overall storage consumption of the application but cannot differentiate between the internal stage and other data stored by the application.
B. The consumer can only see the stage's metadata but cannot see the data residing in it.
C. The consumer is billed for the storage used by the internal stage, but they have no direct visibility into its usage or control over its lifecycle. The provider manages the stage's lifecycle.
D. The consumer has no visibility into the stage's storage consumption or control over its lifecycle. All costs are borne by the application provider.
E. The consumer has full visibility into the stage's storage consumption through the Snowflake web interface and can directly manage the stage's lifecycle to control costs.

Answer: C

Explanation:
As a consumer, you are billed for the storage used by the application's internal stage. However, you have no direct visibility into the stage's usage or control over its lifecycle. The application provider manages the stage and data within. The consumer is billed for the storage within their account that the application uses. They are unaware of the data details within the application but still responsible for charges.

NEW QUESTION # 151
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. Wrap the 'df.write' operation in a retry mechanism with exponential backoff to handle intermittent network errors.
B. Leverage Snowflake's 'TRANSACTIONAL_REPLICATION' to replicate the operations to minimize data loss in between failures.
C. Use a 'MERGE statement to selectively update only changed rows, while ignoring existing ones.
D. Create a temporary table, write the transformed data to the temporary table, and then atomically rename the temporary table to the original table name.
E.

Answer: D

Explanation:
Option C provides the best approach to guarantee idempotency. Creating a temporary table, writing the data to it, and then atomically renaming it ensures that the table is either fully updated or remains in its original state. If failures happen after the creation of temporary table and before it is renamed (a failure which is assumed to be very rare), then, after code recovery and execution, the table would be first created and then atomically renamed, thus achieving idempotency. Retrying writes (B) can help with network errors but doesn't inherently guarantee idempotency if the write partially succeeds before the error. 'append' (A) leads to duplicate data in the event of re-execution. 'MERGE (D) might lead to data inconsistency depending on the transformation logic. 'TRANSACTIONAL REPLICATION' (E) is a good approach for disaster recovery but will not help to resume the execution, after recovering the code after failure, at the point where it failed before.

NEW QUESTION # 152
You are developing a Streamlit application within a Snowflake Native Application that needs to access a secured view named 'sensitive_data' in the application's container. This view exposes aggregated and anonymized dat a. What minimum set of privileges must be granted to the 'app_public' application role to allow users to query this view from the Streamlit application?

A. GRANT SELECT ON VIEW .application.sensitive_data TO APPLICATION ROLE app_public;
B. GRANT USAGE ON SCHEMA application TO APPLICATION ROLE app_public; GRANT SELECT ON VIEW .application.sensitive_data TO APPLICATION ROLE app_public;
C. GRANT USAGE ON DATABASE TO APPLICATION ROLE app_public; GRANT SELECT ON VIEW .application.sensitive_data TO APPLICATION ROLE app_public;
D. GRANT USAGE ON DATABASE .application TO APPLICATION ROLE app_public; GRANT SELECT ON VIEW .application.sensitive_data TO APPLICATION ROLE app_public;
E. GRANT USAGE ON SCHEMA application TO APPLICATION ROLE app_public; GRANT ALL PRIVILEGES ON VIEW application.sensitive_data TO APPLICATION ROLE app_public;

Answer: B

Explanation:
The correct answer is B. To access a view, you need 'SELECT privilege on the view itself and USAGE privilege on the schema containing the view. 'APPLICATION' schema is the automatically generated schema, and should be used. Option A is incorrect because the USAGE privilege should be granted on the schema, not the database. Option C is incorrect because the USAGE privilege is needed on the schema, not just the database. Option D is incorrect because granting ALL PRIVILEGES is generally not a best practice for security and not needed. Option E is incorrect because you must grant usage on the Schema.

NEW QUESTION # 153
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