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Snowflake NAS-C01 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Snowflake Native Applications Deployment	25%	- Build, version, and release native applications 1. Use Snowflake's marketplace 2. Use data sharing for app interoperability
Topic 2: Snowflake Native App Framework Overview	20%	- Understand Snowflake architecture, features, tools, and best practices 1. Account security and access management 2. Data sharing and protection mechanisms 3. Cloud-based computing and storage concepts
Topic 3: Snowflake Native Applications Design and Creation	35%	- Apply Snowflake best practices while building native application workloads 1. Build, distribute, and monetize apps in Snowflake 2. Design scalable applications - Create and manage billing events and cost monitoring techniques 1. Formulate Snowflake native application workflows and procedures
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 (Q356-Q361):

NEW QUESTION # 356
A data analytics company, 'Data Insights Pro', develops a Snowflake Native Application that provides advanced data visualizations. They want to publish this application on the Snowflake Marketplace as a public listing. Which of the following steps are required in addition to the standard application creation and packaging, specifically focusing on the public listing aspects? Assume the necessary roles and privileges are already granted.

A. Define a pricing model using Snowflake's monetization features and configure the listing visibility to 'Public'.
B. Create a detailed listing description, including features, benefits, and example use cases, and define the support channels.
C. Implement robust application usage monitoring and metering to ensure accurate billing if a commercial model is used.
D. Ensure that the application is compatible with all Snowflake regions before publishing to a public listing.
E. Submit the application package to Snowflake for security and compliance review before making it available on the Marketplace.

Answer: A,B,E

Explanation:
Publishing a Snowflake Native Application to the public Marketplace requires several key steps beyond basic application development. Defining a pricing model and setting visibility to 'Public' (A) are crucial for a commercial app. Submitting the package for review (C) is mandatory for public listings to ensure security and compliance. A detailed listing description (D) improves discoverability and user understanding. While monitoring (B) is recommended, and region compatibility (E) is ideal, they aren't strictly required steps specifically for the public listing itself, although Snowflake's listing process will likely have checks related to this.

NEW QUESTION # 357
In a Snowflake Native Application, you are using Streamlit to present data to different user roles. You need to dynamically adjust the Streamlit UI based on the user's privileges. Specifically, if a user has the 'MODIFY' privilege on a particular table, you want to display an 'Edit' button. Otherwise, the button should be hidden. Assuming you are already connected to Snowflake via Streamlit and have the user's role information, which of the following approaches is the most secure and efficient way to determine if the current user's role has the 'MODIFY' privilege on the 'MY TABLE table in the 'MY SCHEMA' schema? (Select two)

A. Implement a custom stored procedure in Snowflake that encapsulates the privilege check logic. Call this stored procedure from Streamlit, passing the schema, table, and privilege name as parameters. Ensure the stored procedure runs with caller's rights.
B. If this hypothetical function return 'TRUE', then the user_role has privilege. Execute the SQL query: 'SELECT COUNT( ) FROM INFORMATION SCHEMA.TABLE PRIVILEGES WHERE GRANTEE = CURRENT ROLE() AND TABLE_SCHEMA = 'MY_SCHEMA' AND TABLE_NAME = 'MY_TABLE' AND PRIVILEGE = 'MODIFY". Check if the count is greater than 0.
C. Utilize the 'snowflake.permissions' module (if it existed) and call a hypothetical function like 'MY TABLE', 'MY_SCHEMA', user_role)'.
D. Execute the SQL query SELECT CURRENT ROLE()' to fetch the user's current role, then execute 'SHOW GRANTS TO ROLE and parse the output in Python to check for the 'MODIFY privilege on '
E. Execute the SQL query SELECT HAS PRIVILEGE('MODIFY', 'TABLE', 'MY SCHEMA.MY TABLE')' as the application role. If the result is 'TRUE', then the application role has privilege.

Answer: A,B

Explanation:
Options D and E are the most secure and efficient approaches. Option D is secure because it checks INFORMATION SCHEMA with the CURRENT_ROLE, ensuring it respects the user's current session. It's also relatively efficient. Option E is also a strong choice, using a stored procedure with caller's rights. This encapsulates the logic within Snowflake, potentially improving performance and security. The stored procedure also ensures that the privilege check is performed within the Snowflake environment with the appropriate context. Option A is less efficient because it involves parsing the output of 'SHOW GRANTS, which can be complex and brittle. It requires more code and is prone to errors. Option B is incorrect, HAS PRIVILEGE does not support privileges on tables. Option C is incorrect, because the snowflake.permissions library does not exist.

NEW QUESTION # 358
You are developing a Snowflake Native Application that requires maintaining multiple live versions for different customer segments. Some customers need to stay on an older version for compatibility reasons, while new customers should use the latest version. How can you best manage these different versions using Snowflake Native App features?

A. By using streams and tasks to replicate data and logic between different versions of the application, ensuring data consistency.
B. By leveraging the 'APPLICATION ROLE to control access to different versions using conditional logic within the application code.
C. By creating separate Snowflake accounts for each customer segment, each with a different version of the application installed.
D. By implementing a custom versioning system within the application's stored procedures and functions, relying on consumer-provided parameters to determine which version of the logic to execute.
E. By creating separate application packages for each version and managing them independently, allowing consumers to choose which version to install. The 'APPLICATION ROLE is used to define application-level access.

Answer: E

Explanation:
The correct answer is (C). Snowflake Native Apps allow you to create separate application packages for each version. Consumers can then choose the version that best suits their needs. Using the 'APPLICATION ROLE allows for controlling access to different resources within the application, ensuring proper data governance and security. Options A, D, and E are less efficient or not directly supported by the Snowflake Native App framework. Option B is partially correct that you can leverage application role but version control is through separate application packages.

NEW QUESTION # 359
You are tasked with developing a Snowflake Native App that leverages a Partner provided secret using an external function which will send the processed data to their system. You plan to store the OAuth information to be used by the external function in a secret object managed by Snowflake. Which of the following steps are NECESSARY to ensure secure and correct setup of this app? Select all the options that apply.

A. Store the OAuth token directly within the external function's definition as a variable, ensuring it is encrypted using AES ENCRYPT before deployment.
B. Create a Secret object in Snowflake to store the OAuth token securely and reference it within the external function using 'SYSTEM$GET_SECRET function. Ensure proper access rights on the Secret object.
C. Grant the 'IMPORTED PRIVILEGES privilege on the database containing the Secret object to the application role. GRANT IMPORTED PRIVILEGES ON DATABASE TO APPLICATION ROLE '
D. Bypass storing the OAuth token in Snowflake and instead rely on passing it as a parameter to the external function from the consumer account, documented clearly for the consumer's security responsibilities.
E. Grant the 'USAGE privilege on the API integration to the application role if the external function requires an API integration. GRANT USAGE ON API INTEGRATION TO APPLICATION ROLE

Answer: B,C,E

Explanation:
Storing the OAuth token directly in the function (A) is insecure. Passing the OAuth token from the consumer (E) is not a recommended practice. The correct approach is to use Snowflake's Secret object (B) to store the token securely. The application role needs 'IMPORTED PRIVILEGES on the database containing the secret (C) to access the secret. The 'USAGE privilege on the API integration(D) is also needed if the external function leverages an API integration.

NEW QUESTION # 360
You are the provider of a Snowflake Native Application built with Scal
a. Consumers are reporting that a specific UDF, 'calculate_risk' , occasionally returns incorrect results for certain input datasets. You suspect an issue with the UDF's logic but struggle to reproduce the problem in your development environment. Given that you cannot directly access the consumer's data, what are the most effective strategies for diagnosing this issue?

A. Implement logging within the 'calculate_risk' UDF to capture input parameters and output values for a sample of executions. Store these logs in a secure table accessible only to the provider, subject to data governance policies. Utilize Snowflake's masking policies to mask the sensitive data and allow the provider to see only masked version, not the actual sensitive data.
B. Request the consumer to execute the UDF with the problematic datasets and provide the resulting incorrect output. Then, use Snowflake's query history and lineage features to trace the data flow and identify potential issues in the UDF's logic.
C. Implement comprehensive unit tests for the 'calculate_risk' UDF, covering a wide range of input values and edge cases. Ensure these tests pass before deploying new versions of the application.
D. Request the consumer to provide anonymized sample data that triggers the issue. Use this data in your development environment to debug the UDF.
E. Modify the UDF to include a 'debug' mode that performs additional checks and assertions. The consumer can enable this mode to collect diagnostic information and report any failures back to the provider. Consumer shares the error logs/code

Answer: A,C,E

Explanation:
Options B, C, and D are all valid strategies. Robust unit testing (B) helps prevent future issues. Logging input/output (C) provides valuable insights into UDF behavior. A debug mode (D) allows consumers to assist in diagnostics without exposing their data directly. Option A could violate data privacy, and option E is less effective as query history might not reveal the root cause within the UDF's logic.

NEW QUESTION # 361
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