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Snowflake NAS-C01 Exam Syllabus Topics:

Section	Weight	Objectives
Snowflake Native Applications Deployment	25%	- Build, version, and release native applications 1. Use data sharing for app interoperability 2. Use Snowflake's marketplace
Snowflake Native App Framework Overview	20%	- Understand Snowflake architecture, features, tools, and best practices 1. Data sharing and protection mechanisms 2. Cloud-based computing and storage concepts 3. Account security and access management
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. Build, distribute, and monetize apps in Snowflake 2. Design scalable applications
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 (Q162-Q167):

NEW QUESTION # 162
You are developing a Snowflake Native Application intended for the Snowflake Marketplace. The application provides data transformation services, leveraging external functions (UDFs) that invoke a REST API hosted on AWS Lambd a. You need to ensure the secure and compliant invocation of this external API from your application while adhering to Snowflake's best practices. Which of the following steps represent the MOST secure and recommended approach for configuring and invoking the external function?

A. Use Snowflake's built-in network rules to allow outbound traffic to all AWS IP ranges. Store the API key directly in the UDF definition as an environment variable.
B. Create an API integration object in Snowflake, configuring a secure authentication mechanism such as AWS IAM roles or OAuth 2.0. Define the external function to use the API integration, providing the necessary parameters for authentication. Configure network policies and secrets (using Snowflake secrets) to secure the connection. Ensure your AWS Lambda function validates the incoming request's identity.
C. Expose the AWS Lambda function publicly with no authentication. Configure the external function in Snowflake to point to the public Lambda URL. Document to consumers that the API has no security.
D. Store the AWS Lambda function's URL and credentials (API key) in a configuration table within the Snowflake Native Application package. The external function retrieves these credentials from the configuration table at runtime. Configure an alert if the configuration table is modified.
E. Create an API integration object in Snowflake that stores the AWS Lambda function's URL and credentials (API key) directly within the integration. Grant the necessary permissions to the application's roles to use the API integration. Define the external function to call the Lambda function URL directly, referencing the API key from the integration object.

Answer: B

Explanation:
The MOST secure and recommended approach (Option C) involves creating an API integration object in Snowflake with secure authentication (IAM roles or OAuth 2.0), defining the external function to use the integration, and leveraging network policies and secrets for enhanced security. This aligns with Snowflake's security best practices. Option A is less secure as it stores the API key directly in the integration. Option B is completely insecure. Option D poses a security risk storing credentials within a table. Option E involves blanket outbound access and storing the API key directly in the UDF (bad).

NEW QUESTION # 163
You are troubleshooting a Snowflake Native Application installation that consistently fails with a cryptic error message: 'Internal Application Error: Check application logs for details'. You have access to the application's code package but are unsure how to effectively gather detailed logs and telemetry data from the running application. Which strategy would provide the MOST comprehensive and maintainable observability solution within the Snowflake Native App framework?

A. Implement calls within the application code to write log messages directly to a Snowflake table owned by the application provider. Consumers can then query this table to view logs.
B. Integrate a third-party logging framework (e.g., Log4j) into the application code and configure it to write logs to an external logging service accessible over the internet.
C. Utilize the view to analyze query execution patterns and identify potential bottlenecks within the application's SQL code.
D. Rely solely on the error messages returned by Snowflake during application execution, as these are sufficient for identifying most installation issues.
E. Leverage Snowflake's event tables and configure the application to emit custom events to these tables. Consumers can then subscribe to these events to monitor application behavior.

Answer: A

Explanation:
Option A is the most comprehensive and maintainable solution. 'SYSTEM$LOG' provides a native and secure mechanism for writing logs directly to a Snowflake table controlled by the application provider. This avoids the complexity and security risks of using external logging services (C) and provides structured, queryable log data within the Snowflake environment. B is helpful for performance, D is good, but not a native way. E relies on just error messages.

NEW QUESTION # 164
An application developer is creating a Snowflake Native App that uses a user-defined function (UDF) 'MY UDF' in 'APP SCHEMA' The UDF reads data from a table 'APP TABLE' which is also in "APP SCHEMA'. The application role is 'APP ROLE'. Which of the following 'GRANT' statements are necessary for the application to function correctly within the provider account , assuming the UDF is defined with 'VOLATILE' behavior and is using the caller's rights (i.e., 'EXECUTE AS CALLER)?

Answer: C

Explanation:
The SAPP ROLE' needs 'USAGE' on the database and schema, 'EXECUTE' on the UDF, and 'SELECT on the table the UDF reads from because the UDF executes as the caller and the application needs those permissions within the provider account. 'OWNERSHIP' and 'ALL PRIVILEGES are not necessary, and generally bad practice for least-privilege security.

NEW QUESTION # 165
A customer has installed your Snowflake Native Application, which utilizes a IJDF that performs complex calculations. The customer reports performance issues and sporadic errors. As the application provider, how can you BEST establish telemetry and observability to diagnose the problem, without compromising the customer's data security or privacy?

A. Utilize Snowflake's Query History to track the IJDF's performance in the customer's account and provide recommendations based on the observed query patterns.
B. Instruct the customer to enable verbose logging in their Snowflake account and provide you with the log files for analysis.
C. Request direct access to the customer's Snowflake account to inspect the IJDF execution logs and query performance metrics.
D. Implement logging within the UDF to capture execution time, input parameters (anonymized), and error messages. Store this data in an Event Table within the application provider's account and expose aggregate statistics through a secure API endpoint for the consumer to monitor.
E. Create a shared view on the UDF execution logs in the customer's account, granting you read-only access to the relevant information.

Answer: D

Explanation:
Option B provides a balanced approach to observability and security. By logging anonymized input parameters and execution time within the IJDF and storing the data in an Event Table in the application provider's account, you can analyze performance and identify errors without directly accessing the customer's sensitive data. Exposing aggregate statistics allows the customer to monitor the application's performance. The other options either compromise security or rely on the customer to provide data, which might not be feasible or secure.

NEW QUESTION # 166
Your Snowflake Native Application uses a combination of stored procedures and UDFs. You've implemented robust logging within your application to track usage and potential errors. You want to grant a Snowflake support engineer temporary access to these logs for troubleshooting purposes, minimizing the risk of exposing sensitive consumer dat a. Select the two statements below that describe best practices to ensure security and efficiency.

A. Create a new user role specifically for support and grant this role SELECT privileges on the logging tables without any filtering.
B. Implement row-level security (RLS) policies on the logging table to restrict access based on the support engineer's role.
C. Use a temporary table to copy the relevant log data, mask sensitive information using 'MASKING POLICY or 'ANONYMIZATION' and grant the support engineer SELECT access to the temporary table. Schedule the table to drop automatically after a short period (e.g. 24 hours).
D. Create a dedicated view on the logging table that filters out sensitive data (e.g., PII) and grant the support engineer SELECT privileges on this view.
E. Grant the support engineer OWNERSHIP of the database containing the logging tables. This allows them full access for troubleshooting.

Answer: C,D

Explanation:
Options A and D are the most secure and efficient methods. Option A creates a restricted view, limiting the data the engineer can see. Option D uses masking and temporary tables to provide access to anonymized data for a limited time. Granting ownership (B) provides excessive permissions. RLS (C) is valid, but more complex for temporary access. The best practice is to avoid granting access directly to raw data or granting unnecessary privileges. Option E lacks security considerations by granting direct access to raw unfiltered data.

NEW QUESTION # 167
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