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Snowflake NAS-C01 Exam Syllabus Topics:

Section	Weight	Objectives
Native Application Design and Creation	35%	- Application development workflow 1. Building and versioning applications 2. Application roles and privileges
Deployment and Marketplace Publishing	25%	- Distribution and lifecycle management 1. Version upgrades and release management 2. Marketplace listings and publishing
Snowflake Native App Framework Overview	20%	- Native application concepts and architecture 1. Application packages and structure 2. Manifest files and setup scripts
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 認定 NAS-C01 試験問題 (Q292-Q297):

質問 # 292
You are developing a Snowflake Native Application that leverages Snowflake Event Tables to log application events. You notice that while the application is successfully writing events to the event table, consumers are reporting that they cannot query the event table. Assume that you have successfully implemented the logging mechanism in your code and data is being logged. Consider the following manifest section:

Which of the following steps is MOST critical to resolve this issue and ensure consumers can query the event table?

A. Confirm that the event table is explicitly listed in the 'shared_objects' section of the application manifest with the correct 'object_name', 'source_type' set to event_table', and 'privileges' including 'SELECT'.
B. Grant the 'APPLY MASKING POLICY privilege to the application role on the event table to enable consumers to see masked data, and the REFERENCE_USAGE privilege on the database and schema that contains the event table.
C. Ensure that the consumer account has the 'MONITOR privilege on the application, as this is required to query event tables associated with native applications.
D. Verify that the application role defined in the application manifest has been granted the 'SELECT privilege on the event table within the provider account.
E. The correct approach is not listed, as consumers cannot directly query event tables associated with Snowflake Native Applications for security reasons.

正解：A

解説：
The most critical step is to ensure that the event table is correctly configured in the application manifest under the 'shared_objectS section, with the 'source_type' defined as 'event_table' and the 'privileges' including ' SELECT. This explicitly tells Snowflake that the event table is intended to be shared with consumers and that they should have the 'SELECT privilege on it. Without this, consumers will not be able to query the event table, regardless of other privileges. Other options are either not relevant or do not address the root cause of the problem. Option A, option B and option D are all wrong, as they are not related to the root cause of the problem. Option E, is correct as it ensures masking policy is not a problem. The privileges are not relevant in this case.

質問 # 293
Your Snowflake Native Application, 'Advanced Analytics Suite', utilizes dynamically generated SQL queries based on user input. To prevent SQL injection vulnerabilities when publishing this application, which of the following coding practices should you implement?

A. Sanitize all user inputs using Snowflake's built-in functions like 'regexp_replace' or 'replace' to remove potentially harmful characters or SQL keywords.
B. Rely solely on Snowflake's built-in security features and assume they automatically prevent all SQL injection attempts.
C. Limit user input to a predefined set of options through dropdown menus or radio buttons to avoid arbitrary SQL code injection.
D. Use parameterized queries (also known as prepared statements) to separate SQL code from user-supplied data, treating user input as data rather than executable code.
E. Enclose all dynamically generated SQL queries within a 'TRY...CATCH' block to catch and handle any potential SQL injection errors.

正解：A、C、D

解説：
Parameterized queries are the most effective way to prevent SQL injection. Sanitizing input also mitigates the risk. Limiting user input to a defined set is useful in general for usability and for SQL injection. Snowflake's built-in features do not prevent against this. 'TRY...CATCH' doesn't prevent injection, but rather catches it after the attempt.

質問 # 294
You are designing a Snowflake Native Application that needs to store temporary data for processing, which should be cleaned up when the application is uninstalled from the consumer account. Which of the following options would be the MOST appropriate and secure way to manage this temporary data?

A. Create a schema named 'temp' in the application database using the APPLICATION role. The application setup script will create temporary tables inside this schema. Use an uninstall script to drop the entire schema upon uninstall.
B. Create a temporary table in the application database using the APPLICATION role. The application is responsible for dropping the table when uninstalled.
C. Create an external stage linked to cloud storage. Store temporary data in cloud storage and implement cleanup logic using an uninstall script.
D. Create a temporary stage and use it to persist data. Use a SQL statement in your uninstall script to remove the data from the stage when the application is uninstalled.
E. Create a table with a retention period in the application database using the APPLICATION role. Configure the retention period to be very short (e.g., 1 day).

正解：A

解説：
Creating a dedicated schema for temporary tables and dropping the entire schema in the uninstall script is the most secure and reliable way to manage temporary data. Using the APPLICATION role ensures that only the application can access and manage these tables. This approach guarantees that all temporary data is cleaned up when the application is uninstalled, without relying on external mechanisms or application logic running after uninstall.

質問 # 295
You are developing a Snowflake Native Application that processes sensitive dat a. During the application lifecycle management, including version updates, what steps should you take to ensure the data security and privacy of the consumers' data, especially considering that your development team might need access to a subset of the data for testing?

A. Implement data masking and anonymization techniques to create a sanitized test dataset derived from the consumer's data. Provide the development team with access only to the masked data, via data sharing from the producer to consumer account.
B. Use Snowflake's data classification features to identify sensitive data and implement row-level security to restrict access to the development team.
C. Grant the development team direct access to the consumer's data warehouse to facilitate testing. Ensure proper auditing is enabled.
D. Utilize Snowflake's external functions to process the data in a secure enclave outside of Snowflake, minimizing the risk of data exposure. Ensure external functions called are encrypted.
E. Create a separate Snowflake account for testing and populate it with synthetic data that mimics the structure and characteristics of the consumer's data.

正解：A、E

解説：
The best answers are (B) and (D). Providing direct access to consumer data (A) is a major security risk. Option (B) utilizes masking/anonymization, crucial for protecting sensitive data. Data is shared from Producer account to Consumer accounts with masking policies applied for developers testing/access. Option (D) with synthetic data offers a secure testing environment. While data classification (C) and row-level security are useful, they aren't sufficient to protect data during development and testing, as developers could still potentially access sensitive data. External functions (E) could be used in conjunction with options B or D, but aren't a standalone solution.

質問 # 296
A financial services company is developing a Snowflake Native App. It needs to securely access external market data via an API and store the processed results in a consumer-provided table. Considering security best practices and the Snowflake Native App Framework limitations, which of the following approaches represents the MOST secure and recommended implementation for this scenario?

A. Use a Snowflake external function with an API integration that passes the API key as a parameter. Store the processed data in a consumer-provided table using dynamic SQL.
B. Utilize a Java UDF with the 'network access' capability to call the external API directly from within the UDF. Store the processed data directly into a consumer- provided table by using the application role with INSERT privilege granted by consumer.
C. Utilize a Python UDF with the 'external network access' capability to call the external API directly from within the UDF. Store the processed data directly into a consumer-provided table by using the application role. API key is stored in snowflake secret.
D. Employ a Snowflake external function, configured with a service account, which invokes an API integration stored in the provider account. The external function returns the data, which is then inserted into a consumer-owned table using a stored procedure and INSERT statements, where the application role has been granted the necessary INSERT privilege.
E. Use a Snowflake external function with an API integration, configured with a service account that has the necessary permissions to access the API. Store the processed data in a consumer-provided table using stored procedures and INSERT statements using the application role.

正解：D

解説：
Extemal functions with API integrations are recommended for secure external API access. Using a service account for authentication is a best practice. Stored procedures allow for managed access control to consumer-provided tables. It is safer and allows for managed security. Option E combines these best practices for a secure and robust solution.

質問 # 297
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