NAS-C01考試資料，NAS-C01題庫更新

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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. Building and versioning applications 2. Application roles and privileges
Topic 4: Installation, Testing and Troubleshooting	20%	- Validation and debugging 1. Logging and event tables 2. Tracing and troubleshooting workflows

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最新的 SnowPro Core Certification NAS-C01 免費考試真題 (Q110-Q115):

問題 #110
You are developing a Snowflake Native Application that allows customers to enrich their dat a. The application involves executing Javascript UDFs. Which of the following practices are considered unacceptable regarding code practices within the UDFs to ensure the Native App complies with Snowflake's requirements and security best practices?

A. Using Javascript UDFs to access data not needed by the application to save on querying costs.
B. Using JavaScript's eval() function to dynamically execute code based on user input or data retrieved from external sources.
C. Directly embedding secrets (e.g., API keys, passwords) within the Javascript UDF code itself, even if obfuscated.
D. Relying solely on the consumer's network policy to manage external network access from the UDFs.
E. Using the SYSTEM$ALLOWLIST function to restrict external network access from the Javascript UDFs to a specific set of approved domains. Using Snowflake's network rules is also acceptable for newer accounts.

答案：A,B,C,D

解題說明：
Options B, C, D and E are all unacceptable. Embedding secrets (B) directly in code is a major security risk. Using 'eval()' (C) opens the door to code injection vulnerabilities. Relying solely on the consumer's network policy (D) is insufficient; the application provider must also implement security measures. Javascript UDFs should only access required data by the application as this is also one of best practices regarding code practices within the UDFs. Option A is acceptable as it implements whitelisting of external network access.

問題 #111
You are developing a Snowflake Native Application intended for the Snowflake Marketplace. Before listing your application, you want to ensure it adheres to Snowflake's best practices for security, performance, and usability. Which of the following steps should you take to validate your application prior to submission? (Choose three)

A. Submit your application code to a third-party security auditing firm for a comprehensive vulnerability assessment.
B. Deploy the application to a separate Snowflake account and simulate user interactions to validate the application's usability and functionality.
C. Use Snowflake's built-in code scanning tools (if available in the future) to automatically identify security vulnerabilities and code quality issues.
D. Conduct thorough testing of the application on various Snowflake editions and sizes to ensure scalability and performance across different environments.
E. Manually review the application code to identify potential SQL injection vulnerabilities and optimize query performance.

答案：B,D,E

解題說明：
Manual code review for SQL injection and performance (A) is crucial, as no automated tool currently perfectly covers all scenarios. Thorough testing (C) is essential to ensure scalability. Simulating user interactions in a separate account (D) helps validate usability and functionality. Third-party audits (E) are good practice but not explicitly required for initial Marketplace submission. Code scanning tools mentioned in (B) are a hypothetical scenario, which are not currently readily available on Snowflake marketplace at the time this response was constructed.

問題 #112
You are developing a Snowflake Native Application that provides data enrichment services. You want to offer tiered pricing based on the number of API calls made by consumers. Which of the following is the most effective approach to implement usage-based billing and track API call consumption within your application?

A. Use Snowflake's resource monitors to limit the compute resources available to consumers based on their chosen tier.
B. Leverage Snowflake's built-in metering framework using and 'SYSTEM$METER STAGE_STORAGE BYTES' to indirectly estimate API calls.
C. Implement a custom logging mechanism within the application to track API calls and store the logs in a separate Snowflake database, accessible only to the provider. Use scheduled tasks to analyze these logs and generate billing data.
D. Utilize Snowflake's events table to capture API call events based on function executions, enabling precise tracking and reporting of API usage for each consumer.
E. Implement a UDF within the application that increments a counter in a shared table each time an API endpoint is called. Query this table to determine usage.

答案：E

解題說明：
Option A is the most effective as it directly tracks API calls within the application. Resource monitors (B) only control compute costs, not API usage. System$METER functions (C) track storage, notAPl calls. Custom logs (D) introduce complexity and security concerns. Snowflake's events table is a good general approach (E), but requires enabling detailed logging, which has performance implications and might not be available in all accounts. A shared table with a UDF provides the most direct and controllable way to meter usage.

問題 #113
You are creating a Snowflake Native Application that uses Snowpark Container Services. The application needs to process large datasets and requires a Compute Pool with specific GPU resources. You use the following SQL command to create a compute pool:

After creating the compute pool, you notice that your Snowpark Container Service is unable to start. Upon inspecting the 'SYSTEM$GET CP POLICY' for the allowed instance families list does not contain 'GPU NV M'. What is the MOST likely reason for this and how do you rectify it?

A. The account does not have access to GPU-based instance families. Contact Snowflake support to enable GPU instance families for your account.
B. The COMPUTE POOL needs to be explicitly associated to the application package by running ALTER APPLICATION PACKAGE ADD COMPUTE POOL my_compute_poor.
C. The specified instance family is invalid or not supported in your region. Use 'SYSTEM$GET_CP POLICY to verify the available instance families and choose a supported one.
D. You need to explicitly grant the 'USAGE privilege on the instance family to the application role used by the container service using "GRANT USAGE ON INSTANCE FAMILY GPU NV M TO ROLE
E. GPU instance types are automatically enabled as part of SPCS and there is no account restriction.

答案：A

解題說明：
GPU instance families are not automatically enabled for all accounts. Access must be explicitly granted. Without the necessary account permissions, the compute pool creation might succeed, but the container service will fail to start. The account admin needs to contact Snowflake to enable it.

問題 #114
You are tasked with creating a new version (2.0) of a Snowflake Native Application. This new version introduces significant schema changes and requires data migration from the old schema in version 1.0 to the new schem a. You need to write the 'setup.sqr script for version 2.0. Which of the following steps or considerations are MOST critical to ensure a smooth and successful upgrade for existing customers? (Select TWO)

A. Before applying schema changes, backup the existing data using 'CREATE TABLE AS SELECT to safeguard against data loss during the upgrade process.
B. Use external stages for data backup, and leverage Snowflake Data Sharing to provide access to the older version data for consumers after upgrade.
C. Include only the schema changes in 'setup.sql' without any data migration logic. Assume users will manually migrate the data.
D. Use 'setup.sqr to perform a direct 'INSERT INTO ... SELECT FROM operation to move data from the old tables to the new tables after the new tables are created.
E. Implement robust error handling and logging within the 'setup.sqr script to capture any issues during schema migration or data transfer.

答案：A,E

解題說明：
Options C and D are critical for a smooth and successful upgrade. Option C: Backing up the data before making any changes is a crucial safeguard against data loss during the upgrade process. The 'CREATE TABLE AS SELECT command provides an easy way to create a backup of the data before schema modifications. Option D: Implementing robust error handling and logging is essential to monitor the upgrade process and identify any potential issues during schema migration or data transfer. This allows for quick intervention and troubleshooting, minimizing downtime and ensuring data integrity. Option A is incorrect because relying on manual data migration is impractical and error-prone for users. Option B might work for simple data migrations, but it lacks error handling and rollback capabilities. Option E is good practice from security perspective.

問題 #115
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