NAS-C01考題資源 - NAS-C01考證

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Snowflake NAS-C01 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Application Installation & Testing	20%	- Testing strategies and validation - Debugging and troubleshooting - Installation procedures and dependencies - Provider and consumer workflows
Topic 2: Application Deployment & Distribution	25%	- Upgrades and lifecycle management - Listing types and monetization - Versioning and release management - Publishing to Snowflake Marketplace
Topic 3: Application Design & Creation	35%	- Application packages and objects - Manifest files and configuration - Setup scripts and application logic - Native App Framework architecture - Security and access control
Topic 4: Advanced Features & Management	20%	- Event logging and telemetry - Billing events and cost monitoring - Governance and compliance - Integration with Snowpark and external services

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最新的 SnowPro Core Certification NAS-C01 免費考試真題 (Q226-Q231):

問題 #226
A Snowflake Native Application relies on a warehouse named 'ANALYTICS WH' for processing dat a. The application provider wants to implement a cost-effective strategy for managing the warehouse, ensuring it's only active when needed. Which of the following combinations of warehouse parameters will lead to the most efficient cost management?

答案：B

解題說明：
The most cost-effective strategy involves using a smaller warehouse size ('XSMALL') and setting 'AUTO SUSPEND to a low value (60 seconds) to minimize idle time. 'AUTO_RESUME = TRUE ensures the warehouse starts automatically when queries are submitted. Option A uses a large warehouse size, which is more expensive. Option B has 'AUTO RESUME = FALSE, meaning the warehouse won't automatically start when needed. Option C uses a medium warehouse size, which is more expensive than XSMALL. Option E uses a Large warehouse and never suspends, resulting in very high cost.

問題 #227
You are tasked with developing a Snowflake Native Application that allows consumers to securely access and analyze data from an external API. Your application needs to handle API authentication using OAuth 2.0, refresh tokens automatically, and provide a user- friendly interface for consumers to configure the API connection. Which of the following steps are CRITICAL for ensuring secure and seamless integration with the external API within your Snowflake Native Application?

A. Utilize Snowflake's Secret objects to securely store the client ID and client secret. Use the object within your Snowflake Native App to make the application consumer-configurable.
B. Store the client ID and client secret directly within the application's setup script.
C. Require consumers to manually configure the OAuth 2.0 connection details (client ID, client secret, token endpoint, etc.) within their Snowflake account and then pass these details as parameters to your application's functions.
D. Use Snowflake's External Functions to call an API Gateway to obtain authentication tokens and then make calls to External API.
E. Embed the OAuth 2.0 client library directly into your application's code and handle token management within the application logic.

答案：A,D

解題說明：
Options B and D represent the most secure and manageable approaches. Option B leverages Snowflake's built-in security features for storing credentials and allows for consumer configuration through the 'EXTERNAL_OAUTH_INTEGRATION'. This decouples the credentials from the application code and allows for updates without requiring application redeployment. Option D uses an API Gateway, adding an abstraction layer for security and management. Options A and E expose credentials directly within the application and are highly insecure. Option C places an undue burden on the consumer and increases the risk of misconfiguration and security vulnerabilities.

問題 #228
Which of the following statements regarding warehouse sizing and configuration for a Snowflake Native Application are true?

A. Warehouse size cannot be changed after it is created.
B. The 'MAX CONCURRENCY LEVEL' parameter helps manage the number of queries that can be executed concurrently on the warehouse.
C. The parameter determines if the warehouse is used for data loading vs query processing.
D. A larger warehouse size always guarantees faster query execution, regardless of the query's characteristics.
E. The 'AUTO SUSPEND' parameter controls how long a warehouse remains active after executing queries, impacting cost.

答案：B,E

解題說明：
Warehouse size can be changed after creation using 'ALTER WAREHOUSE statement. A larger warehouse is not always faster; it depends on the query's design and data volume. The 'AUTO SUSPEND' parameter is crucial for cost control as it determines the idle time before automatic suspension. While Snowflake has virtual warehouses, the ' WAREHOUSE_TYPE parameter doesn't exist. 'MAX CONCURRENCY LEVEL' is essential for managing concurrent queries and preventing resource contention, improving overall application performance.

問題 #229
You have a Snowflake Native Application listed on the Marketplace. You need to update the application to add a new feature, which requires changes to both the application code and the database schema within the application package. You want to ensure a seamless upgrade experience for existing consumers, minimizing downtime and data loss. What is the MOST appropriate strategy for deploying this update?

A. Create a new version of the application package with the updated code and schema. Consumers will automatically be upgraded to the new version upon release.
B. Modify the existing application package directly with the updated code and schema. This will automatically update the application for all consumers.
C. Create a new version of the application package. Include a setup script that detects the existing version of the application and performs any necessary schema migrations or data transformations. Announce the new version and instruct consumers to manually upgrade.
D. Create a new version of the application package. Before releasing, use a feature flag system to gradually roll out the new feature to a subset of consumers, monitoring for any issues before a full release.
E. Create a new version of the application package. Implement a Snowpark Python stored procedure within the new version that handles schema migrations and data transformations. This procedure should be automatically executed during the upgrade process.

答案：C,D

解題說明：
Option B is a strong approach because it uses a setup script to handle schema migrations and ensures compatibility with existing versions. Consumers need to be informed and initiate the upgrade, giving them control. Option D, using feature flags for a gradual rollout, is a best practice for minimizing risk and monitoring the impact of the changes on a smaller user base before a full deployment. Option A is risky because automatic upgrades without proper migration handling can lead to data loss or application errors. Option C, while technically feasible, is less conventional and might not be as easily managed as a setup script for schema changes. Option E is incorrect and impossible; you cannot directly modify an existing application package that has been released. A new version must be created.

問題 #230
You are designing a Snowflake Native Application that allows consumers to upload data files to a stage within their account, which your application then processes. To enhance security and data governance, you need to implement a callback function that validates the uploaded data before it is processed by your application. The callback function must verify the file format and size. Which of the following options correctly outlines the necessary steps and considerations for implementing this callback function?

A. Implement a stored procedure within the application package that receives the file path as input. Register this stored procedure as a callback using 'ALTER APPLICATION ... SET callback_procedure = ..:. The stored procedure performs the validation and raises an error if the file is invalid.
B. Define an event table in the provider account and configure a Snowflake Notification to trigger when a new file is uploaded to the consumer's stage. The notification invokes a remote service that validates the file and updates the event table.
C. Set up an AWS Lambda function triggered by S3 events when files are uploaded to the consumer's stage. The Lambda function validates the file format and size and sends a message to a Snowflake queue, which your application then reads.
D. Create a UDF that resides within the consumer's account and is called using the 'CALL' command from the provider's application logic. The UDF validates the file properties and returns a boolean indicating success or failure.
E. Create an external function pointing to an API Gateway endpoint that performs the validation. The application logic calls this external function, passing the file path. The external function then returns a boolean indicating success or failure.

答案：A

解題說明：
The correct approach is to implement a stored procedure within the application package and register it as a callback using 'ALTER APPLICATION ... SET callback_procedure = .... This method allows the application to define and control the validation logic directly. The application can then react accordingly, such as raising an error to prevent further processing of invalid files. Options A, B, D and E all introduce complexity and security risks by relying on resources external to the application package or consumer account and are not directly supported as callback mechanisms in Snowflake Native Apps.

問題 #231
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