NAS-C01対策学習、NAS-C01関連日本語内容

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Snowflake NAS-C01 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|
| Snowflake Native App Framework Overview | 20% | - Native application concepts and architecture
- 1. Application packages and structure
- 2. Manifest files and setup scripts
|
| Deployment and Marketplace Publishing | 25% | - Distribution and lifecycle management
- 1. Version upgrades and release management
- 2. Marketplace listings and publishing
|
| Installation, Testing and Troubleshooting | 20% | - Validation and debugging
- 1. Logging and event tables
- 2. Tracing and troubleshooting workflows
|
| Native Application Design and Creation | 35% | - Application development workflow
- 1. Building and versioning applications
- 2. Application roles and privileges
|
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Snowflake SnowPro Specialty - Native Apps 認定 NAS-C01 試験問題 (Q127-Q132):
質問 # 127
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$GET CP POLICY' for the allowed instance families list does not contain 'GPU NV M'. What is the MOST likely reason for this and how do you rectify it?
- A. GPU instance types are automatically enabled as part of SPCS and there is no account restriction.
- B. The account does not have access to GPU-based instance families. Contact Snowflake support to enable GPU instance families for your account.
- C. The specified instance family is invalid or not supported in your region. Use 'SYSTEM$GET_CP POLICY to verify the available instance families and choose a supported one.
- D. The COMPUTE POOL needs to be explicitly associated to the application package by running ALTER APPLICATION PACKAGE ADD COMPUTE POOL my_compute_poor.
- E. 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
正解:B
解説:
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.
質問 # 128
A software vendor is developing a Snowflake Native Application for fraud detection. They plan to distribute it via the Snowflake Marketplace. They have implemented robust data governance policies within their application. What steps must they take to ensure that these policies are enforced and clearly communicated to consumers using the application in their own Snowflake accounts, specifically related to data masking policies?
- A. The vendor should create a separate documentation detailing the data governance policies and provide it alongside the Snowflake Marketplace listing. Consumers are responsible for implementing these policies in their accounts.
- B. The vendor should create masking policies. Policies created with the 'OWNERSHIP clause will be granted to the application database role. If the application creates and then shares tables, the table owner (database role) will have the ability to grant 'APPLY MASKING POLICY on those objects.
- C. Data governance policies should be implemented within the application's UI and enforced programmatically through stored procedures.
- D. The vendor must create all masking policies using the WITH MASKING POLICY clause to ensure policies are enforced on the consumer side.
- E. Data governance policies are automatically inherited by consumer accounts when they install the application.
正解:B
解説:
Masking policies with the 'OWNERSHIP' clause allow the database role to grant 'APPLY MASKING POLICY on objects created and shared by the application. This grants the necessary permissions to enforce masking policies on the consumer's end. Data policies are not automatically inherited, and consumers shouldn't solely be responsible for implementing policies themselves.
質問 # 129
You are developing a Native App on Snowflake that collects usage data from consumer accounts. You need to store this data securely and efficiently, and you anticipate that the volume of data will grow rapidly. Which of the following strategies would you consider to OPTIMIZE storage and query performance for this usage data within the application?
- A. Implement a data retention policy to automatically purge older usage data that is no longer needed.
- B. Store all usage data in a single table and rely on Snowflake's automatic clustering to handle performance.
- C. Use clustering keys on columns commonly used in queries, such as timestamp and consumer account ID. Consider data compression options if available.
- D. Partition the usage data table by consumer account ID to isolate data from different consumers.
- E. Create separate tables for each consumer account to store their usage data.
正解:A、C
解説:
Implementing a data retention policy reduces storage costs and improves query performance by removing unnecessary data. Using clustering keys optimizes query performance by physically organizing the data based on frequently queried columns. Storing all data in a single table (A) may lead to performance issues as the table grows. Partitioning (B) doesn't exist in Snowflake. Creating separate tables per account (C) can become unmanageable at scale.
質問 # 130
You are developing a Snowflake Native Application that utilizes the 'APPLICATION ROLE' within a secure data sharing context. The application needs to perform different actions based on the role assigned to the user accessing the shared dat a. Consider the following code snippet in a stored procedure:

Which of the following modifications is necessary for the stored procedure to correctly utilize the 'APPLICATION ROLE and function as intended within the context of a Snowflake Native Application and a share?
- A.

- B. No modification is needed. The function will automatically return the active 'APPLICATION_ROLE' within the share.
- C.

- D.

- E.

正解:C
解説:
Option D is correct. The 'CURRENT ROLE()' function returns the primary role of the user, not necessarily the active 'APPLICATION_ROLE. To accurately determine the active , you must use The other options are not relevant to identifying the active application role. Calling SNOWFLAKE.PLATFORM INFO.GET APPLICATION ROLE() may provide some information, but it is preferable to call CURRENT_APPLICATION_ROLE().
質問 # 131
You are developing a Snowflake Native App that needs to be configurable by the consumer during installation. You define parameters in the 'manifest.ymr file. During application installation, the consumer provides values for these parameters. How can you access these parameter values within your application's setup script ('setup.sql')?
- A. Parameter values are stored in a dedicated table automatically created by Snowflake during application installation. You can query this table using standard SQL to retrieve the parameter values.
- B. You must use the 'GET_DDL' function to retrieve the parameter values from the application object definition. The returned DDL string will contain the parameter values, which you need to parse.
- C. Parameter values are passed as arguments to the 'setup.sqr script. You need to define input parameters in the script declaration and then access them by their position or name.
- D. Use the ' SYSTEM$GET PARAMETER function within the 'setup.sqr script, passing the parameter name as an argument. This function retrieves the current value of the specified parameter for the application.
- E. Parameter values are automatically available as global variables within the 'setup.sqr script. You can reference them directly by their name as defined in the 'manifest.yml'.
正解:D
解説:
The correct answer is D. The 'SYSTEM$GET_PARAMETER function is the designated way to access the parameter values specified by the consumer during installation from within the application's setup script. This function allows you to dynamically configure the application based on the consumer's input.
質問 # 132
......
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