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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Application Installation & Testing | 20% | - Provider and consumer workflows - Installation procedures and dependencies - Debugging and troubleshooting - Testing strategies and validation |
| Topic 2: Advanced Features & Management | 20% | - Event logging and telemetry - Integration with Snowpark and external services - Governance and compliance - Billing events and cost monitoring |
| Topic 3: Application Design & Creation | 35% | - Security and access control - Manifest files and configuration - Native App Framework architecture - Application packages and objects - Setup scripts and application logic |
| Topic 4: Application Deployment & Distribution | 25% | - Versioning and release management - Publishing to Snowflake Marketplace - Upgrades and lifecycle management - Listing types and monetization |
여러분이 다른 사이트에서도Snowflake인증NAS-C01시험 관련덤프자료를 보셨을 것입니다 하지만 우리ITDumpsKR의 자료만의 최고의 전문가들이 만들어낸 제일 전면적이고 또 최신 업데이트일 것입니다.우리덤프의 문제와 답으로 여러분은 꼭 한번에Snowflake인증NAS-C01시험을 패스하실 수 있습니다.
질문 # 352
A Snowflake Native App provider is troubleshooting an issue where consumer installations intermittently fail. The provider suspects that certain installation parameters are causing conflicts. The provider has implemented an event table to track installation attempts and errors. Which of the following SQL statements is the MOST effective way to identify the installation parameters that are most frequently associated with failed installations? Assume the event table is named "INSTALLATION EVENTS and contains columns 'INSTALLATION ID, 'STATUS' (success/failure), and PARAMETERS' (a VARIANT column storing a JSON object of installation parameters).
정답：D
설명：
Option C uses 'LATERAL FLATTEN' to extract all the keys (parameter names) from the 'PARAMETERS' VARIANT column. It then groups by the ' KEY ' (parameter name) and orders by the count of failures. This provides the most frequent parameter names associated with failures. Option A is incorrect because it groups by the entire VARIANT object, which is unlikely to produce useful results. Option B attempts to use 'GET PATH' which requires knowing the specific path, and is not dynamic. Option D is incorrect because it assumes specific parameter names ('paraml', 'param2), which may not be known in advance or may vary. Option E counts values, not keys.
질문 # 353
You are developing a Snowflake Native Application that uses a UDF (User-Defined Function) to process dat a. The UDF needs to be updated with new logic to handle a specific edge case. You want to ensure a smooth transition for existing consumers of your application. Which of the following strategies should you consider to avoid breaking changes? (Select TWO)
정답：A,E
설명：
Options B and C provide strategies to avoid breaking changes. Creating a new UDF (B) allows existing consumers to continue using the old UDF while new consumers can use the updated one. Implementing versioning within the existing UDF (C) allows the UDF to behave differently based on the version parameter, providing backward compatibility. A and D are disruptive, and E is vague and unspecific.
질문 # 354
You are developing a Snowflake Native Application that needs to track usage metrics within consumer accounts. Specifically, you want to log the number of times a particular function within your application is called, and also store certain operational statistics. Which of the following storage options are available to you within the application package to persist these metrics, and what are their implications?
(Select TWO)
정답：A,B
설명：
Options B and E are the correct choices. The 'APPLICATION' schema allows for the creation of permanent tables within the application package. These tables persist across installations and updates, making them suitable for storing usage metrics. Similarly internal stages created using the 'APPLICATION' schema will persist data across versions. Option A is incorrect as temporary tables are session-based. Option C introduces external dependencies that are not typically ideal for tightly integrated Native Apps for internal metrics. Option D involves external network calls which might be restricted and less efficient for logging internal metrics.
질문 # 355
You are developing a Snowflake Native Application that uses Streamlit for its user interface. The application needs to access a custom Python module named 'my_module' which resides within your application package. You have correctly packaged the module. However, when running the Streamlit application, you encounter an 'ImportError: No module named What is the most likely reason for this error and how can you resolve it?
정답：A
설명：
The most likely reason for the 'ImportError' is that the Python module is not located in the correct directory structure within the application package. When you build your application package, Snowflake expects your Python code to reside in a specific directory structure, typically the 'src' directory (or as configured in 'setup.py'). If the module is not in this structure or the correct package structure is not present, the Streamlit application will not be able to find it during import. Option A is incorrect, setup.py is for installation not direct packaging. Option B setting PYTHONPATH is not supported. Option D is incorrect, Custom Modules are supported by Streamlit. Option E is incorrect, as it has nothing to do with the module location and packaging.
질문 # 356
You are developing a Snowflake Native Application that offers a data anonymization service to consumers using Snowpark Container Services. The service accepts a dataset from the consumer's Snowflake account, performs anonymization within the container, and then writes the anonymized data back to a new table in the consumer's account. Which of the following is a correct and secure combination of actions required to successfully achieve this data transfer, assuming the container is already built and pushed to Snowflake's registry? (Select all that apply)
정답：B,E
설명：
To enable data transfer from the consumer's account to the container service and back, several steps are crucial: C: Correct. The consumer needs to grant CREATE TABLE privilege using an entitlement, specifically to the service account associated with the Snowpark Container Service within the Native App, for the database where the anonymized data will be writtem This ensures the application can create the new table. E: Correct. Snowflake's internal APIs provide a secure and managed way for the container service to authenticate and authorize against the consumer's Snowflake account. Database roles and entitlements are key for managing these permissions. Roles are assigned to the container's service account, enabling it to perform actions with the necessary privileges. A: Incorrect . IMPORTED PRIVILEGES grant access to objects within the provider's (application developer) account, not objects within the consumer's account. B: Incorrect. While the consumer may grant USAGE on the database, this doesn't give specific access to the table. SELECT privileges would be required for the application to read the data from the specified table. D: Incorrect. Creating stages programmatically within the consumer's account is not a standard or recommended part of Native Apps. Stages are generally managed separately and access is granted via roles and privileges.
질문 # 357
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