Snowflake SnowPro Core Certification NAS-C01

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Snowflake SnowPro Specialty - Native Apps 認定 NAS-C01 試験問題:

1. You are developing a Streamlit application within a Snowflake Native App that needs to access a custom Python module ('my_module.py') containing utility functions. The module resides in the same stage as your Streamlit application code. How would you ensure that the Streamlit application can correctly import and use this module?

A) Use the function to dynamically load 'my_module.py' directly from the stage, specifying the full stage path.
B) Include in a 'requirements.txt' file and use 'pip install -r requirements.txt' within the Streamlit application's entrypoint script.
C) Modify the ' PYTHONPATHS environment variable within the Snowflake environment to include the stage where 'my_module.py' is located.
D) Place 'my_module.py' in the same directory as your main Streamlit application file. Snowflake automatically includes all files in the same directory when deploying the application.
E) Use the method in your Streamlit application code to add the stage location to the Python module search path before importing my_module' .

2. A data analytics company, 'Data Insights Pro', is developing a Snowflake Native Application to provide advanced customer segmentation analysis. They plan to monetize this application through the Snowflake Marketplace. They want to ensure that only a specific set of customer accounts can access and install their application during the initial beta testing phase. Which of the following steps must they perform to achieve this?

A) Publish the application directly to the Snowflake Marketplace without creating a listing, and then share the installation URL with the selected customer accounts.
B) Create a private listing on the Snowflake Marketplace and share it with the specific customer accounts by explicitly granting access to their Snowflake account identifiers.
C) Create a public listing on the Snowflake Marketplace and rely on Snowflake's built-in usage monitoring to identify the intended customer accounts.
D) Use Snowflake's data sharing feature to share the application package with the customer accounts.
E) Create a public listing with a very high price to deter unintended installations, then manually adjust the price to zero for beta testers.

3. You're developing a Snowflake Native Application that stores user preferences in a table named 'USER PREFERENCES'. In version 1.0, this table only contained 'USER ID and 'THEME' columns. In version 2.0, you need to add a new 'LOCALE' column with a default value of 'en-CIS'. However, existing users should retain their existing preferences and not have the new 'LOCALE' column set to 'NULL'. Which of the following 'setup.sql' scripts correctly implements this requirement during the version upgrade?

A)

B)

C)

D)

E)

4. A customer is attempting to install your Snowflake Native Application from the Snowflake Marketplace, but the installation fails. You need to troubleshoot the issue. Which of the following steps would provide the most direct and relevant information for diagnosing the cause of the installation failure?

A) Examine the application's code repository for any recent changes that might have introduced errors.
B) Ask the customer to share their Snowflake account identifier to check internal logs.
C) Check the Snowflake system status page for any reported outages or incidents that might be affecting the Marketplace.
D) Review the Snowflake Marketplace listing details to ensure all required components and dependencies are accurately specified.
E) Query the view in the consumers account to retrieve detailed information about the installation attempt, including error messages and status codes.

5. You are developing a Snowflake Native Application that leverages user-defined functions (UDFs) and stored procedures. During the security scanning process before listing on the Snowflake Marketplace, you encounter a 'Failed to Detect Secrets' error. After investigation, you determine that the error stems from hardcoded API keys within a Python UDF that are being used to interact with a third-party service. Which of the following strategies would be MOST effective and secure to resolve this issue and pass the security scan?

A) Store the API keys in a separate, secured table within the application's data container and access them dynamically within the Python UDF using SQL queries.
B) Obfuscate the API keys within the Python UDF using a string manipulation technique. This will make it harder for unauthorized users to discover the keys.
C) Replace the hardcoded API keys with references to Snowflake secrets and grant the necessary privileges to the application role. Access the secrets within the UDF using the 'SYSTEM$GET SECRET function.
D) Encrypt the API keys within the Python UDF using a symmetric encryption algorithm and store the encryption key in a secure string within the application package.
E) Remove the Python UDF entirely and rewrite the logic in SQL stored procedures. Store the API keys as environment variables within the stored procedure's definition.

質問と回答：