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Snowflake SnowPro Specialty - Native Apps Sample Questions:

1. Your Snowflake Native Application needs to integrate with an external Python library (e.g., 'requests' ) to fetch data from a third-party API. You have packaged the library using Anacond a. How do you correctly reference and use this external library within a Python UDF in your application?

A) Install the 'requests' library on each Snowflake virtual warehouse used by the application.
B) Use 'snowflake.ingest.SimplelngestManager' to manage the library dependencies within the application's metadata.
C) Create a stage to store the Anaconda packages and reference them when calling the UDF from Streamlit.
D) Specify the library in the 'imports' clause when creating the UDF using the opackageS decorator. For example:

E) Import the library directly in the UDF code using 'import requests'. Snowflake automatically handles external dependencies.

2. You are managing a Snowflake Marketplace listing for your native application. You need to update the application logic and schem a. Which of the following actions is the correct sequence to perform the update in a non-breaking way for existing consumers?

A) Modify the existing application's code and schema, create a new listing for the updated version, and remove the old listing.
B) Deprecate the existing version of the application and force all consumers to upgrade to the new version within 24 hours.
C) Create a patch version with bug fixes and create a new minor version with schema changes, and release it as an upgrade on the Marketplace.
D) Create a new version of the application with the updated logic and schema, test it thoroughly, and then release it as an upgrade on the Marketplace.
E) Directly modify the application's code and schema in the production environment, then announce the changes to consumers.

3. You are tasked with developing a Snowflake Native App that leverages a Partner provided secret using an external function which will send the processed data to their system. You plan to store the OAuth information to be used by the external function in a secret object managed by Snowflake. Which of the following steps are NECESSARY to ensure secure and correct setup of this app? Select all the options that apply.

A) Grant the 'IMPORTED PRIVILEGES privilege on the database containing the Secret object to the application role. GRANT IMPORTED PRIVILEGES ON DATABASE TO APPLICATION ROLE '
B) Bypass storing the OAuth token in Snowflake and instead rely on passing it as a parameter to the external function from the consumer account, documented clearly for the consumer's security responsibilities.
C) Store the OAuth token directly within the external function's definition as a variable, ensuring it is encrypted using AES ENCRYPT before deployment.
D) Create a Secret object in Snowflake to store the OAuth token securely and reference it within the external function using 'SYSTEM$GET_SECRET function. Ensure proper access rights on the Secret object.
E) Grant the 'USAGE privilege on the API integration to the application role if the external function requires an API integration. GRANT USAGE ON API INTEGRATION TO APPLICATION ROLE

4. A Snowflake Native Application provider has encountered performance issues with a Scala-based UDF, 'aggregate data' , used within their application. Consumers report slow execution times when processing large datasets. The provider has identified that the UDF involves complex calculations and data transformations. Which optimization techniques can be applied to improve the performance of the 'aggregate_data' UDF within the constraints of the Snowflake Native Application environment?

A) Replace the Scala UDF with a Snowflake stored procedure written in SQL. Stored procedures generally offer better performance for data-intensive operations.
B) Optimize the UDF's data structures and algorithms to reduce memory usage and improve processing efficiency. Consider using techniques such as caching frequently accessed data within the UDF.
C) Move the entire UDF logic to an external cloud function (e.g., AWS Lambda, Azure Function) and invoke it from Snowflake using a remote service. This offloads the computation to a more powerful environment.
D) Utilize Snowflake's vectorized UDF feature (if supported for Scala UDFs) to process data in batches, reducing the overhead of calling the UDF for each individual row.
E) Leverage Scala's parallel collections (e.g., 'par') to distribute the workload across multiple cores during data processing. Ensure that the UDF is designed to be thread-safe.

5. You are developing a Streamlit application within a Snowflake Native Application that needs to access a secured view named 'sensitive_data' in the application's container. This view exposes aggregated and anonymized dat a. What minimum set of privileges must be granted to the 'app_public' application role to allow users to query this view from the Streamlit application?

A) GRANT USAGE ON SCHEMA application TO APPLICATION ROLE app_public; GRANT SELECT ON VIEW .application.sensitive_data TO APPLICATION ROLE app_public;
B) GRANT USAGE ON SCHEMA application TO APPLICATION ROLE app_public; GRANT ALL PRIVILEGES ON VIEW application.sensitive_data TO APPLICATION ROLE app_public;
C) GRANT USAGE ON DATABASE TO APPLICATION ROLE app_public; GRANT SELECT ON VIEW .application.sensitive_data TO APPLICATION ROLE app_public;
D) GRANT SELECT ON VIEW .application.sensitive_data TO APPLICATION ROLE app_public;
E) GRANT USAGE ON DATABASE .application TO APPLICATION ROLE app_public; GRANT SELECT ON VIEW .application.sensitive_data TO APPLICATION ROLE app_public;

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