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Snowflake SnowPro Specialty - Native Apps Sample Questions:

1. 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 'AUTO SUSPEND' parameter controls how long a warehouse remains active after executing queries, impacting cost.
C) The 'MAX CONCURRENCY LEVEL' parameter helps manage the number of queries that can be executed concurrently on the warehouse.
D) The parameter determines if the warehouse is used for data loading vs query processing.
E) A larger warehouse size always guarantees faster query execution, regardless of the query's characteristics.

2. Consider a Snowflake Native App that dynamically creates tables within the consumer's account using stored procedures. The application role is 'APP ROLE. After installation, the application needs to automatically grant 'SELECT privilege on all newly created tables in a specific schema CAPP DATA SCHEMA) to a consumer-defined role (CONSUMER ROLE). Which of the following approaches is the most secure and efficient way to achieve this? Assume the application cannot know the names of tables in advance.

A) Include code in the stored procedure that creates the table to immediately grant SELECT privilege to CONSUMER_ROLE.
B) Grant future grants on the schema for 'SELECT privilege to the 'CONSUMER_ROLE when tables are created.
C) Use a task that runs periodically to discover new tables and grant SELECT privilege to CONSUMER_ROLE.
D) Grant OWNERSHIP on to the APP_ROLE with the GRANT OPTION, then have the application create the tables. The CONSUMER ROLE will then have implicit access.
E) Manually create tables outside of the application and grant the privileges.

3. You are designing a Snowflake Native Application package. You need to include a specific version of a Javascript UDF that calculates a complex statistical metric. You want to ensure that even if you update the application in the future, older installations continue to use the original Javascript UDF version. You also want to ensure that the javascript code is obfuscated. How do you design the application package directory structure and the UDF creation to achieve this? (Assume the UDF javascript source is named 'metric_vl .js' and is placed in the correct location within the application source code directory). The relevant 'manifest.yml' excerpt is:

A) Option D
B) Option B
C) Option C
D) Option E
E) Option A

4. 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) Modify the ' PYTHONPATHS environment variable within the Snowflake environment to include the stage where 'my_module.py' is located.
B) Use the function to dynamically load 'my_module.py' directly from the stage, specifying the full stage path.
C) Use the method in your Streamlit application code to add the stage location to the Python module search path before importing my_module' .
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) Include in a 'requirements.txt' file and use 'pip install -r requirements.txt' within the Streamlit application's entrypoint script.

5. A Snowflake Native App provider has implemented an Event Table to capture application logs. They observe a significant performance degradation in their application queries when the Event Table grows beyond a certain size. Which of the following strategies can be implemented to mitigate the performance issue, assuming that frequent querying of the last 7 days of data is common? Select ONLY ONE answer.

A) Increase the warehouse size used for querying the Event Table.
B) Partition the Event Table by date, using the ' INSTALLATION_TIMESTAMP' column.
C) Create a materialized view on top of the Event Table that filters for events within the last 7 days.
D) Implement a stored procedure that manually copies the last 7 days of data to a separate, smaller table.
E) Disable automatic clustering on the Event Table.

Solutions: